Heart disease is the leading cause of death in the United States today. Cardiac motion analysis using magnetic resonance imaging has proven to be a sensitive method to detect and quantify regions of ischemia and infarction in the diseased heart. The current methodology, however, is limited by slow image acquisition times, non-automated image analysis methods, and sparse three-dimensional measurement protocols, usually limited to the left ventricle. The goals of the proposed research are to develop and validate a new, ultrafast method to image myocardial motion and strain using tagged magnetic resonance imaging and the concept of harmonic phase images. The applicants reported that harmonic phase images are instrumental in automated, accurate imaging of closely spaced tag planes, small motion fields, two-dimensional strain, and sequential two-dimensional displacement fields. Preliminary results provided in this proposal support the hypothesis that harmonic phase images can be used in real-time, two dimensional motion and strain imaging and interactive-time three-dimensional motion and strain imaging. The applicants propose to 1) characterize and optimize harmonic phase imaging methods; 2) develop, implement, and validate real-time 2-D harmonic phase imaging methods; 3) develop, implement, and validate single breath-hold 3-D harmonic phase imagine methods; and 4) develop and validate a suite of new clinical protocols using harmonic phase imaging. All methods will be extensively validated using a computer phantom, physical phantoms, and human scans. In addition, comparative studies will be conducted throughout the course of research using competing imaging, data processing, and visualization approaches. The methods to be developed for the ultrafast, automated, and accurate imaging of cardiac strain will be useful in screening for cardiac ischemic disease, rapid evaluation of myocardial infarction extent and degree, and for monitoring treatment after myocardial infarction.
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| Soleimanifard, Sahar; Abd-Elmoniem, Khaled Z; Agarwal, Harsh K et al. (2010) IDENTIFICATION OF MYOCARDIAL INFARCTION USING THREE-DIMENSIONAL STRAIN TENSOR FRACTIONAL ANISOTROPY. Proc IEEE Int Symp Biomed Imaging 2010:468-471 |
| Agarwal, Harsh K; Prince, Jerry L; Abd-Elmoniem, Khaled Z (2010) Total removal of unwanted harmonic peaks (TruHARP) MRI for single breath-hold high-resolution myocardial motion and strain quantification. Magn Reson Med 64:574-85 |
| Liu, Xiaofeng; Prince, Jerry L (2010) Shortest path refinement for motion estimation from tagged MR images. IEEE Trans Med Imaging 29:1560-72 |
| Liu, Xiaofeng; Abd-Elmoniem, Khaled Z; Prince, Jerry L (2009) Incompressible cardiac motion estimation of the left ventricle using tagged MR images. Med Image Comput Comput Assist Interv 12:331-8 |
| Liu, Xiaofeng; Zhuo, Jiachen; Agarwal, Harsh et al. (2009) Quantification of Three Dimensional Tongue Motion During Speech Using zHARP. Proc SPIE Int Soc Opt Eng 7258: |
| Liu, Xiaofeng; Bai, Ying; Prince, Jerry L (2009) Shortest Path Refinement For HARP Motion Tracking. Proc SPIE Int Soc Opt Eng 7259:72590V |
| Agarwal, Harsh K; Abd-Elmoniem, Khaled Z; Prince, Jerry L (2009) TRUHARP: SINGLE BREATH-HOLD MRI FOR HIGH RESOLUTION CARDIAC MOTION AND STRAIN QUANTIFICATION. Proc IEEE Int Symp Biomed Imaging 2009:458-461 |
| Sampath, Smita; Osman, Nael F; Prince, Jerry L (2009) A combined harmonic phase and strain-encoded pulse sequence for measuring three-dimensional strain. Magn Reson Imaging 27:55-61 |
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