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4D-PARSeR Pathological Anatomy Regression via Segmentation and Registration (RRID:SCR_002480)Copy Citation Copied
URL: http://www.nitrc.org/projects/parser_4d/
Proper Citation: 4D-PARSeR Pathological Anatomy Regression via Segmentation and Registration (RRID:SCR_002480)
Description: A tool for analyzing 4D images with pathology. Originally developed for processing longitudinal images of patients with traumatic brain injury, the tool contains new image analysis algorithms that combine registration and segmentation in a coherent framework, accounting for extreme changes due to extensive tissue damage.
Abbreviations: 4D-PARSeR
Synonyms: 4D-PARSeR (Pathological Anatomy Regression via Segmentation and Registration), 4D-Pathological Anatomy Regression via Segmentation and Registration
Resource Type: data processing software, image analysis software, registration software, segmentation software, software application, software resource
Keywords: magnetic resonance, registration, segmentation
Related Condition: Traumatic brain injury
Availability: Free, Freely avaialble
Resource Name: 4D-PARSeR Pathological Anatomy Regression via Segmentation and Registration
Resource ID: SCR_002480
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The data sets included in this resource are published in Kravitz et al, 2012. Distinct roles for direct and indirect pathway striatal neurons in reinforcement (Nat. Neurosci).
