Regional analysis of left ventricle function using a cardiac-specific polyaffine motion model

Kristin Mcleod, Christof Seiler, Nicolas Toussaint, Maxime Sermesant, Xavier Pennec

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review


Given the complex dynamics of cardiac motion, understanding the motion for both normal and pathological cases can aid in understanding how different pathological conditions effect, and are affected by cardiac motion. Naturally, different regions of the left ventricle of the heart move in different ways depending on the location, with significantly different dynamics between the septal and free wall, and basal and apical regions. Therefore, studying the motion at a regional level can provide further information towards identifying abnormal regions for example. The 4d left ventricular motion of a given case was characterised by a low number of parameters at a region level using a cardiac specific polyaffine motion model. The motion was then studied at a regional level by analysing the computed affine transformation matrix of each region. This was used to examine the regional evolution of normal and pathological subjects over the cardiac cycle. The method was tested on 15 healthy volunteers with 4d ground truth landmarks and 5 pathological patients, all candidates for cardiac resynchronisation therapy. Visually significant differences between normal and pathological subjects in terms of synchrony between the regions were obtained, which enables us to distinguish between healthy and unhealthy subjects. The results indicate that the method may be promising for analysing cardiac function.keywordscardiac magnetic resonancecardiac resynchronisation therapyheart failure patientleft bundle branch blockcardiac motionthese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Original languageEnglish
Title of host publicationInternational Conference on Functional Imaging and Modeling of the Heart
Number of pages8
Publication statusPublished - 2013
Externally publishedYes


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