Tsaftaris, Sotirios A. and Zhou, Xiangzhi and Tang, Richard and Dharmakumar, Rohan Unsupervised and reproducible image-based identification of cardiac phases in cine SSFP MRI. In: 18th Meeting of the international society for magnetic resonance in medicine, 1-7 May 2010, Stockholm, Sweden (Unpublished) (2011)
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 cardiac cine MRI. Reliable identification of ES is also important in cardiac phase-resolved myocardial blood-oxygen-level-dependent (BOLD) MRI studies (1). An assessment of changes in myocardial oxygenation requires BOLD images to be collected at rest and stress, which is typically induced with intravenous infusion of adenosine. ES images at both states are compared to assess the presence of coronary artery stenosis. To increase reproducibility and eliminate variability it is desirable to automate this procedure. Most automated methods relying on trigger times do not account for anatomical correspondence, while methods based on identifying the minimum and maximum of the blood pool area in the Left Ventricle (LV) chamber, are computationally intensive, susceptible to noise, and require prior localization and segmentation of the LV. The purpose of this work is to develop automated methods to facilitate in the robust and reproducible evaluation of cardiac cine MRI studies
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Computer software R Medicine > RC Internal medicine T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Research Area: | Computer Science and Applications |
| Depositing User: | Users 35 not found. |
| Date Deposited: | 08 Sep 2011 10:12 |
| Last Modified: | 05 Mar 2013 15:32 |
| URI: | http://eprints.imtlucca.it/id/eprint/841 |
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