Search results
Results from the WOW.Com Content Network
Neuroimaging software is used to study the structure and function of the brain. To see an NIH Blueprint for Neuroscience Research funded clearinghouse of many of these software applications, as well as hardware, etc. go to the NITRC web site. 3D Slicer Extensible, free open source multi-purpose software for visualization and analysis.
MRI, fMRI, MEG data for ~700 population-derived healthy adults aged 18–88 Human Macroscopic Images, Descriptive, Numerical Healthy No [18] The Cancer Imaging Archive MRI, CT, and PET imaging of cancer patients with supporting clinical data (in many cases) Human Macroscopic Images, Descriptive, Numerical Cancer No [19]
The FMRIB Software Library, abbreviated FSL, is a software library containing image analysis and statistical tools for functional, structural and diffusion MRI brain imaging data. FSL is available as both precompiled binaries and source code for Apple and PC computers. It is freely available for non-commercial use.
The software was designed with the audience of clinical and basic science researchers in mind, and emphasis has been placed on having a user-friendly interface and maintaining a limited feature set to prevent feature creep. ITK-SNAP is most frequently used to work with magnetic resonance imaging (MRI), cone-beam computed tomography (CBCT) and ...
While smoothing can increase the signal-to-noise ratio of the image, it reduces image resolution. [12] [13] Mask: Removes any non-brain areas, such as skull, from the fMRI image. Scale: Scale each voxel so that changes in intensity represent percentage of signal change over the course of the scan. The default sets the mean of each voxel equal ...
Medical imaging strategies. (a) CT scan of the head. (b) MRI machine. (c) PET scans produce images of active blood flow and physiological activity in the targeted organ or organs. (d) Ultrasound technology to monitor pregnancy. Medical imaging is a range of imaging techniques and technologies that enables clinicians to visualize the internal ...
Medical image segmentation is made difficult by low contrast, noise, and other imaging ambiguities. Although there are many computer vision techniques for image segmentation, some have been adapted specifically for medical image computing. Below is a sampling of techniques within this field; the implementation relies on the expertise that ...
Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment ...