Literature DB >> 15536894

Extraction and quantification of left ventricular deformation modes.

Espen W Remme1, Alistair A Young, Kevin F Augenstein, Brett Cowan, Peter J Hunter.   

Abstract

We have developed a method that decomposes the deformation of the left ventricle (LV) between end diastole (ED) and end systole (ES) into separate deformation modes such as longitudinal shortening, wall thickening, and twisting. The deformation was initially found from the motion of an LV finite-element mesh that was fitted to clinically obtained magnetic resonance (MR) tagged images. A mode coefficient was calculated for each deformation mode to quantify the different modes and, thus allowing for discrimination of normal and abnormal deformation patterns. We applied the method to 13 normal subjects and 13 diabetes patients. By using the ED mesh as reference and adding the extracted deformation modes multiplied by their mode coefficients, an approximate ES mesh was calculated and compared with the "true" ES mesh found from the MR images. For the 26 subjects the average Euclidean distance was less than 1.7+/-0.9 mm between the nodes of the approximated and true ES meshes. The coefficient values for the patient group showed significantly less longitudinal shortening, less wall thickening, more longitudinal twisting and also more bulging of the septum into the LV when compared with the normal subjects. We conclude that the developed method successfully quantifies the deformation into several modes of deformation and is capable of distinguishing the deformation of a group of patients from a group of normal subjects.

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Year:  2004        PMID: 15536894     DOI: 10.1109/TBME.2004.834283

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  12 in total

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9.  Information maximizing component analysis of left ventricular remodeling due to myocardial infarction.

Authors:  Xingyu Zhang; Bharath Ambale-Venkatesh; David A Bluemke; Brett R Cowan; J Paul Finn; Alan H Kadish; Daniel C Lee; Joao A C Lima; William G Hundley; Avan Suinesiaputra; Alistair A Young; Pau Medrano-Gracia
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10.  Detection of Cardiac Function Abnormality from MRI Images Using Normalized Wall Thickness Temporal Patterns.

Authors:  Mai Wael; El-Sayed H Ibrahim; Ahmed S Fahmy
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