Motion Analysis and Assessment of Cardiac Function for Cardiac Images
Study Details
Study Description
Brief Summary
The study develops software for motion analysis and assessment of cardiac function for cardiac images. Cardiac catheterization ventriculography of several randomly selected patients were taken from our hospital's PACS system. The investigators remove the patient information on the images, and use the image for motion analysis and assessment.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
The study develops software for motion analysis and assessment of cardiac function for cardiac images. Twenty patients who have both cardiac catheterization ventriculography and cardiac echo studies will be randomly selected. Cardiac catheterization ventriculography of the selected patients were taken from our hospital's PACS system. The investigators remove the patient information on the images, and use the image for motion analysis and assessment. The results will be compared and correlated with their cardiac echo, which could validate the clinical usefulness of the software.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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normal heart function normal heart function |
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abnormal heart function abnormal heart function |
Outcome Measures
Primary Outcome Measures
Eligibility Criteria
Criteria
Inclusion Criteria:
- patients who already have cardiac catheterization ventriculography and cardiac echo studies.
Exclusion Criteria:
- patients who do not have either cardiac catheterization ventriculography or cardiac echo studies.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Far Eastern Memorial Hospital | New Taipei | Taiwan | 22060 |
Sponsors and Collaborators
- Far Eastern Memorial Hospital
Investigators
- Principal Investigator: Yu-Chien Shiau, PhD, Far Eastern Memorial Hospital
Study Documents (Full-Text)
None provided.More Information
Publications
- Bravo A, Medina R. An unsupervised clustering framework for automatic segmentation of left ventricle cavity in human heart angiograms. Comput Med Imaging Graph. 2008 Jul;32(5):396-408. doi: 10.1016/j.compmedimag.2008.03.003.
- Oost E, Koning G, Sonka M, Oemrawsingh PV, Reiber JH, Lelieveldt BP. Automated contour detection in X-ray left ventricular angiograms using multiview active appearance models and dynamic programming. IEEE Trans Med Imaging. 2006 Sep;25(9):1158-71.
- Suzuki K, Horiba I, Sugie N, Nanki M. Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector. IEEE Trans Med Imaging. 2004 Mar;23(3):330-9.
- White RD, Setser RM. Integrated approach to evaluating coronary artery disease and ischemic heart disease. Am J Cardiol. 2002 Nov 21;90(10C):49L-55L. Review.
- FEMH-IRB-100070-E