Difference between revisions of "DBP3:Utah"

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** Test and Evaluate Yi Gao's atlas-based endocardial segmentation algorithm: [[DBP3:Utah:AutoEndoSeg|Automatic Endocardial Segmentation]]
 
** Test and Evaluate Yi Gao's atlas-based endocardial segmentation algorithm: [[DBP3:Utah:AutoEndoSeg|Automatic Endocardial Segmentation]]
 
** Test and Evaluate Yi Gao's image and segmentation-driven registration algorithm: [[DBP3:Utah:VecReg|Image and Segmentation-Driven Registration]]
 
** Test and Evaluate Yi Gao's image and segmentation-driven registration algorithm: [[DBP3:Utah:VecReg|Image and Segmentation-Driven Registration]]
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=== Slicer4 Needs and Plans ===
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Summary of the Slicer4 needs to support CARMA workflows can be found [[DBP3:Utah:Slicer4 | here]].
  
 
==Sample Data==
 
==Sample Data==

Revision as of 15:36, 14 January 2013

Home < DBP3:Utah
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The CARMA DBP: MRI-based study and treatment of atrial fibrillation

Tissue remodeling of the atrial wall is the hallmark of Atrial Fibrillation (AF), a progressive cardiac disease that develops over time (months to years). The mechanisms of of this transformation are only partially understood, but the current scientific focus on tissue remodeling and its putative role in AF suggests an MRI image-based approach to the study of AF.

The Comprehensive Arrhythmia Research and MAnagement (CARMA) Center at the University of Utah is a world leader in the rapidly emerging field of MRI-managed evaluation and ablation of AF. Other groups have begun to recognize the potential of this approach and to investigate and validate some of our findings. Still others are developing new refinements of the MRI technique driven by the specific needs of this application domain.

Preliminary investigation by CARMA has identified image processing and analysis as the rate-limiting step to the development of MRI-based therapies. Novel forms of MRI can be used to evaluate new patients, predict success before ablation, analyze outcomes post-ablation, and guide repeat ablations. Such MRI-based therapies, however, urgently require advanced tools and software to support efficient workflows and accelerate the quantification and analysis of images. The CARMA-NAMIC DBP project will address some of these needs with the development of algorithms and tools for the automated segmentation of heart structures and the MRI-based evaluation of AF progression and recovery.

This remainder of this wiki page describes ongoing CARMA-NAMIC activities and specific plans. For more background information, references, and description of the specific scientific and clinical aims of this project, please see the project web page: http://www.na-mic.org/pages/DBP:Atrial_Fibrillation .


DBP Specific Aims

  1. Develop and validate image-based longitudinal diagnostic indices for AF
  2. Develop automatic segmentation methods for the atrium and adjacent structures
  3. Develop an AF scoring scheme to evaluate disease progression and recovery from therapy


The CARMA Center's Utah classification for Atrial Fibrillation staging involves segmentation of the left atrial wall from MRI, followed by quantification of enhanced vs. non-enhanced voxels in the wall.

Activities

Slicer Modules

Tutorials

Other Projects

Slicer4 Needs and Plans

Summary of the Slicer4 needs to support CARMA workflows can be found here.

Sample Data