NIH-CIDI Segmentation of PET Images based on Affinity Propagation Clustering (RRID:SCR_014151)Copy Citation Copied
URL: http://www.nitrc.org/projects/ap_seg_2013_nih/
Proper Citation: NIH-CIDI Segmentation of PET Images based on Affinity Propagation Clustering (RRID:SCR_014151)
Description: A MATLAB GUI for segmenting and quantifying PET images with multi-focal and diffuse uptakes. It imports a PET image and allows the user to draw region of interests (ROIs) in 2D or 3D to roughly separate the object of interest from the background. The areas are then segmented using a PET image segmentation method based on Affinity Propagation clustering to cluster the image intensities into meaningful groups. For quantification, the Standardized Uptake Value measurements of the binary or the user defined ROI are SUVmax, SUVmean, and Volume (mm^3) and can be exported into an excel sheet.
Resource Type: data processing software, image analysis software, segmentation software, software application, software resource
Keywords: matlab gui, pet image, region of interest, 2d, 3d, segmentation, affinity propagation clustering
Funding: Howard Hughes Medical Institute ; Center for Infectious Disease Imaging ; NIAID Intramural research program ; NIBIB ; NIH Directors New Innovator Award OD006492; NIAD R01AI079590; NIAID R01A1035272
Availability: Available to the research community
Resource Name: NIH-CIDI Segmentation of PET Images based on Affinity Propagation Clustering
Resource ID: SCR_014151
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Source: SciCrunch Registry (RRID:SCR_005400)
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URL: https://rrid.site/rin/sources/SCR_005400