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Reference: Jacob, Gary, (1999). Quantifying regional left ventricular function using spatio-temporal tracking techniques. Dphil. University of Oxford.Citable link to this page:


Quantifying regional left ventricular function using spatio-temporal tracking techniques

Abstract: Increasingly, diagnosis of cardiac disease, relies on computer processing of imagesto aid decision making. In this thesis, we use echocardiography, which is the mostwidely used cardiac imaging modality to study the motion of the left ventricle.Currently, clinical reporting of echocardiography examinations is operator-dependentand largely qualitative. Commercially available software does not track the left ven-tricle. Also, it does not provide quantification of regional function.This thesis establishes a framework for the quantitative regional analysis of left ven-tricular function. The endocardial and epicardial contours are automatically trackedduring the cardiac cycle. A quantitative measure of regional endocardial wall excur-sion and myocardial thickening, based on a 16-segment model of the heart, is thenobtained based on these boundaries.The new tracking framework is based on Kalman filtering which makes a single pre-diction as to the position of the boundary on the next frame. We develop a mea-surement model for the endocardial border, the tissue/blood interface, and the epi-cardium, the tissue/tissue interface. Having tracked the endocardial and epicardialboundaries, we introduce an interpretational space which provides clinically mean-ingful regional quantitative measures of left ventricular function. We illustrate all theconcepts on one example.We apply the ideas developed to stress echocardiography, in a small retrospectiveclinical test.

Type of Award:Dphil Level of Award:Doctoral Awarding Institution: University of Oxford Notes:The digital copy of this thesis has been made available thanks to the generosity of Dr Leonard Polonsky


Noble, Alison J.More by this contributor



Alison NobleMore by this contributor


 Bibliographic Details

Issue Date: 1999Identifiers

Urn: uuid:051f5820-e6fb-4757-8669-b464fb050db9

Source identifier: 603847041 Item Description

Type: Thesis;

Language: eng Subjects: Robotics in medicine Echocardiography Tiny URL: td:603847041


Autor: Jacob, Gary - institutionUniversity of Oxford facultyMathematical and Physical Sciences Division - - - - Contributors Noble, Alis

Fuente: https://ora.ox.ac.uk/objects/uuid:051f5820-e6fb-4757-8669-b464fb050db9


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