Difference between revisions of "NA"

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m (Update from Wiki)
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'''Objective:'''
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== Shape Correspondence Based on Local Curvature ==
  
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Our goal in 3D Slicer Engineering for Image Guided Therapy (IGT) is adapt the 3D Slicer to IGT and explore the added value and clinical impact only available by integrating state-of-art medical image in IGT and developing new IGT-Slicer.
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=== Description ===
  
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<br />'''Progress:'''
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We are working on a correspondence method based on local curvature. This is a population based method (a la MDL or DetCov) that optimizes correspondence for a population, rather than pair-based. Currently we use the Koenderink measure C and S as our correspondence metric. However, the code is structured in such a way to enable very easy modification of the metric.
  
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* We have transferred IGT-specific features from the previous IGT-Slicer (version 1.x) to new IGT-Slicer (based on Slicer version 2.6 but tailored to IGT). The old IGT-Slicer had been maintained separately from the core Slicer activities and tested in MRI-guided therapies. We tried to bring the advanced medical image processing algorithms available only in Slicer 2.6 to IGT-Slicer and performed feasibility studies to explore the clinical significance of them in the context of IGT.
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=== Current Status & Plans for Project Week ===
  
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* We have added MR thermometry module for MRI-guided ablation therapies such as interstitial laser therapy and focused ultrasound therapy.
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There still is plenty of room for improvements, but the code is working right now. We have tried it in a very small dataset for debugging, and the optimization seems to properly converge.
  
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* From the execution model or KWWidgets, we probably need the following support:
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We also tried on the caudate dataset, and it seemed to work properly, although we dont yet have a visualization method in place. This is one of the things we want to accomplish at Project Week: coming up with a nice visualization of the correspondence results with the KWMeshVisu tool that we developed at the previous programming week.
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** Multiple input volumes and multiple output volumes at execution time
 
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** Timer
 
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** If possible, tabbed interface layout for vtkFMRIEngine module which has a long GUI
 
  
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* GUI screen shots from fMRIEngine module (Slicer2.6)
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We are also in contact with Tobias Heimann who is the original author of a large part of the ITK classes we are using, and we plan to make a combined submission with him to MICCAI open source workshop. The paper is also one of the major things that we want to work on during the week.
  
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[[Image:FMRIEngine-sequence-load.jpg|[[Image:FMRIEngine-sequence-load.jpg|Image:FMRIEngine-sequence-load.jpg]]]], [[Image:FMRIEngine-sequence-select.jpg|[[Image:FMRIEngine-sequence-select.jpg|Image:FMRIEngine-sequence-select.jpg]]]], [[Image:FMRIEngine-setup-paradigm.jpg|[[Image:FMRIEngine-setup-paradigm.jpg|Image:FMRIEngine-setup-paradigm.jpg]]]], [[Image:FMRIEngine-setup-modeling.jpg|[[Image:FMRIEngine-setup-modeling.jpg|Image:FMRIEngine-setup-modeling.jpg]]]], [[Image:FMRIEngine-setup-estimation.jpg|[[Image:FMRIEngine-setup-estimation.jpg|Image:FMRIEngine-setup-estimation.jpg]]]], [[Image:FMRIEngine-setup-contrasts.jpg|[[Image:FMRIEngine-setup-contrasts.jpg|Image:FMRIEngine-setup-contrasts.jpg]]]], [[Image:FMRIEngine-roi-regionmap.jpg|[[Image:FMRIEngine-roi-regionmap.jpg|Image:FMRIEngine-roi-regionmap.jpg]]]], [[Image:FMRIEngine-roi-stats.jpg|[[Image:FMRIEngine-roi-stats.jpg|Image:FMRIEngine-roi-stats.jpg]]]], [[Image:FMRIEngine-view-choose.jpg|[[Image:FMRIEngine-view-choose.jpg|Image:FMRIEngine-view-choose.jpg]]]], [[Image:FMRIEngine-view-threshold.jpg|[[Image:FMRIEngine-view-threshold.jpg|Image:FMRIEngine-view-threshold.jpg]]]], [[Image:FMRIEngine-view-plot.jpg|[[Image:FMRIEngine-view-plot.jpg|Image:FMRIEngine-view-plot.jpg]]]]
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=== Members ===
  
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'''Key Investigators:'''
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* Ipek Oguz (UNC)
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* Martin Styner (UNC)
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* BWH: Noby Hata, Haiying Liu,
 
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* Isomics: Steve Pieper
 
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* GE Research: Jim Miller
 

Revision as of 13:28, 18 December 2006

Home < NA

Shape Correspondence Based on Local Curvature

Description

We are working on a correspondence method based on local curvature. This is a population based method (a la MDL or DetCov) that optimizes correspondence for a population, rather than pair-based. Currently we use the Koenderink measure C and S as our correspondence metric. However, the code is structured in such a way to enable very easy modification of the metric.

Current Status & Plans for Project Week

There still is plenty of room for improvements, but the code is working right now. We have tried it in a very small dataset for debugging, and the optimization seems to properly converge.

We also tried on the caudate dataset, and it seemed to work properly, although we dont yet have a visualization method in place. This is one of the things we want to accomplish at Project Week: coming up with a nice visualization of the correspondence results with the KWMeshVisu tool that we developed at the previous programming week.

We are also in contact with Tobias Heimann who is the original author of a large part of the ITK classes we are using, and we plan to make a combined submission with him to MICCAI open source workshop. The paper is also one of the major things that we want to work on during the week.

Members

  • Ipek Oguz (UNC)
  • Martin Styner (UNC)
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