Tsaftaris, Sotirios A. and Zhou, Xiangzhi and Tang, Richard and Klein, Rachel and Dharmakumar, Rohan An automated method for left ventricular localization and identification of end-systolic and end-diastolic images from cine cardiac MRI. Journal of cardiovascular magnetic resonance, 11 (Suppl ). P222. ISSN 1532-429X (2009)
Full text not available from this repository.Abstract
A critical component in computing quantitative diagnostic metrics, such as ejection fraction, as well as image segmentation and registration is the accurate identification of the end-systolic (ES) and end-diastolic (ED) frames in cine MRI. Localization of the LV is also important, to assist further analysis (ie., myocardial segmentation). Currently, these tasks are performed in a manual, semi- or fully-automated fashion. Fully-automated methods are desirable since they can eliminate manual labor and inter- and intra-observer variability. Most methods rely on measuring the area of the blood pool in the LV chamber, but they are computationally intensive, susceptible to noise, and require prior localization and segmentation of the LV. An image-driven statistical method is presented that utilizes cross-correlation to detect ES and ED from cine MRI acquired from canines under control conditions.
| Item Type: | Article |
|---|---|
| Identification Number: | 10.1186/1532-429X-11-S1-P222 |
| Additional Information: | from 12th Annual Society for Cardiovascular Magnetic Resonance Scientific Sessions Orlando, FL, USA. 29 January–1 February 2009 |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software R Medicine > RA Public aspects of medicine T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Research Area: | Computer Science and Applications |
| Depositing User: | Users 35 not found. |
| Date Deposited: | 07 Sep 2011 13:33 |
| Last Modified: | 05 Mar 2013 15:44 |
| URI: | http://eprints.imtlucca.it/id/eprint/828 |
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