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*  Magnetic particle imaging
In vivo multimodal magnetic particle imaging (MPI) with tailored magneto/optical contrast agents. Arami H, Khandhar AP, ... This provides images without background. MPI is often used in combination with anatomical imaging techniques (such as CT or MRI ... IEEE Trans Med Imaging. 2013 Sep;32(9):1565-75. doi: 10.1109/TMI.2013.2257177. Magnetic particle imaging (MPI) for NMR and MRI ... Magnetic particle imaging combines high tracer sensitivity with submillimeter resolution. Imaging is performed in a range of ...
*  NIH Toolbox
Multimodal imaging of the self-regulating developing brain. Proc Natl Acad Sci. 2012;109(48):19620-19625. Gershon RC, Cella D, ...
*  Upconverting nanoparticles
Multimodal imaging agents combine multiple modes of signal reporting. UCNPs with Gd3+ or Fe2O3 can serve as luminescent probes ... serving as a photoluminescence label to selectively image cells.3 UCNPs have also been used in functional imaging, such as the ... UCNPs enable multiplexed imaging by dopant modulation, shifting emission peaks to wavelengths that can be resolved. Single-band ... The barcodes are seen under NIR illumination and can be imaged using an iPhone camera and a 20X microscope objective. ...
*  Porichthys notatus
"Multimodal imaging of the sonic organ of Porichthys notatus, the singing midshipman fish". Magnetic Resonance Imaging. 24 (3): ...
*  Cadmium-free quantum dot
Thus, multimodal imaging can be achieved with the multifunctional nanotags based on Cd-free QDs. Another useful application is ... For example, various techniques are used for the Cd-free QDs imaging including confocal/multiphoton microscopy, CARS imaging. ... targeted multimodal optical imaging with versatile cadmium‐free quantum dots". Advanced Functional Materials. 26: 267-276. doi: ... This image can last long enough to release cancer drugs before breaking down into harmless by-products. Silicon wafers were ...
*  Electroactive polymers
Current fields of research and application are chemical sensor systems, microfluidics and multimodal imaging systems. ... These monolithic devices consist of an array of thousands of multimodal modulators (actuator pixels) based on stimuli- ...
*  Anders Dale
He is the founding Director of the Center for Multimodal Imaging Genetics (CMIG) at UCSD. Dale founded and initially developed ... "Multimodal imaging of repetition priming: Using fMRI, MEG, and intracranial EEG to reveal spatiotemporal profiles of word ... and is the founding Co-Director of UCSD's Multi-Modal Imaging Laboratory (MMIL), which the university's website describes as " ... That was what brought me to imaging. My goal was to see what kind of things we can measure non-invasively that can be ...
*  BisQue (Bioimage Analysis and Management Platform)
BisQue specifically supports large scale, multi-dimensional multimodal-images and image analysis. Metadata is stored as ... imaging, experimental annotation, repeated analysis and presentation of images and results. Image and metadata ingestion is the ... and attaches them to the image as tags. Images and metadata are organized with tags (name-value pairs) associated with an image ... specifically in the context of microscopy images. Given the diversity of imaging equipment and image formats, there was an ...
*  Orthognathic surgery
December 2006). "A novel method for the 3-dimensional simulation of orthognathic surgery by using a multimodal image-fusion ...
*  Cognition Network Technology
A Novel Multimodal Image Analysis Technique for Automatic Identification and Quantification of Biological Image Contents": 407- ... The derived image analysis solution is then automatically applied to subsequent digital images in order to objectively measure ... It serves for extracting information from images using a hierarchy of image objects (groups of pixels), as opposed to ... Image processing and data analysis are performed either on a local desktop computer workstation, or on a server grid. The ...
*  Microperimetry
Midena, Edoardo (2013-12-12). Microperimetry and Multimodal Retinal Imaging. Springer Science & Business Media. ISBN ... To create the fundus image an infrared telecamera is used, as in the case of the "Nidek-MP1", or a Scanning Laser ... is imaged in real time, while an eye tracker compensates eye movements during stimuli projection, allowing correct matching ...
*  Myxoma
May 2016). "Multimodal Cardiovascular Imaging of Cardiac Tumors". Annals of Nuclear Cardiology. 2 (1): 61-67. doi:10.17996/anc. ... Cardiac magnetic resonance imaging (MRI) can help non-invasively diagnose cardiac tumors. However, diagnosis usually requires ...
*  Positron emission tomography-magnetic resonance imaging
"Multimodal Imaging Approaches: PET/CT and PET/MRI". In Semmler, Wolfhard; Schwaiger, Markus. Molecular Imaging I. Handbook of ... is a hybrid imaging technology that incorporates magnetic resonance imaging (MRI) soft tissue morphological imaging and ... There is no correlation between MR image intensity and electron intensity, therefore conversion of MR images into an ... Currently, the combination of positron emission tomography (PET) and magnetic resonance imaging (MRI) as a hybrid imaging ...
*  Computer-assisted interventions
Design of a neurosurgical gestures model for multimodal image guided surgery. Computer Assisted Radiology and Surgery. 2001; ... Examples include: Medical robotics Surgical and interventional navigation Imaging and image processing methods for CAI Clinical ... specific imaging systems, and new imaging applications. International Conference on Information Processing in Computer-Assisted ... Med Image Anal. 2010; 16(3): 632-41. Maruster L, van der Aalst W, Weijters T, van den Bosch A, Daelemans W. Automatic discovery ...
*  Functional integration (neurobiology)
Main article: Multimodal imaging Multimodal imaging frequently consists of the coupling of an electrophysiologic measurement ... To do so, one must first register all images to a standard coordinate system, by mapping them to a reference image. This is ... Main article: Functional magnetic resonance imaging Functional magnetic resonance imaging (fMRI) is a form of MRI that is most ... Main article: Neuroimaging A study's choice of imaging modality depends on the desired spatial and temporal resolution. fMRI ...
*  Steven Laureys
... expertise and bedside behavioral evaluation of altered states of consciousness with state-of-the-art multimodal imaging ... and of neuronal plasticity in severely brain damaged patients with altered states of consciousness by means of multimodal ... combining the information from positron emission tomography (PET), functional magnetic resonance imaging (fMRI), structural MRI ...
*  School of Medical Science and Technology
Lab Epidemiology and Public Health Lab Herbal Medicine lab Medical Instrumentation and Embedded Systems Lab Multimodal Imaging ... The students are exposed to all kinds of imaging modalities - microscopic and macroscopic - and will work on advanced image ... Image analysis and processing (related to medical imaging modalities), Genetics, Tissue engineering, Drug discovery, Pattern ... Image processing, Biostatistics, MEMS, pattern recognition and machine intelligence, computer vision and advanced image ...
*  History of neuroimaging
Multimodal imaging combines existing brain imaging techniques in synergistic ways which facilitate the improved interpretation ... At first, structural imaging benefited more than functional imaging from the introduction of MRI. During the 1980s a veritable ... imaging. H20-15 emits positrons and creates images based on regional blood flow within the brain. Since active neurons recruit ... Single neuron imaging (SNI) uses a combination of genetic engineering and optical imaging techniques to insert tiny electrodes ...
*  Medical image computing
Multi-modal registration requires a more sophisticated similarity measure; alternatively, a different image representation can ... Typically, one image is treated as the target image and the other is treated as a source image; the source image is transformed ... The resulting images cannot be treated as regular scalar images and give rise to new sub-areas of Medical Image Computing. ... Image registration is a process that searches for the correct alignment of images. In the simplest case, two images are aligned ...
*  Human skin
Nanoparticles along with multi-modal imaging techniques have been used as a way to diagnose cancer non-invasively. Skin with ... Gao, X.; Cui, Y.; Levenson, R.; Chung, L.; Nie, S. (2005). "In vivo cancer targeting and imaging with semiconductor quantum ... May 2003). "Real-Time Vital Optical Imaging of Precancer Using Anti-Epidermal Growth Factor Receptor Antibodies Conjugated to ...
*  UK Biobank
Miller, K.L. (2016). "Multimodal population brain imaging in the UK Biobank prospective epidemiological study". Nature ... Alfaro Almagro, F. (25 April 2017). "Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK ... Alfaro-Almagro, F. (2016). "Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank". ... A new type of assessment centre opened in 2014 to collect imaging data. The visits extended the initial dataset to include ...
*  MeVisLab
Concepts for Efficient and Reliable Multi-Modal Breast Image Reading; International Workshop on Digital Mammography (IWDM 2010 ... MeVisLab features include: Image processing with the MeVis Image Processing Library (ML): The ML is a request-driven, page- ... It allowed to interactively connect algorithms of the Image Vision Library (IL) on Silicon Graphics (SGI) to form image ... In: Proceedings of SPIE - Volume 6141 Medical Imaging 2006 Image Processing. Bellingham: SPIE, 2006: in press VTK Module ...
*  Balo concentric sclerosis
Lindquist S (2007). "Histopathology and serial, multimodal magnetic resonance imaging in a multiple sclerosis variant". Mult ... Baló's concentric sclerosis: imaging findings and pathological correlation, J Radiol Case Rep. 2013 Jun 1;7(6):1-8. doi:10.3941 ... Myelin water imaging of multiple sclerosis at 7 T: Correlations with histopathology, NeuroImage Volume 40, Issue 4, 1 May 2008 ... Multiple sclerosis lesion formation and early evolution revisited: A weekly high-resolution magnetic resonance imaging study, ...
*  Bruce J. Tromberg
... through the continuous development of advanced technologies in diffuse optical spectroscopy and multi-modal imaging." He ... "NIBIB-funded team develops a new way to image fat metabolism". National Institute of Biomedical Imaging and Bioengineering. ... including diffuse optical spectroscopic imaging (DOSI); spatial frequency domain imaging (SFDI); and a type of optical ... He is a co-leader of the Onco-imaging and Biotechnology Program of the NCI Chao Family Comprehensive Cancer Center at Irvine. ...
*  Affect (rhetoric)
Murray, J. (2009). Nondiscursive rhetoric: Image and affect in multimodal composition. Ithaca, NY, USA: State University of New ... In 2016, Brunner and Deluca proposed the term affective winds to describe "the force of images that moves people to engage and ... Brunner, E., & Deluca, K. (2016). The argumentative force of image networks: Greenpeace's panmediated global detox campaign. ... Brunner, E., & Deluca, K. (2016). The argumentative force of image networks: Greenpeace's panmediated global detox campaign. ...
*  Posterior cruciate ligament
Fernandez and Pugh(2012) found that following a PCL grade II diagnosis, a multimodal treatment that spanned the course of 8 ... Magnetic resonance imaging evaluation demonstrating normal signal of both anterior and posterior cruciate ligaments (arrows). ... Fernandez, Matthew; Pugh, David (2012). "Multimodal and interdisciplinary management of an isolated partial tear of the ...
*  Dextroscope
The Virtual Patient is composed of computer-generated 3D multi-modal images obtained from any DICOM tomographic data including ... The rapid growth in multi-modal diagnostic imaging data routinely available has increased their workload tremendously. Using ... In one hand the user holds an ergonomically shaped handle with a switch that, when pressed, allows the 3D image to be moved ... The Dextroscope provides an extensive set of virtual tools that can be used to manipulate the 3D image. For example, there are ...