Title :
Towards a Biomechanical-Based Method for Assessing Myocardial Tissue Viability
Author :
Linte, Cristian A. ; Wierzbicki, Marcin ; Aladl, Usaf ; Peters, Terry M. ; Samani, Abbas
Author_Institution :
Biomed. Eng., Univ. of Western Ontario, London, Ont.
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
This work presents the first steps towards the development and implementation of a novel 3D biomechanical-based method for assessing the viability of myocardial tissue, with particular interest for its application in myocardial infarction (MI) diagnosis. This assessment technique quantifies the myocardial contraction forces developed within the ventricular myofibrils in response to the electrophysiological stimulus. In this manuscript we provide a 3D finite element (FE) formulation of a contraction force reconstruction algorithm based on an inverse problem solution of linear elasticity, along with its implementation using clinical data. This algorithm has been applied to patient-specific models obtained by extracting anatomical features from high-resolution, high-contrast magnetic resonance (MR) cardiac images. The input consists of motion information extracted by nonrigid registration of the mid-diastole reference image to the remaining images of the 4D data set, acquired using ECG-gating throughout the cardiac cycle. The result consists of a display-map of the contraction force distribution superimposed on the anatomical ventricle model, which allows the clinician to identify regions of low contractility in the myocardium
Keywords :
biomechanics; biomedical MRI; cardiovascular system; elasticity; electrocardiography; feature extraction; finite element analysis; image reconstruction; image registration; inverse problems; medical image processing; 3D biomechanical-based method; 3D finite element formulation; ECG-gated imaging; MRI; anatomical feature extraction; anatomical ventricle model; electrophysiological stimulus; high-contrast magnetic resonance cardiac images; inverse problem; linear elasticity; mid-diastole reference image; motion information extraction; myocardial contraction force reconstruction algorithm; myocardial infarction diagnosis; myocardial tissue viability assessment; nonrigid registration; patient-specific model; ventricular myofibrils; Biomedical engineering; Biomedical imaging; Cities and towns; Data mining; High-resolution imaging; Image segmentation; Myocardium; Physiology; Positron emission tomography; Strain measurement; cardiac imaging; cardiovascular biomechanics; finite element modeling; myocardial viability assessment;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260523
