Rapid diagnosis of thoracic aortic transection using intravenous digital subtraction angiography. Limited value of technetium 99m-labeled red cell scintigraphy in localization of lower gastrointestinal bleeding
Non-rigid multi-modal image registration plays an important role in medical image processing and analysis. Existing image registration methods based on similarity metrics such as mutual information (MI) and sum of squared differences (SSD) cannot achieve either high registration accuracy or high registration efficiency. To address this problem, we propose a novel two phase non-rigid multi-modal image registration method by combining Weber local descriptor (WLD) based similarity metrics with the normalized mutual information (NMI) using the diffeomorphic free-form deformation (FFD) model. The first phase aims at recovering the large deformation component using the WLD based non-local SSD (wldNSSD) or weighted structural similarity (wldWSSIM). Based on the output of the former phase, the second phase is focused on getting accurate transformation parameters related to the small deformation using the NMI. Extensive experiments on T1, T2 and PD weighted MR images demonstrate that the proposed wldNSSD-NMI or
Non-rigid multi-modal image registration plays an important role in medical image processing and analysis. Existing image registration methods based on similarity metrics such as mutual information (MI) and sum of squared differences (SSD) cannot achieve either high registration accuracy or high registration efficiency. To address this problem, we propose a novel two phase non-rigid multi-modal image registration method by combining Weber local descriptor (WLD) based similarity metrics with the normalized mutual information (NMI) using the diffeomorphic free-form deformation (FFD) model. The first phase aims at recovering the large deformation component using the WLD based non-local SSD (wldNSSD) or weighted structural similarity (wldWSSIM). Based on the output of the former phase, the second phase is focused on getting accurate transformation parameters related to the small deformation using the NMI. Extensive experiments on T1, T2 and PD weighted MR images demonstrate that the proposed wldNSSD-NMI or
Conray is indicated for use in excretory urography, cerebral angiography, peripheral arteriography, venography, arthrography, direct cholangiography, endoscopic retrograde cholangiopancreatography, contrast enhancement of computed tomographic brain images, cranial computerized angiotomography, intravenous digital subtraction angiography and arterial digital subtraction angiography. Conray may also be used for enhancement of computed tomographic scans performed for detection and evaluation of lesions in the liver, pancreas, kidneys, abdominal aorta, mediastinum, abdominal cavity and retroperitoneal space ...
The main reason this research was conducted was to analyze artifacts that was produced in the Digital Subtraction Angiography (DSA) images on the human brain part. Artifacts existence can affect patient diagnosis. The method devised was substantial for improving images is temporal subtraction technique and pixel shifting technique. This is a retrospective research on ten patients that was obtained using Picture Achieving and Communication System (PACS) at Radiology Department, HUSM. The results obtained were subtraction artifacts which was still available can be improved by referring to three selected journals. ...
Our involvement in the discovery of the hypocretin (orexin) neuropeptides was a conjunction of independent, somewhat haphazard, events. In August 1995, senior author T.S.K. took sabbatical leave from Stanford University to join the laboratory of J. Gregor Sutcliffe at the Scripps Research Institute in La Jolla, California. Sutcliffes laboratory was actively using the directional tag-PCR subtraction technique to isolate brain region-specific mRNAs (Usui et al., 1994; Gautvik et al., 1996). When T.S.K. entered the laboratory, a hypothalamus versus hippocampus and cerebellum subtraction led by Kaare Gautvik, was well underway. Gautvik suggested to T.S.K. that he should characterize some of the anonymous clones that were emerging from the hypothalamic subtraction, one of which (H35) had a very specific localization within the hypothalamus. Working with Sutcliffe laboratory members Luis de Lecea, Patria Danielson, and Pam Foye, the full-length clone for H35 was isolated from the rat, its cDNA ...
CTA has an established role as an important tool for noninvasive vascular imaging. The technique is increasingly used in the intra- and extra cranial vasculature, particularly in the detection and evaluation of intracranial aneurysms and vascular occlusive disease in the neck (1-4). Conventional CTA methods depend on postprocessing of the helical data followed by manual editing to remove the bony structures. This approach has significant limitations, especially in the region of the skull base where separation of blood vessels from bone could be difficult, and a low sensitivity for the test could result (5). Manual editing can be time-consuming and less experienced operators may have difficulty in selecting the correct areas to be removed.. Results of our study show that, by using a simple digital subtraction technique to remove bone, the quality of images generated with CTA can be significantly improved. The crucial factors in obtaining good-quality subtraction are 1) avoiding movement artifacts ...
The European Synchrotron Radiation Facility Medical Research Beamline is now fully operational. One of the primary programs is the development of dual-energy transvenous coronary angiography for in vivo human research protocols. Previous work at this and other synchrotrons has been entirely devoted to the use of the dual-energy digital subtraction technique at the iodine k-absorption edge at 33.17 keV. The images are recorded in a line scan mode following venous injection of the contrast agent. Considerations of the patient dose, the dilution of the contrast agent in the pulmonary system and the arteries overlying the filled ventricles have limited the image quality. The ESRF facility was designed to allow dual- energy imaging at higher energies, for example at the gadolinium k-absorption edge at 50.24 keV. The advantages have been theoretically known for many years, with the higher energy promising higher image quality with less radiation dose. During the commissioning phase of the ESRF ...
The role of the inferior parietal lobule (IPL) and superior temporal gyrus (STG) or subcortical pathways as possible anatomical correlates of spatial neglect is currently intensely discussed. Some of the conflicting results might have arisen because patients were examined in the acute stage of disease. We examined the anatomical basis of spatial neglect in a sample of patients examined in the post-acute stage following right-hemispheric vascular brain damage. Lesions of 28 patients with chronic spatial neglect were contrasted to lesions of 22 control patients without neglect using lesion subtraction techniques and voxel-wise comparisons. The comparisons identified the temporo-parietal junction (TPJ) with underlying white matter, the supramarginal gyrus, the posterior STG, and the insula as brain regions damaged significantly more often in neglect compared to non-neglect patients. In a subgroup of neglect patients showing particularly large cancellation bias together with small errors on line bisection
I could really use buy synthroid pills the other 60. Synthroid buy synthroid. Détails Publié le mercredi 7 novembre 2012 10:06 Écrit par SuperUtilisateur.. SUMMARY OF PRODUCT CHARACTERISTICS 1. NAME OF THE. Alternative techniques which do not involve. • Subtraction technique of the activity of the thyroid.cheap synthroid medication Menu principal. synthroid alternative drug. generic synthroid better. generic. synthroid alternative; Histoire. Un Val en forГЄt.acid is a welcome alternative to cheno. cabozantinib in medullary thyroid can-cer (Prescrire Int n° 167), regorafenib in gastrointestinal stromal tumours after ...
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.- ...
We have developed a multi-modal imaging approach for SIRT, combining 99mTc-MAA SPECT/CT and/or 90Y PET, 18F-FDG PET/CT, and contrast-enhanced CBCT for voxel-based dosimetry, as a tool for treatment planning and verification. For radiation dose prediction calculations, a segmentation of the total liver volume and of the liver perfusion territories is required. In this paper, we proposed a procedure for multi-modal image analysis to assist SIRT treatment planning. The pre-treatment 18F-FDG PET/CT, 99mTc-MAA SPECT/CT, and contrast-enhanced CBCT images were registered to a common space using an initial rigid, followed by a deformable registration. The registration was scored by an expert using Likert scores. The total liver was segmented semi-automatically based on the PET/CT and SPECT/CT images, and the liver perfusion territories were determined based on the CBCT images. The segmentations of the liver and liver lobes were compared to the manual segmentations by an expert on a CT image. Our methodology
Previously developed threshold-based techniques [2] were insufficient to isolate guidewire signal due to the reduced susceptibility of paramagnetic guidewires at 0.55T. A mixture-of-Gaussians based clustering and region-growing segmentation was implemented using MATLAB2019a to identify the guidewire (Figure 1). The algorithm used four image inputs: the anatomical image, the positive contrast image, a subtraction image from baseline, and a frame-by-frame temporal subtraction image. One mask was generated from the two subtraction images to identify guidewire motion. A second mask from the positive contrast images was used to isolate signal from guidewire shaft. The masks were used as seed points for region-growing, and a connected-component analysis was used to select the guidewire pixels ...
A computer-controlled reproduction device is described for recreating a 3-dimensional image representative of a subject image in a permanent medium such as a sheet of transparent plastic. Digital signals representative of the subject image are stored in the memory of the computer and used by the computer to control a machine tool for drilling a plurality of holes in the plastic sheet representative of the subject image. The machine tool contains a drill bit which is tapered over the length of its travel into the plastic sheet so the deeper the penetration into the sheet, the larger the diameter of the entrance hole in the sheet. The depth of each hole is controlled by the computer to correspond to the lightness of the subject image at that point.
This paper introduces a novel method for inferring spatially varying regularisation in non-rigid registration. This is achieved through full Bayesian inference on a probabilistic registration model, where the prior on transformations is parametrised as a weighted mixture of spatially localised components. Such an approach has the advantage of allowing the registration to be more flexibly driven by the data than a more traditional global regularisation scheme, such as bending energy. The proposed method adaptively determines the influence of the prior in a local region. The importance of the prior may be reduced in areas where the data better supports deformations, or can enforce a stronger constraint in less informative areas. Consequently, the use of such a spatially adaptive prior may reduce the unwanted impact of regularisation on the inferred deformation field. This is especially important for applications such as tensor based morphometry, where the features of interest are directly derived from the
We introduce a generative probabilistic model for segmentation of tumors in multi-dimensional images. The model allows for different tumor boundaries in each channel, reflecting difference in tumor appearance across modalities. We augment a probabilistic atlas of healthy tissue priors with a latent atlas of the lesion and derive the estimation algorithm to extract tumor boundaries and the latent atlas from the image data. We present experiments on 25 glioma patient data sets, demonstrating significant improvement over the traditional multivariate tumor segmentation.
We have presented and assessed a new approach to the registration of volumetric DCE-MR liver images. The method which realigns liver volumes using two procedures (rigid 3D translation followed by 2D non-rigid realignment using a CDWT algorithm) produced a significant increase of NMI (of about 31%). Subtraction images obtained after realignment showed, in comparison to VIBE post-contrast images, improved clinical utility as shown by clinical score.. Registration of hepatic volumes is not trivial because liver is a soft tissue undergoing considerable movement during respiration [18, 20, 33]. We approached the problem of hepatic volume realignment by a combination of rigid (only translations) and non-rigid registrations, as also suggested by other authors [17]-[20]. Rigid registration is usually employed to pre-align the two volumes (compensating for macroscopic liver movement in cranio-caudal direction) and aid the successive non-rigid registration to quickly converge to the optimal solution [21]. ...
We present an elastic registration algorithm for the alignment of biological images. Our method combines and extends some of the best techniques available in the context of medical imaging. We express the deformation field as a B-spline model, which allows us to deal with a rich variety of deformations. We solve the registration problem by minimizing a pixelwise mean-square distance measure between the target image and the warped source. The problem is further constrained by way of a vector-spline regularization which provides some control over two independent quantities that are intrinsic to the deformation: its divergence, and its curl. Our algorithm is also able to handle soft landmark constraints, which is particularly useful when parts of the images contain very little information or when its repartition is uneven. We provide an optimal analytical solution in the case when only landmarks and smoothness considerations are taken into account. We have applied our approach to perform the ...
Initial Preprocessing happens prior to performing the OCT registration, our method requires two initial preprocessing steps that are applied to the OCT images. First we apply an intensity normalization process to each OCT volume. Second, we estimate and mask the images to the retinal boundaries by locating the inner limiting membrane (ILM) and Bruchs membrane (BrM), which also serve as landmarks for our affine registration step. We then start the image registration. The primary goal of image registration is to estimate a transformation that maps corresponding locations between a subject image and a target image. The two major challenges of retinal OCT registration are that the image voxels tend to be highly anisotropic and that the physical geometry of the image is not properly defined by how the A-scans are presented in the OCT. To address these concerns, we impose strong restrictions on the class of transformations our registration is allowed to estimate. In the x(lateral) and y(through ...
Initial Preprocessing happens prior to performing the OCT registration, our method requires two initial preprocessing steps that are applied to the OCT images. First we apply an intensity normalization process to each OCT volume. Second, we estimate and mask the images to the retinal boundaries by locating the inner limiting membrane (ILM) and Bruchs membrane (BrM), which also serve as landmarks for our affine registration step. We then start the image registration. The primary goal of image registration is to estimate a transformation that maps corresponding locations between a subject image and a target image. The two major challenges of retinal OCT registration are that the image voxels tend to be highly anisotropic and that the physical geometry of the image is not properly defined by how the A-scans are presented in the OCT. To address these concerns, we impose strong restrictions on the class of transformations our registration is allowed to estimate. In the x(lateral) and y(through ...
By SVV Satyanarayana. GroupWise is a product from Novell that provides for team collaboration like email, sharing documents in a team, instant messaging, scheduling meetings, reminders, etc. It comes under category of "Collaboration Software".. The beauty of GroupWise is that its client as well as server is supported on different OS platforms. A GroupWise client is available on Mac, Windows and Linux, as well as the web. The GroupWise Server is supported on Windows Server, Linux and NetWare. So users have many options.. This article is about the instant messaging feature of GroupWise. Novell GroupWise Messenger is a corporate instant messaging application that ships with every GroupWise client, including the WebAccess client.. ...
Medical Images Integration for Multi-media European Databases Interconnection and Common Access (MediMedia) is only able to succeed if the standardisation issue is properly addressed. The second objective of the MediMedia consortium therefore consists in the launch of an observatory of standards for medical imaging that will interact with standardisation bodies through periodic reports on the implementation of these standards. In a next stage, the multi-modal images have to be integrated into the patient record. This requires the smooth interoperability between systems that host images from various sources.. The consortium consists of companies, hospitals and universities from seven European countries. The members have built extensive experience in several imaging procedures and modalities in former projects such as Cardiassist for cardiac ultrasound, Gaster for digestive endoscopy, Medframe and Target for radiology, Iaeva and Eurorad for radiology and pathology, and Igos for pelvic surgery and ...
October 29, 2012 - Updated with Video/Photos Click here , Novell recently published a Letter to the Editor in the student newspaper at SCU. I thought it would be nice to see the entire letter from Kari Woolf in print.. Several articles have appeared in The Santa Clara concerning the universitys plans to migrate from Novell GroupWise to Gmail. As the Marketing Manager for GroupWise, Id like to provide some facts that should be considered in the journalistic analysis.. First, Santa Clara University is running the GroupWise 7 client. This client was released in 2005 and obviously lacks the user interface enhancements, mobile device support and other new features of more recent versions, including GroupWise 2012. I wont question the decisions of the universitys IT department, but SCU users should recognize that they are not leveraging anything close to present-day GroupWise capabilities.. More importantly, customers migrating to Gmail from any other email solution often encounter unanticipated ...
Volumes change during fractionated radiotherapy (RT). We investigate a tool based on the Hierarchical Enhanced Registration Algorithm (HERA) to project a 3D segmentation set of the prostate into the subsequent imaging sets at any time point during RT
This program runs the non-rigid registration of an perfusion image series.In each pass, first an ICA analysis is run to estimate and eliminate the periodic movement and create reference images with intensities similar to the corresponding original image. Then non-rigid registration is run using the an "ssd + divcurl" cost model. The B-spline c-rate and the divcurl cost weight are changed in each pass according to given parameters.In the first pass a bounding box around the LV myocardium may be extractedto speed up computation Special note to this implemnentation: the registration is always run from the original images to avoid the accumulation of interpolation errors. ...
This document describes an ITK-based implementation of intensity-based 2D/3D rigid image registration for patient setup assessment in external beam ra
In this article, we will present a novel interactive image registration technique using the 3D volumetric view as guidance throughout the registration
A method is provided for accelerating non-rigid image registration, using parallel processors. To that end, on a commercially available graphics card, a block-matching algorithm is implemented, which
If the image origin and orientation are stored as a matrix-offset transform within the image base class, then ITKs registration framework can be adapated to directly optimize this "embedded transform" during registration. This may reduce image registration time by up to 33%. The underlying concept is that an image has a pose in a scene/space. This pose captures the acquisition orientation of an image as well as how that image has been moved in space (e.g., as captured by intra-operative data). This concept is essentially the motivation behind spatialObjects. An images embedded transform would be equal to the index-to-world transform maintained as a helper member variable in spatialObjects. Image-image registration currently involves three transforms: (1) the fixed images indexToPhysicalSpace transform, (2) the transform being optimized, and (3) the moving imagess physicalSpaceToindex transform. The embedded transform within an image can combine transforms (2) and (3). For registration it is ...
If the image origin and orientation are stored as a matrix-offset transform within the image base class, then ITKs registration framework can be adapated to directly optimize this "embedded transform" during registration. This may reduce image registration time by up to 33%. The underlying concept is that an image has a pose in a scene/space. This pose captures the acquisition orientation of an image as well as how that image has been moved in space (e.g., as captured by intra-operative data). This concept is essentially the motivation behind spatialObjects. An images embedded transform would be equal to the index-to-world transform maintained as a helper member variable in spatialObjects. Image-image registration currently involves three transforms: (1) the fixed images indexToPhysicalSpace transform, (2) the transform being optimized, and (3) the moving imagess physicalSpaceToindex transform. The embedded transform within an image can combine transforms (2) and (3). For registration it is ...
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This paper deals with the identification of elasto-plastic constitutive parameters from deformation fields measured over the surface of thin flat specimens with the grid method. The approach for recov
FINRA/NASAA Series 66: Section 9 Registration Requirements. In this section initial registration, initial financial requirements - surety bonds, fees, testing and updates.
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Anyone who has tried to work through a character flaw will concede that it is very difficult. And even if there seems to be a shift today, how can I know that tomorrow wont bring back the same old demon ...
The LVA currents were obtained by subtracting theHVAtraces fromthe whole calcium records at equivalent test possibilities. order Blebbistatin Tominimize the influence of present run-down on the results, initialmeasures ofHVA and LVA currents were performed at check potentials of 0 and 40 mV, respectively, before a complete current?voltage relationship was obtained. All recent records were altered for junctional potential and pipette capacitance. Collection resistance was compensated to 800-900. Currents were blocked at 2?10 kHz and digitized at 10?40 kHz. Sometimes, current?voltage associations were recorded using an online P/ 4 subtraction technique to eradicate linear capacitative and leakage currents. All data are reported as means_standard problem of the mean. Mean values were tested for statistical significance using single factor ANOVA when appropriate with a P value of Chromoblastomycosis 0. 05. Single channel analysis Single Cav3. 1 programs were tested in the cell attached setting using ...
Background. Semi-automated segmentation using deformable registration of atlases consisting of pre-segmented patient images can facilitate the tedious task of delineating structures and organs in patients subjected to radiotherapy planning. However, a generic atlas based on a single patient may not function well enough due to the anatomical variation between patients. Fusion of segmentation proposals from multiple atlases has the potential to provide a better segmentation due to a more complete representation of the anatomical variation.. Purpose. The main goal of the study was to investigate potential operator timesaving from editing of atlas-based segmentation compared to manual segmentation for head & neck cancer.. Materials and Methods. A commercial atlas-based segmentation software (VelocityAI from Nucletron AB) was used together with several expert generated and protocol-based atlases of delineated CT images to create multiple atlas segmentations through deformable registration. The atlas ...
The use of magnetic resonance (MR) imaging in conjunction with an endorectal coil is currently the clinical standard for the diagnosis of prostate cancer. This approach has become recognized for its comparatively high sensitivity and specificity. However, imaging in this manner provides images and spectra of the prostate in the deformed state because of contact with the endorectal coil. Such deformation may lead to uncertainties in the localization of prostate cancer during therapy. In this dissertation we propose a novel 3-D elastic registration method. Unlike the traditional elastic registration methods which solve the force balance equations to achieve transformation between the source and target images, this algorithm derives the transformation by minimizing a physically motivated strain energy function. The minimization process is constrained by the matching features (i.e., contours or surfaces) in the source and target images that have been identified automatically by active ...
The development of advance techniques in the multiple fields such as image processing, data mining and machine learning are required for the early detection of Alzheimers Disease (AD) and to prevent the progression of the disease to the later stages. The longitudinal and cross sectional images of elderly subjects were obtained from the standard datasets like ADNI, OASIS, MIRIAD and ICBM. The subject image obtained from the dataset, can be geometrically aligned to the template image through the process of registration. The registration techniques like Mutual Information Registration, Fluid registration, Rigid registration, Spatial Transformation algorithm for registration, Elastic Registration are selected based on type of transformation and similarity measures to suit the required application. The registered images are then subjected to the process of segmentation in order to segment relevant tissues or desired region of interest that are significant in AD detection. The different types of segmentation
In this paper, we develop a new automated surface registration system based on surface conformal parameterization by holomorphic 1-forms, inverse consistent surface fluid registration, and multivariate tensor-based morphometry (mTBM). First, we conformally map a surface onto a planar rectangle space with holomorphic 1-forms. Second, we compute surface conformal representation by combining its local conformal factor and mean curvature and linearly scale the dynamic range of the conformal representation to form the feature image of the surface. Third, we align the feature image with a chosen template image via the fluid image registration algorithm, which has been extended into the curvilinear coordinates to adjust for the distortion introduced by surface parameterization. The inverse consistent image registration algorithm is also incorporated in the system to jointly estimate the forward and inverse transformations between the study and template images. This alignment induces a corresponding ...
TY - JOUR. T1 - Feasibility of A-mode ultrasound based intraoperative registration in computer-aided orthopedic surgery. T2 - A simulation and experimental study. AU - Niu, Kenan. AU - Homminga, Jasper. AU - Sluiter, Victor I.. AU - Sprengers, André. AU - Verdonschot, Nico. PY - 2018/6/1. Y1 - 2018/6/1. N2 - Purpose: A fast and accurate intraoperative registration method is important for Computer-Aided Orthopedic Surgery (CAOS). A-mode ultrasound (US) is able to acquire bone surface data in a non-invasive manner. To utilize A-mode US in CAOS, a suitable registration algorithm is necessary with a small number of registration points and the presence of measurement errors. Therefore, we investigated the effects of (1) the number of registration points and (2) the Ultrasound Point Localization Error (UPLE) on the overall registration accuracy. Methods: We proposed a new registration method (ICP-PS), including the Iterative Closest Points (ICP) algorithm and a Perturbation Search algorithm. This ...
Feb. 27, 2016-Andrew J. Plassard, Zhen Yang, Swati D. Rane, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman. "Improving Cerebellar Segmentation with Statistical Fusion. In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. Full Text: https://www.ncbi.nlm.nih.gov/pubmed/?term=Improving+Cerebellar+Segmentation+with+Statistical+Fusion Abstract The cerebellum is a somatotopically organized central component of the central nervous system well known.... Read more. ...
A digital subtraction angiography method useful for processing a mask and contrast series of two dimensional (2D) images acquired by rotational imaging of a selected volume of a body. The method reduces image artifacts caused by misregistration, and is unique in that for registration purposes it treats the acquired 2D images as a volume. The individual 2D images are stacked in a sequence so as to have the dimensions x, y and θ. A flexible volume registration is then performed to bring the mask and contrast volumes into a close match prior to subtraction.
2010MNRAS.408..475H: Search for variable stars in the Pleiades. in source:NAME Pleiades Ref:=2004AJ....128.1761H byHARTMAN J.D. , BAKOS G., STANEK K.Z., NOYES R.W. Astron. J., 128, 1761-1783 (2004) HATNET variability survey in the high stellar density ``Kepler field with millimagnitude image subtraction photometry. oTable 1: ,HAT 199-NNNNN, N=1617 among about 98000. Ref:=2010MNRAS.408..475H byHARTMAN J.D. , BAKOS G.A., KOVACS G., NOYES R.W. Mon. Not. R. Astron. Soc., 408, 475-489 (2010) A large sample of photometric rotation periods for FGK Pleiades stars. oTables 1-3: ,HAT FFF-NNNNNNN, N=383+120+1804. =E=Catalogue in electronic form as J/AJ/128/1761 =E=Catalogue in electronic form as ,J/MNRAS/408/475/, Originof the Acronym: A = Assigned by the author(s) ...
Isocenter Verification in Radiotherapy Clinical Practice Using Virtual Simulation: An Image Registration Approach: 10.4018/978-1-4666-8828-5.ch010: This chapter presents an overview of the procedures that are used for the verification of the patient position during radiotherapy. Furthermore, a method for
CiteSeerX - Scientific documents that cite the following paper: Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging
Treasure standard. Mezzalorns (or wasp demons as they are called by otherworlders) are demonic entities akin to the fly or stirge demons. They spend most of their time flying high above the Abyssal planes scouring the lands for food or patrolling a demon lords domain if they are in the service of such a demon. When serving under a demon lord or one of his generals, mezzalorns are often utilized as shock troops or first-assault troops in war.. Mezzalorns are thoroughly evil and despise all non-demons, attacking them on sight. Slain creatures are carried back to their lair and distributed among the inhabitants of the nest. Among demonkind they despise stirge demons with an unbridled hatred and always attack them on sight, fighting to the death when battling them. Slain stirge demons are not eaten by wasp demons (they dislike their smell, and as such dislike their taste even more), but are completely and utterly destroyed, their bodies being torn to pieces or injected with so much venom as to ...