Difference between revisions of "Project Week 25/Wrist Kinematics:"

From NAMIC Wiki
Jump to: navigation, search
Line 14: Line 14:
 
|- style="vertical-align:top;"
 
|- style="vertical-align:top;"
 
|<!-- Objective bullet points -->
 
|<!-- Objective bullet points -->
The goal of this project is to analyze wrist kinematics from a dynamic MRI sequence. Challenges include segmentation of wrist bones from relatively low resolution MRI with anisotropic voxels, and joint spatiotemporal modeling of extracted bones as a multi-object complex.  
+
* The clinical goal of this project is the use of dynamic MRI (instead of static series of 3D CT done so far) to explore 3D carpal dynamics to detect kinematic wrist abnormalities in diagnosis/staging/management, to study carpal motion in health/disease, and to evaluate results after surgery
 +
* Collaborators:  Catherine N. Petchprapa, MD, NYU Langone Musculoskeletal Imaging & Radiology, and Riccardo Lattanzi, NYU Langone Radiology.
 +
* Challenges for image analysis include segmentation of wrist bones from a longitudinal series of relatively low resolution MRI with anisotropic voxels, consistent segmentation of individual bones across the time series, and joint spatiotemporal modeling of extracted bones as a multi-object complex.  
  
 
|<!-- Approach and Plan bullet points -->
 
|<!-- Approach and Plan bullet points -->

Revision as of 09:48, 30 June 2017

Home < Project Week 25 < Wrist Kinematics:

Back to Projects List

Key Investigators

Project Description

Objective Approach and Plan Progress and Next Steps
  • The clinical goal of this project is the use of dynamic MRI (instead of static series of 3D CT done so far) to explore 3D carpal dynamics to detect kinematic wrist abnormalities in diagnosis/staging/management, to study carpal motion in health/disease, and to evaluate results after surgery
  • Collaborators: Catherine N. Petchprapa, MD, NYU Langone Musculoskeletal Imaging & Radiology, and Riccardo Lattanzi, NYU Langone Radiology.
  • Challenges for image analysis include segmentation of wrist bones from a longitudinal series of relatively low resolution MRI with anisotropic voxels, consistent segmentation of individual bones across the time series, and joint spatiotemporal modeling of extracted bones as a multi-object complex.
    • 3D segmentation of individual bones was solved via level-set segmentation within itkSNAP. Preliminary tests with Slicer GrowCut were not satisfactory due to highly non-isotropic voxels, but more tests will be necessary to explore new advanced features within "Segment Editor".

Illustrations

Wrist multivolume.gif Wrist volume rendering small.gif


Wrist template seg.png


wrist_quick.gif wrist_velocity_vectors.gif

Background and References