Difference between revisions of "2012 Summer Project Week:Interactive Needle Segmentation"
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− | + | __NOTOC__ | |
+ | <gallery> | ||
+ | |||
+ | |||
+ | Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]] | ||
+ | Image:gyn-needle-segmentation-1.png | Screenshot of Manual Needle Segmentation (20 minutes) | ||
+ | Image:Needle-TractographyFiducialSeeding.png | Screenshot of Single Needle Modeled With Tractography Fiducial Seeding Module | ||
+ | Image:Needle-TractographyFiducialSeeding2.png | Screenshot of Multiple Needles Modeled With Tractography Fiducial Seeding Module (Hessian Image Visible) | ||
+ | </gallery> | ||
+ | |||
+ | ==Key Investigators== | ||
+ | *Rutgers: Nabgha Farhat | ||
+ | *BWH: Yi Gao, Xiaojun Chen, Neha Agrawal, Nabgha Farhat, Jan Egger, Tina Kapur, Akila Viswanathan | ||
+ | *Isomics: Steve Pieper | ||
+ | |||
+ | <div style="margin: 20px;"> | ||
+ | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
+ | |||
+ | <h3>Objective</h3> | ||
+ | The goal of this project is to achieve fast (< 2 minute) interactive segmentation of 5-10 needles from MRI images using Slicer. | ||
+ | |||
+ | |||
+ | </div> | ||
+ | |||
+ | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
+ | |||
+ | <h3>Approach, Plan</h3> | ||
+ | |||
+ | We will explore different segmentation/editing tools in Slicer to determine which ones can most efficiently segment 2mm needles (10-15 cm long), from MRI scans in which voxels are about 2mm in each dimension. (These needles are not straight lines, and are often placed within a few mm of each other.) | ||
+ | |||
+ | </div> | ||
+ | |||
+ | <div style="width: 40%; float: left;"> | ||
+ | |||
+ | <h3>Progress</h3> | ||
+ | |||
+ | Needles were effectively modeled from pelvic MR scans using the Tractography Fiducial Seeding module: | ||
+ | *Hessian images were generated from the MR scans | ||
+ | *Fiducials were placed in regions known to be part of a needle | ||
+ | *The Tractography Fiducial Seeding module was used to generate “tracts” that pass through the fiducial – in this case, the needles | ||
+ | Refinements need to be made to optimize the modeling for brachytherapy needles rather than fiber bundles: | ||
+ | *A sense of “momentum” is needed, so that needles do not abruptly end or change direction in signal voids | ||
+ | *Eventually, we would like the whole workflow to take place in Slicer, including the generation of the hessian image | ||
+ | |||
+ | |||
+ | |||
+ | </div> | ||
+ | </div> | ||
+ | |||
+ | <div style="width: 97%; float: left;"> | ||
+ | |||
+ | ==Delivery Mechanism== | ||
+ | |||
+ | N/A | ||
+ | |||
+ | ==References== | ||
+ | |||
+ | |||
+ | </div> |
Latest revision as of 02:20, 26 June 2012
Home < 2012 Summer Project Week:Interactive Needle SegmentationKey Investigators
- Rutgers: Nabgha Farhat
- BWH: Yi Gao, Xiaojun Chen, Neha Agrawal, Nabgha Farhat, Jan Egger, Tina Kapur, Akila Viswanathan
- Isomics: Steve Pieper
Objective
The goal of this project is to achieve fast (< 2 minute) interactive segmentation of 5-10 needles from MRI images using Slicer.
Approach, Plan
We will explore different segmentation/editing tools in Slicer to determine which ones can most efficiently segment 2mm needles (10-15 cm long), from MRI scans in which voxels are about 2mm in each dimension. (These needles are not straight lines, and are often placed within a few mm of each other.)
Progress
Needles were effectively modeled from pelvic MR scans using the Tractography Fiducial Seeding module:
- Hessian images were generated from the MR scans
- Fiducials were placed in regions known to be part of a needle
- The Tractography Fiducial Seeding module was used to generate “tracts” that pass through the fiducial – in this case, the needles
Refinements need to be made to optimize the modeling for brachytherapy needles rather than fiber bundles:
- A sense of “momentum” is needed, so that needles do not abruptly end or change direction in signal voids
- Eventually, we would like the whole workflow to take place in Slicer, including the generation of the hessian image
Delivery Mechanism
N/A