Difference between revisions of "2013 Project Week:BRAINSFit new features"
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<h3>Progress</h3> | <h3>Progress</h3> | ||
− | + | * all features that we intended to integrate were implemented and merged with the BRAINS main repository (https://github.com/BRAINSia/BRAINSStandAlone/pull/160) | |
+ | ** in the process, several minor bugs were resolved | ||
+ | * test added and is passing on BRAINS dashboard | ||
+ | * Note: BRAINS is using ITK3 registration framework implemented in ITK4; it is currently not possible to evaluate the new registration framework of ITK4 with BRAINS | ||
+ | * Testing on 10 clinical datasets was performed using BRAINS+ITK4 | ||
+ | ** computation time is comparable with our in-house BRAINS implementation + ITK3 | ||
+ | ** registration was successful in 8 out of 10 cases, based on visual inspection; further investigation is needed for the failed cases and larger scale validation | ||
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Revision as of 23:13, 10 January 2013
Home < 2013 Project Week:BRAINSFit new featuresKey Investigators
- BWH: Andrey Fedorov
- Iowa: Hans Johnson
Project Description
Objective
- integrate, test and document new capabilities, which proved to be very helpful for prostate MRI registration, into BRAINSFit registration module
Approach, Plan
- specific features include:
- initializer based on the center of mask for the registration ROIs
- initialization of the B-spline transform support region restricted to the bounding box of the ROIs union
- ability to perform registration with only fixed ROI available
These features have been implemented earlier in a fork of ITK3-based BRAINSFit. We would like to merge these modifications with the main repository of BRAINS and test the capabilities with ITK4 on prostate MRI datasets.
Progress
- all features that we intended to integrate were implemented and merged with the BRAINS main repository (https://github.com/BRAINSia/BRAINSStandAlone/pull/160)
- in the process, several minor bugs were resolved
- test added and is passing on BRAINS dashboard
- Note: BRAINS is using ITK3 registration framework implemented in ITK4; it is currently not possible to evaluate the new registration framework of ITK4 with BRAINS
- Testing on 10 clinical datasets was performed using BRAINS+ITK4
- computation time is comparable with our in-house BRAINS implementation + ITK3
- registration was successful in 8 out of 10 cases, based on visual inspection; further investigation is needed for the failed cases and larger scale validation