PURPOSE: As Quantitative Susceptibility Mapping (QSM) is maturing, more clinical applications are being explored. With this comes the question whether QSM is sufficiently robust and reproducible to be directly used in a clinical setting where patients are possibly not cooperative and/or unable to suppress involuntary movements sufficiently. Subjects and Methods: Twenty-nine patients with Alzheimers Disease (AD), 31 patients with Mild Cognitive Impairment (MCI) and 41 healthy controls (HC) were scanned on a 3T scanner, including a multi-echo gradient-echo sequence for QSM and an inversion-prepared segmented gradient-echo sequence (T1-TFE, MPRAGE). The severity of motion artifacts (excessive/strong /noticeable/invisible) was categorized via visual inspection by two independent raters. Quantitative susceptibility was reconstructed using Joint background-field removal and segmentation-Enhanced Dipole Inversion (JEDI), based on segmented subcortical gray-matter regions, as well as using ...
PurposeTo develop a method to reconstruct quantitative susceptibility mapping (QSM) from multi-echo, multi-flip angle data collected using strategically acquired gradient echo (STAGE) imaging.MethodsThe proposed QSM reconstruction algorithm, referred to as
Previous studies have detected abnormal serum ferritin levels in patients with depression; however, the results have been inconsistent. This study used quantitative susceptibility mapping (QSM) for the first time to examine brain iron concentration in depressed patients and evaluated whether it is related to severity. We included three groups of age- and gender-matched participants: 30 patients with mild-moderate depression (MD), 14 patients with major depression (MDD) and 20 control subjects. All participants underwent MR scans with a 3D gradient-echo sequence reconstructing for QSM and performed the 17-item Hamilton Depression Rating Scale (HDRS) test. In MDD, the susceptibility value in the bilateral putamen was significantly increased compared with MD or control subjects. In addition, a significant difference was also observed in the left thalamus in MDD patients compared with controls. However, the susceptibility values did not differ between MD patients and controls. The susceptibility values
Author: Schäfer, Andreas et al.; Genre: Poster; Title: Quantitative susceptibility mapping (QSM) in Alzheimers disease - A postmortem study
TY - JOUR. T1 - High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. AU - Zhou, Sihang. AU - Nie, Dong. AU - Adeli, Ehsan. AU - Yin, Jianping. AU - Lian, Jun. AU - Shen, Dinggang. PY - 2020/1/1. Y1 - 2020/1/1. N2 - Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for this task is the blurry nature of medical images (e.g., CT, MR, and microscopic images), which can often result in low-contrast and vanishing boundaries. With the recent advances in convolutional neural networks, vast improvements have been made for image segmentation, mainly based on the skip-connection-linked encoder-decoder deep architectures. However, in many applications (with adjacent targets in blurry images), these models often fail to accurately locate complex boundaries and properly segment tiny isolated parts. In this ...
Lesions displaying peripheral rings in the phase images were identified in 10 of the 39 subjects. Dipolar projections were apparent in the phase images outside of the extent of several of these lesions; however, QSM images showed peripheral rings without such projections. These projections appeared ring-like in a small number of phase images where no ring was observed in QSM. 1D profiles of six well-isolated example lesions showed that QSM contrast corresponds more closely to the magnitude images than phase contrast ...
accelerates acquisition aliasing another applied arterial artifact artifacts assessing atherosclerosis attention axial behavior besides biomedical black blood brain calcification capital carotid casing cause causing cedars characterizing china clearly clinical clinically college components considered contrast coronal cover degrades detect detection develop dilated domain drawbacks drawn echoes evaluate events feature features fibrous flow functional future generated gradient growth harmonic hemorrhage hospital important in vivo indicates initial inside institute integrative intensity intrinsic iron kingdom locate location lumen magnitude makes male manually mapping maps mark mask measured medical medicine metabolic metabolism micro might motion noise novel optimized original outside oxford patient pixels plaque plaques positive post potential previous processing progression properties propose proposed protocol quantifies quantitative recognized reconstruct reduction reviewed risk rupture several ...
PubMed comprises more than 30 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
Active Contour와 Optical Flow를 이용한 카메라가 움직이는 환경에서의 이동 물체의 검출과 추적(A Method of Segmentation and Tracking of a Moving Object in Moving Camera Circumstances using Active Contour Models and Optical Flow ...
An apparatus and method for transmitting graphical representations is disclosed. The present invention has an image generator (112) that generates an image (114) of a head (106) with facial features, including an eye portion (202) that correlates to an eye (240) in the head (106). The apparatus also has a non-updating tracker (116) that searches for an eye target image of the eye (240) in the head (106). The eye portion (202) correlating to the eye (240) is positioned at the target image located by the non-updating tracker (116). The apparatus also has an updating tracker (118) that searches for an updated eye target image when the non-updating tracker (116) is unable to locate the eye target image. The updating tracker (118) also positions the eye portion (202) at the updated eye target image and updates the updated eye target image with the eye portion (202). The updating tracker further determines the location of the eye portion (202). The apparatus also has an image differentiator (120) coupled to
An image processing apparatus having various interrupt-handling capabilities when image formation is interrupted. In one aspect, image formation is interrupted after completion of a predetermined number of image formations when the size of a recording material is indicated as a first size, and image formation is interrupted after a completion of a predetermined number of image formations when a recording material is indicated as a second size. In another aspect, a condition for image formation is selected whereby in the case the selected condition is prevented (e.g., recording on wrong-sized paper), the condition is stored, and after the image formation has commenced, a stop command is inhibited and stored. In another aspect, data concerning image information is entered, the entered data is displayed, and images are formed sequentially in accordance with the data whereby the formation of the images may be interrupted and the remaining number of image formations may be stored and displayed. It is also
The publication Image segmentation techniques is placed in the Top 10000 of the best publications in CiteWeb. Also in the category Computer Science it is included to the Top 1000. Additionally, the publicaiton Image segmentation techniques is placed in the Top 1000 among other scientific works published in 1985 ...
BOSTON, Oct. 1, 2020 /PRNewswire/ - Dyad Medical, Inc., a groundbreaking medical image analysis platform delivering cloud-based artificial intelligence (AI)-based analysis, announced after just 90 days, the closing of its oversubscribed Series Seed funding round led by The Unofficial Syndicate, with participation by Social Starts L.P., and local angel investors. Along with grants from the NIH, this brings Dyads total funding to more than $3.5MM.. Dyad, a recent Mass Challenge grad, will use the funding to enhance its patent-pending cardiac imaging software, to accelerate its FDA clearance path and expand their team to prepare for customer deployments. Dyads cloud-native platform increases the accuracy and efficiency of cardiac image analysis providing cardiologist and clinicians with near real-time observations that, prior to Dyad, in many cases were invisible to the human eye and time consuming to detail.. We are the only solution that provides cardiologists with insights on every scan they ...
Application of Biomedical Image Processing in Blood Cell Counting Using Hough Transform: 10.4018/978-1-5225-0983-7.ch046: In the field of biomedicine, blood cells are complex in nature. Nowadays, microscopic images are used in several laboratories for detecting cells or parasite
The paper describes a semi-automatic segmentation method for application to cervical and lumbar X-ray images. The method consists of a three stage, coarse
GENERATING AN EROSION IMAGE UTILIZING PARALLEL PIXEL PROCESSING - An erosion image is generated from an original digital image utilizing a processing image (b) and a target image (T), where each pixel in the target image is processed in parallel. The process entails, for each target pixel, i) determining coordinate values for the target pixel, ii) determining a surrounding pixel area for the target pixel, iii) and processing each pixel in the surrounding pixel area to determine whether or not to updated the value of the target pixel. In processing each surrounding pixel, a determination is made whether the pixel has a value of 1. If not, then the next surrounding pixel is processed. If so, then a determination is made which pixel element of a structuring element overlays the target pixel, and whether that SE pixel has a value of 1. If so, then the value of the target pixel is updated. If not, then the next pixel in the surrounding pixel area is processed. Once the target pixel has been updated a ...
Hough states that Lasorda did a great job convincing Eddie Robinson, the Texas General Manager, to acquire him with the way he was performing. [16] Late in the year, the 32-year-old Hough made just the 16th start of his career, when Ferguson Jenkins was arrested for cocaine possession. Charlie pitched a five-hit shutout on August 26th (All I could think about was, keep Fergie in jail. Lock him up and throw away the key) but did not get to pitch again for 17 days. He stated later that he said it was a good thing I didnt throw a no-hitter. I might never have pitched again. [17] He was 2-2 with a 3.96 ERA for the 1980 Rangers, beginning to right the course of his career. In 1981, Hough was 4-1 with a save and a 2.96 ERA in a good year cut short by the 1981 strike. The next year, 1982, he became a regular member of the starting rotation and went 16-13 with a 3.95 ERA, tying Dennis Martinez and Jim Clancy for 8th in the 1982 AL in victories and Ken Forsch, Geoff Zahn and Mike Caldwell for fifth ...
Gaddikeri S, Mossa-Basha M, Andre JB, Hippe DS, Anzai Y. Optimal Fat Suppression in Head and Neck MRI: Comparison of Multipoint Dixon with 2 Different Fat-Suppression Techniques, Spectral Presaturation and Inversion Recovery, and STIR. AJNR Am J Neuroradiol. 2018 Feb; 39(2):362-368 ...
Director, Center for Biomedical Image Computing and Analytics, Professor of Radiology, and - Cited by 47,769 - medical image analysis - machine learning in medical imaging
|Amber Rose publicly apologized to Julianne Hough on Monday evenings episode of Dancing with the Stars for claiming that the…
[email protected] Founded in 1997, the LPI is an officially recognized research group by the University of Valladolid since 2005 and has been considered by the Junta de Castilla y León (regional government) as a Group of Excellence in 2014 (GREX326). Its main activity is focused on medical image analysis and biomedical signal processing. It has captured funds by an overall amount of more of 2 M€ from sources including several regional, national and European grants as well as from private companies. The group has published more than 50 papers in JCR indexed journals during the last ten years. It is currently constituted by 17 people, including 6 professors and 7 PhD students.. The group has steady collaborations with clinicians of the two main hospitals in the city of Valladolid (Hospital Clínico and Hospital del Río Hortega) as well as with the Complejo Asistencial Universitario de Palencia.. Research lines. ...
The LDDMM Validation section provides input data, processing and visualization examples for LDDMM to ensure correctness of the resultant data. These examples are useful tests when LDDMM is run on new environments or platforms. Example images show atlas volume in red. On the left, the original target is in grey. On the right, the deformed atlas is pictured. A sample LDDMM command is posted with each example (click here or type ...
PURPOSE: The aim of this project was to establish a database of left and right ventricular and left atrial dimensions in healthy volunteers using steady-state free precession cardiac magnetic resonance imaging, the clinical technique of choice, across a wide age range. METHODS: 108 healthy volunteers (63 male, 45 female) underwent cardiac magnetic resonance imaging using steady-state free precession sequences. Manual analysis was performed by 2 experienced observers. RESULTS: Left and right ventricular volumes and left ventricular mass were larger in males than females: LV end-diastolic volume 160 +/- 29 mL vs. 135 +/- 26 mL, LV end-systolic volume 50 +/- 16 mL vs. 42 +/- 12 mL; RV end-diastolic volume 190 +/- 33 mL vs. 148 +/- 35 mL, RV end-systolic volume 78 +/- 20 mL vs. 56 +/- 18 mL (p | .05 for all). Normalization of values to body surface area removed the statistical differences for LV volumes, but not for LV mass or RV volumes. With increased age, males showed a significant decrease in volume and
Extraction of Layers of Vertebrate Retina from Optical Coherence Tomography Images by using Active Contour Model with Structuring ...
Markov random field (MRF) has been widely used in SAR image segmentation because of the advantage of directly modeling the posterior distribution and suppresses the speckle on the influence of the segmentation result. However, when the real SAR images are nonstationary images, the unsupervised segmentation results by MRF can be poor. The recent proposed triplet Markov field (TMF) model is well appropriate for nonstationary SAR image processing due to the introduction of an auxiliary field which reflects the nonstationarity. In addition, on account of the texture features of SAR image, a fusion image segmentation method is proposed by fusing the gray level image and texture feature image. The effectiveness of the proposed method in this paper is demonstrated by a synthesis SAR image and the real SAR images segmentation experiments, and it is better than the state-of-art methods ...
TY - JOUR. T1 - A unified framework for cross-modality multi-atlas segmentation of brain MRI. AU - Eugenio Iglesias, Juan. AU - Rory Sabuncu, Mert. AU - Van Leemput, Koen. PY - 2013. Y1 - 2013. N2 - Multi-atlas label fusion is a powerful image segmentation strategy that is becoming increasingly popular in medical imaging. A standard label fusion algorithm relies on independently computed pairwise registrations between individual atlases and the (target) image to be segmented. These registrations are then used to propagate the atlas labels to the target space and fuse them into a single final segmentation. Such label fusion schemes commonly rely on the similarity between intensity values of the atlases and target scan, which is often problematic in medical imaging - in particular, when the atlases and target images are obtained via different sensor types or imaging protocols.In this paper, we present a generative probabilistic model that yields an algorithm for solving the atlas-to-target ...
Contents: Medical Image Registration Based on BSP and Quad-Tree Partitioning.- A Bayesian Cost Function Applied to Model-Based Registration of Sub-cortical Brain Structures.- Automatic Inter-subject Registration of Whole Body Images.- Local Intensity Mapping for Hierarchical Non-rigid Registration of Multi-modal Images Using the Cross-Correlation Coefficient.- Multi-modal Image Registration Using Dirichlet-Encoded Prior Information.- Removal of Interpolation Induced Artifacts in Similarity Surfaces.- Symmetric Diffeomorphic Image Registration: Evaluating Automated Labeling of Elderly and Neurodegenerative Cortex and Frontal Lobe.- Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains.- Canonical Correlation Analysis of Sub-cortical Brain Structures Using Non-rigid Registration.- A Novel 3D/2D Correspondence Building Method for Anatomy-Based Registration.- 2D-to-3D X-Ray Breast Image Registration.- Variational Image Registration with Local Properties.- ...
Steady-state free precession (SSFP) is a highly-efficient MRI pulse sequence that has been a fairly recent arrival in the functional MRI realm. Several methods for using balanced SSFP to detect the BOLD signal have been proposed to date and will be discussed in this review. After a brief introduction to the general properties of SSFP, this review describes the quite different approaches of transition-band and pass-band SSFP in terms of functional contrast mechanism. It then discusses the potential advantages of these techniques, followed by their challenges and shortcomings. Finally, it gives an overview of some applications considered to date and the authors perspective on where these techniques are headed. In the spirit of this special issue, the author also includes some of the personal history underlying her own explorations in this area. © 2011 Elsevier Inc.
Aorta dissection is a serious vascular disease produced by a rupture of the tunica intima of the vessel wall that can be lethal to the patient. The related diagnosis is strongly based on images, where the multi-detector CT is the most generally used modality. We aim at developing a semi-automatic segmentation tool for aorta dissections, which will isolate the dissection (or flap) from the rest of the vascular structure. The proposed method is based on different stages, the first one being the semi-automatic extraction of the aorta centerline and its main branches, allowing an subsequent automatic segmentation of the outer wall of the aorta, based on a geodesic level set framework. This segmentation is then followed by an extraction the center of the dissected wall as a 3D mesh using an original algorithm based on the zero crossing of two vector fields. Our method has been applied to five datasets from three patients with chronic aortic dissection. The comparison with manually segmented ...
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A 53 year old man was referred for a contrast enhanced cardiovascular magnetic resonance (CMR) scan for assessment of anterior myocardial wall viability. An earlier coronary angiogram had shown a mid left anterior descending artery (LAD) occlusion, and echocardiography had shown mildly reduced global left ventricular function without any other abnormalities. Cine CMR images (steady state free precession sequence) showed a dilated left ventricle (LV) with reduced global systolic function [End-diastolic volume 224 mls (NR 77-195 mls); end-systolic volume 124 mis (NR 19-72 mls); ejection fraction 45%]. There was wall thinning and akinesis of the anteroapical wall and severe hypokinesis of the mid anteroseptal wall. Postgadolinium images (segmented inversion recovery turboFLASH sequence) revealed a prominent LV apical thrombus which measured 1.4 cm at greatest diameter (Figure 1). Using the late gadolinium technique there was extensive (mainly transmural) hyperenhancement (HE) involving the mid and apical
An in-depth-introduction into medical image analysis, suitable for use as a textbook Provides a detailed discussion on segmentation, classification and
The Section for Biomedical Image Analysis (SBIA), part of the Center of Biomedical Image Computing and Analytics - CBICA, is devoted to the development of computer-based image analysis methods, and their application to a wide variety of clinical research studies. Image analysis methodologies include functional and structural connectomics, radiomics and radiogenomics, machine learning in imaging, image registration, segmentation, population-based statistical analysis.]
Publication date: Feb 07, 2020. Smaller manually-segmented amygdala volumes have been associated with poorer motor and cognitive function in Huntingtons disease (HD). Manual segmentation is the gold standard in terms of accuracy; however, automated methods may be necessary in large samples. Automated segmentation accuracy has not been determined for the amygdala in HD. We aimed to determine which of three automated approaches would most accurately segment amygdalae in HD: FreeSurfer, FIRST, and ANTS nonlinear registration followed by FIRST segmentation. T1-weighted images for the IMAGE-HD cohort including 35 presymptomatic HD (pre-HD), 36 symptomatic HD (symp-HD), and 34 healthy controls were segmented using FreeSurfer and FIRST. For the third approach, images were nonlinearly registered to an MNI template using ANTS, then segmented using FIRST. All automated methods overestimated amygdala volumes compared with manual segmentation. Dice overlap scores, indicating segmentation accuracy, were not ...
Tiepolt, S.; Schäfer, A.; Rullmann, M.; Roggenhofer, E.; Netherlands Brain Bank; Gertz, H.-J.; Schroeter, M. L.; Patt, M.; Bazin, P.-L.; Jochimsen, T. H. et al.; Turner, R.; Sabri, O.; Barthel, H.: Quantitative susceptibility mapping of amyloid-β aggregates in Alzheimers disease with 7T MR. Journal of Alzheimers Disease 64 (2), pp. 393 - 404 (2018 ...
This paper presents a semi-automated segmentation method for short-axis cardiac CT and MR images. The main contributions of this work are: 1) using two different energy functionals for endocardium and epicardium segmentation to account for their distinctive characteristics; 2) proposing a dual-background model that is suitable for representing intensity distributions of the background in epicardium segmentation; 3) designing a novel shape prior term that is robust and controllable; and 4) an improved estimation of myocardium thickness by using edge information. Experimental results on cardiac CT, perfusion and cine MR images show that our method is robust and effective for both CT and MR images. © 2009 IEEE ...
Author: Lotfipour, Ashley K. et al.; Genre: Journal Article; Published in Print: 2012-01-01; Keywords: Susceptibility; Substantia nigra; Pars compacta; Iron; Parkinson's disease; Title: High resolution magnetic susceptibility mapping of the substantia nigra in Parkinson's disease
Staining methods routinely used in pathology lead to similar color distributions in the biologically different regions of histopathological images. This causes problems in image segmentation for the quantitative analysis and detection of cancer. To overcome this problem, unlike previous methods that use pixel distributions, we propose a new homogeneity measure based on the distribution of the objects that we define to represent tissue components. Using this measure, we demonstrate a new object-oriented segmentation algorithm. Working with colon biopsy images, we show that this algorithm segments the cancerous and normal regions with 94.89 percent accuracy on the average and significantly improves the segmentation accuracy compared to its pixel-based counterpart. © 2008 Elsevier Ltd. All rights reserved ...
Quantifying flow from phase-contrast MRI (PC-MRI) data requires the vessels of interest be segmented. the effect of segmentation accuracy and provide some criteria that if met would keep errors in circulation quantification below 10% or 5%. Four different segmentation methods were used on simulated and phantom MRA data to verify the theoretical results. Numerical simulations showed that including partial volumed edge pixels in vessel segmentation provides less error than Rabbit polyclonal to AHRR. missing them. This was verified with MRA simulations as the best performing segmentation method generally included such pixels. Further it was found that to obtain a circulation error of less than 10% (5%) the vessel should be at least 4 (5) pixels in diameter have an SNR of at least 10:1 and a maximum velocity to saturation cut-off velocity ratio of at least 5:3. Intro Quantifying blood flow is becoming an increasingly important means by which to study vascular disease with applications not only in ...
Automatic segmentation of anatomical structures is often performed using model-based non-rigid registration methods. These algorithms work well when the images do not contain any large deviations from the normal anatomy. We have previously used such a method to generate patient specific models of hip bones for surgery simulation. The method that was used, the morphon method, registers two- or three-dimensional images using a multi-resolution deformation scheme. A prototype image is iteratively registered to a target image using quadrature filter phase difference to estimate the local displacement. The morphon method has in this work been extended to deal with automatic segmentation of fractured bones. Two features have been added. First, the method is modified such that multiple prototypes (in this case two) can be used. Second, normalised convolution is utilised for the displacement estimation, to guide the registration of the second prototype, based on the result of the registration of the ...
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Systems and methods for image segmentation using a deformable atlas are provided. One method includes obtaining one or more target images, obtaining one or more propagated label probabilities for the
In this paper, two proposed alterations to the dynamic programming parametric active contour model (or snake) are introduced. The first alteration allows the snake to converge to the one-response result of a modified Canny edge detector. The second provides a function that allows a user to preset a-priori knowledge about a given object being detected, by means of curve fitting and energy modification. The results yield accurate segmentations of cross-sectional transverse carotid artery ultrasound images that are validated by an independent clinical radiologist. Utilizing the proposed alterations leads to a reduction of clinician interaction time while maintaining an acceptable level of accuracy for varying measures such as percent stenosis. ...
Medical imaging, such as CT, MRI, shows the information inside the patients body using the non-invasive method so that it is overall better for the doctor´s diagnoses and less painful for patients. However the raw data can only give the material to the doctor, the doctor has to decide for himself what is important and what is not. The computer-aided diagnoses use digital means to process the medical and extract the useful information so that the doctor can make a diagnosis decision easier and quicker. With TelePax-3D option we want to do medical image segmentation three-dimensionally and visualize the segmented object, thereby giving doctors the means of measurement and analysis of the object of interest.. ...
A method to generate an output image that improves observation of a target image viewed on a medium by an optical system is disclosed. The method includes receiving at least one target image by a processing system, receiving at least one parameter by the processing system, defining an error signal associated with the difference between calculated optical system observation of intermediate images and the at least one target image, minimizing the error signal, and generating an output image associated with the intermediate image having the minimized error.
Recently, image-based, high throughput RNA interference (RNAi) experiments are increasingly carried out to facilitate the understanding of gene functions i
Executive Vice President and Chief Product Officer. PJ Hough is executive vice president and chief product officer for Citrix and is responsible for providing direction for the companys current and future technology direction. As the evangelist in chief he works closely in elevating relationships with key technology partners, while advancing our mission and product vision with customers and channel partners alike.. Hough brings more than 25 years of industry experience to Citrix, most recently serving as the CVP of Developer division at Microsoft leading the evolution of the Visual Studio product portfolio to fully modern engineering practices, helping to increase revenue and focus on data-driven decision making. Prior to that, he spent over 17 years in the Microsoft Office Division, driving vision and execution for the program management of the entire Office suite culminating with introduction of Office365.. Hough earned a bachelors degree in computer applications with honors from the ...
Volume is computed by integrating the flow rate. Any time that data are integrated, decisions must be made about when to re-set the integral. That is, at some point it should be declared that the volume is zero. Typically the flow signal itself is used to re-set the integral. When the flow drops below a certain value, the volume calculation channel is re-set to zero, and subsequent flow is integrated until the flow becomes less than the re-set threshold again, at which point the volume is declared to be zero again. When no subject is breathing through the flow transducer, the signal will, ideally, be very close to zero. In this case, integrating the flow is of no consequence, especially if the signal frequently crosses zero (so that sometimes volume is added and sometimes subtracted) or the re-set threshold (so that the volume keeps getting set back to zero). However, if there is a slight offset in the transducer - if a non-zero signal is consistently indicated when there is no flow, the ...
Julianne Hough Finally Feels Better After Tearing a Ligament: Photo #3071547. Julianne Hough flashes her beautiful smile while running errands on Wednesday (March 12) in Beverly Hills, Calif. The 25-year-old actress wrote on Instagram about…
The embedded image field edit type displays an application-level image definition on the detail screen that can be interactive. Definable behaviors include whether or not to resize the image to fit in the space allocated for the field, the cropping behavior of the image displayed, and the ability to divide the image into cells to elicit different behaviors when different portions of the image are selected.. Each cell in an embedded image field is represented by a child definition to the field in the Editor. This definition type is called an image cell. There will be as many of these image cells as there are cells in the image, which is a multiple of the rows and columns defined for the field. Note that the embedded image field edit type was named the image field edit type in versions of the Agentry Mobile Platform. Starting with version 5.1 and going forward, this field edit type has been named embedded image. This is to distinguish this field edit type from the image capture field, which ...
The School of Engineering at University of Connecticut seeks educational and research excellence of the highest caliber. We are renowned for superb faculty, state-of-the-art research centers and dynamic course offerings. Our six departments reflect the traditional and newly emerging, increasingly multidisciplinary nature of the marketplace.
The course on MR image processing - from image data to information provides an overview on modern technologies for dealing with MR images. This ranges from simple pre-processing methods, over aligning dataset with different contrasts to quantitative analysis and visual exploration of results. A short outlook on using MR images for modelling is also given. The variety of methods that have been developed in the past is categorised and analysed critically. The course is aimed at providing the participants with criteria for deliberate selection of tools and methods in their studies. The course will provide practical tips and tricks for powerful processing of image data as well as several practical examples ...
Computational Biomedicine Imaging and Modeling Center, The School of Arts and Sciences, Rutgers, The State University of New Jersey
Computational Biomedicine Imaging and Modeling Center, The School of Arts and Sciences, Rutgers, The State University of New Jersey
January 5, 2012 - NinePoint Medical Inc. received 510(k) clearance from the U.S. Food and Drug Administration (FDA) to market its Nvision VLE Imaging System, a next-generation, high-resolution optical imaging technology. The Nvision VLE Imaging System is indicated for use as an imaging tool in the evaluation of human tissue microstructure by providing two-dimensional, cross-sectional and real-time depth visualization.. The Nvision VLE Imaging System is the first volumetric optical coherence tomography (OCT) device cleared by the FDA for endoscopic imaging. It uses a circumferential scanning technique and an automatic pullback to generate cross sectional and longitudinal images simultaneously in real-time. Clinicians can then analyze and immediately act on these images, thus providing patients with streamlined care and a significantly shortened timeline between detection, diagnosis and treatment.. The Nvision VLE Imaging System:. ...
cole de Technologie Sup rieure | www.etsmtl.ca - Cited by 1,203 - Medical image analysis - image alignment - computer vision - machine learning.
Apparatus for combining an auxiliary image and a main image includes a source of a main image video signal and a source of samples representing an auxiliary image video signal having successive fields. A quincunx subsampler is coupled to the auxiliary image sample source and subsamples the auxiliary image samples in either a first sample pattern in which samples are taken at a first set of horizontal locations, or a second sample pattern in which samples are taken at a second set of horizontal locations substantially midway between the first set, all in response to a control signal. A signal combiner is coupled to the quincunx subsampler and the main image signal source, and combines the main image signal and a signal representing the quincunx subsampled auxiliary image samples to generate a signal representing a combined image of the main and auxiliary images. A control circuit, generates the quincunx subsampler control signal so that the quincunx
Julianne Hough just blogged her management wanted her to lie about her medical condition.Hough says: It turned out I ruptured a cyst that was on my…
Welcome to the Mivia Lab. Mivia is a research Lab of the University of Salerno active in the fields of Pattern Recognition and Computer Vision. Mivia Lab gives contributions to theoretical aspects of Pattern Recognition as syntactic and structural classification paradigms, graph matching and learning and classification reliability. Mivia Lab is particularly directed to applied research in real time video interpretation for videosurveillance applications and human behaviour understanding, biomedical image interpretation for automatic diagnostic systems and robot vision. ...
Die häufigsten Todesfälle in den Industrienationen basieren auf Erkrankungen des Herz-Kreislauf-Systems. Davon entfallen in etwa die Hälfte auf ischämische Herzerkrankungen. Die hohe Sterblichkeitsrate bei Herzkranzgefäßerkrankungen macht eine effiziente Früherkennung solcher Krankheiten nötig. Hierfür hat sich die Perfusionsdiagnostik mittels Magnet-Resonanz-Tomographie (MRT) als sehr vielversprechend herausgestellt. Um die Durchblutung der Herzkranzgefäße sichtbar zu machen, wird ein Kontrastmittel intravenös appliziert. Da die manuelle Analyse solch großer Datenmengen sehr zeitaufwändig ist, wird eine Automatisierung angestrebt. Derzeit existieren allerdings nur Teillösungen einer automatischen Analyse. In dieser Diplomarbeit wurden vier Schritte für die Implementierung einer solchen Anwendung identifiziert: Lokalisierung des Herzens in den Daten, Unterdrückung bzw. Kompensation von Bewegungsartefakten, Segmentierung des Herzmuskels sowie die Analyse der Perfusion des ...
This white paper evaluates a post-processing solution for whole-liver and dual-seed lobar segmentation assessing whether fully-automated whole-liver and dual-seed lobar segmentation can be achieved with high precision.
Image Acquisition Toolbox provides a complete set of tools for controlling and communicating with a variety of PC-compatible image acquisition hardware.
Schema of different sequences. a) Both presaturation pulses were applied; b) presaturation pulses were applied in alternated fashion; c) presaturation pulse flip angle was reduced to 53°. ...
An image processing device includes an image estimation unit that estimates an image prior to the jaggedness occurrence from a jaggedness-occurring image and generates an estimated image prior to the jaggedness occurrence, and a weighting/adding unit that selects a jaggedness-occurring area as a processing target area in the estimated image prior to the jaggedness occurrence, detects a similar area that is a pixel area and similar to the processing target area, and then computes a weight according to the degree of similarity of each detected similar area to the processing target area, and detects a corresponding area in the jaggedness-occurring image to the processing target area and the similar area, and then computes a corrected pixel value of the processing target area of the jaggedness-occurring image through a weighting/adding process to which the weight of a pixel value of the detected corresponding area is applied.
Hi guys,. I want a help in this issue, please look into . In my recent theme design, I put a fixed ( no scroll ) image to the theme background . So every page of the site has this background image, and on top of that image everything loads ( ex. main container , etc ) . But as different different visitors use different screen resolutions and browsers, i used a really big image ( 1460px by 1000px ) as above mentioned background . Because I want to avoid visitors see the background ( i want them to see the image as the background ) . But the problem now is, even after reducing the quality, still the background image ( jpeg file ) is about 500KB which is a big size . And takes a long time to load . I want to solve this problem . Is there any proper way to solve this ? I think splitting the image into few parts would make the site load faster . But I dnt know how to make the allignment for splitted parts ( i want to finally show the complete image without any mis alignment ) correctly .. Thanks ...
The |i|Journal of Electronic Imaging|/i| (JEI), copublished bimonthly with the Society for Imaging Science and Technology, publishes peer-reviewed papers that cover research and applications in all areas of electronic imaging science and technology.
The |i|Journal of Electronic Imaging|/i| (JEI), copublished bimonthly with the Society for Imaging Science and Technology, publishes peer-reviewed papers that cover research and applications in all areas of electronic imaging science and technology.
A method for making a secure identification document with multiple images is provided. Information is provided to an information bearing layer, the information constructed and arranged to be capable o