TY  - UNPB
AV  - none
N2  - 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 (1), to detect ES and ED from cine MRI acquired from canines under control conditions. The purpose of this work is to develop a fully automated, computationally efficient, post-processing method for reliable LV localization and identification of ES and ED frames from cine cardiac MR images
ID  - eprints830
M2  - Honolulu, Hawaii
Y1  - 2009///
TI  - An intensity based statistical approach for left ventricular localization and identification of end-systolic and end-diastolic images from cine cardiac MRI
T2  - 17th Meeting of the  international society for magnetic resonance in medicine
UR  - http://eprints.imtlucca.it/830/
A1  - Tsaftaris, Sotirios A.
A1  - Zhou, Xiangzhi 
A1  - Tang, Richard
A1  - Klein, Rachel
A1  - Dharmakumar, Rohan
ER  -