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MICCAI
2005
Springer

A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis

10 years 2 months ago
A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis
Abstract. We propose a novel framework to predict pacing sites in the left ventricle (LV) of a heart and its result can be used to assist pacemaker implantation and programming in cardiac resynchronization therapy (CRT), a widely adopted therapy for heart failure patients. In a traditional CRT device deployment, pacing sites are selected without quantitative prediction. That runs the risk of suboptimal benefits. In this work, the spherical harmonic (SPHARM) description is employed to model the ventricular surfaces and a novel SPHARM-based surface correspondence approach is proposed to capture the ventricular wall motion. A hierarchical agglomerative clustering technique is applied to the time series of regional wall thickness to identify candidate pacing sites. Using clinical MRI data in our experiments, we demonstrate that the proposed framework can not only effectively identify suitable pacing sites, but also distinguish patients from normal subjects perfectly to help medical diagnos...
Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, B
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2005
Where MICCAI
Authors Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman
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