Difference between revisions of "NeedleFinder"
From NAMIC Wiki
| Line 47: | Line 47: | ||
* [http://www.ncbi.nlm.nih.gov/pubmed/24505784 Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy. Med Image Comput Comput Assist Interv. 2013;16(Pt 3):380-7.] | * [http://www.ncbi.nlm.nih.gov/pubmed/24505784 Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy. Med Image Comput Comput Assist Interv. 2013;16(Pt 3):380-7.] | ||
| − | |||
* [https://docs.google.com/document/d/1Xvi6BYiiSiNlqoVQgRTWy6KiB7CqUEmH2EWFt4cuBQc/edit?usp=sharing Needle Finder 2013 User Guide] | * [https://docs.google.com/document/d/1Xvi6BYiiSiNlqoVQgRTWy6KiB7CqUEmH2EWFt4cuBQc/edit?usp=sharing Needle Finder 2013 User Guide] | ||
* [https://www.wuala.com/mastmeyer/Share/AMIGO/NeedleFinder2013.mp4/?key=pxJNGGE3bTRh Needle Finder 2013 Video] | * [https://www.wuala.com/mastmeyer/Share/AMIGO/NeedleFinder2013.mp4/?key=pxJNGGE3bTRh Needle Finder 2013 Video] | ||
| + | * [http://wiki.slicer.org/slicerWiki/index.php/Documentation/Nightly/Extensions/NeedleFinder Needle Finder extension documentation] | ||
Revision as of 21:36, 19 December 2014
Home < NeedleFinder
Key Investigators
Andre Mastmeyer, Guillaume Pernelle, Yang Gao, Tina Kapur, Steve Pieper, Ron Kikinis
Project Description
Objective
- Improve performance and usability of NeedleFinder, see Needle Finder 2013 Video
- Code profiling, refactoring
- GUI and interaction simplification
- Provide Bounding Box/Region of Interest for better visualization and constrain search space for algorithms
- Semi-Automatic needle tip (and body) detection
- Parameter optimization
Approach, Plan
- Improvements of the source code quality, algorithms and GUI (usability):
- Ad-hoc python profiling concept (method tagging, logging and message boxes as code probes)
- Improved standardized and guided workflow more usable by MDs (state machine)
- Interaction protocol using existing tools for MD to provide bounding-box quickly
- Incorporate SimpleITK filtering/preprocessing and a little user interaction (try e.g. derivatives: gradient magnitude, vesselness)
- Look into machine learning (implement simple genetic algorithm & compare to brute-force grid search)
Progress
- Overall: N/Y
- N/Y
- N/Y
- N/Y
- N/Y
- N/Y
