Difference between revisions of "DBP3:UtahNewDraft"
m (→Other Projects) |
|||
Line 49: | Line 49: | ||
=== Tutorials === | === Tutorials === | ||
− | * [[Media:CARMA_Inhomogeneity_correction_filter_tutorial.pptx| | + | * [[Media:CARMA_Inhomogeneity_correction_filter_tutorial.pptx|Automatic Cardiac MRI Inhomogeneity Correction Filter Tutorial]] |
− | * [http://wiki.na-mic.org/Wiki/index.php?title=CARMA-LA-Scar_TutorialContestSummer2012 | + | * [http://wiki.na-mic.org/Wiki/index.php?title=CARMA-LA-Scar_TutorialContestSummer2012 Automatic Left Atrial Scar Tutorial] |
− | * [[Media:Carma_Registration_Tutorial.pptx| | + | * [[Media:Carma_Registration_Tutorial.pptx|Cardiac MRI Registration Tutorial]] |
− | * [[Media:Carma_Registration_Tutorial.pptx| | + | * [[Media:Carma_Registration_Tutorial.pptx|Cardiac MRI Registration Using BRAINSFit Tutorial]] |
* [[Media:CARMA_Shrink_Wrap_Filter_Tutorial.pptx|CARMA Shrink Wrap Filter Tutorial]] | * [[Media:CARMA_Shrink_Wrap_Filter_Tutorial.pptx|CARMA Shrink Wrap Filter Tutorial]] | ||
Revision as of 17:21, 21 November 2012
Home < DBP3:UtahNewDraftBack to NA-MIC DBPs | NA-MIC Cores
Contents
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: Atrial Fibrillation.
DBP Specific Aims
- Develop and validate image-based longitudinal diagnostic indices for AF
- Develop automatic segmentation methods for the atrium and adjacent structures
- Develop an AF scoring scheme to evaluate disease progression and recovery from therapy
Activities
Slicer Modules
- Automatic MRI Inhomogeneity Correction Filter
- Automatic Left Atrial (Post-ablation) Scar Detection
- Cardiac MRI Registration
- Cardiac MRI Registration Using BRAINSFit
- Shrink Wrap Filter
Tutorials
- Automatic Cardiac MRI Inhomogeneity Correction Filter Tutorial
- Automatic Left Atrial Scar Tutorial
- Cardiac MRI Registration Tutorial
- Cardiac MRI Registration Using BRAINSFit Tutorial
- CARMA Shrink Wrap Filter Tutorial
Other Projects
- Image registration capabilities for longitudinal analysis: Registration & Segmentation pipeline pilots & workflow development (Dominik Meier, Alex Zaitsev)
- Evaluation of BRAINSFit and Fiducial-based registration tools for LA wall alignment and longitudinal registration of PV: BRAINSFit Registration of PVs
- Collaboration with GA Tech -
- Test and Evaluate Behnood's wall segmentation - results and analysis are here: Automatic Wall Segmentation
- Test and Evaluate Yi Gao's atlas-based endocardial segmentation algorithm: Automatic Endocardial Segmentation
- Test and Evaluate Yi Gao's image and segmentation-driven registration algorithm: Image and Segmentation-Driven Registration
Sample Data
- Sixty anonymized datasets containing LGE-MRI image data and segmentations of the left atrium from patients with atrial fibrillation: Pre and Post Radiofrequency Ablation LGE-MRI Collection
- Two Subjects Two Time Points: Data is File:CardiacMRIs.zip