A prediction framework for cardiac resynchronization therapy via 4D cardiac motion analysis

Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin Pearlman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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 diagnosis and prognosis.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages704-711
Number of pages8
Volume3749 LNCS
DOIs
StatePublished - 2005
Externally publishedYes
Event8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - Palm Springs, CA, United States
Duration: Oct 26 2005Oct 29 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3749 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005
CountryUnited States
CityPalm Springs, CA
Period10/26/0510/29/05

Fingerprint

Cardiac resynchronization therapy
Cardiac Resynchronization Therapy
Motion Analysis
Cardiac
Therapy
Cardiac Resynchronization Therapy Devices
Spherical Harmonics
Pacemakers
Prediction
Magnetic resonance imaging
Heart Ventricles
Cluster Analysis
Heart Failure
Time series
Left Ventricle
Implantation
Prognosis
Hierarchical Clustering
Correspondence
Programming

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Huang, H., Shen, L., Zhang, R., Makedon, F., Hettleman, B., & Pearlman, J. (2005). A prediction framework for cardiac resynchronization therapy via 4D cardiac motion analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3749 LNCS, pp. 704-711). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3749 LNCS). https://doi.org/10.1007/11566465_87

A prediction framework for cardiac resynchronization therapy via 4D cardiac motion analysis. / Huang, Heng; Shen, Li; Zhang, Rong; Makedon, Fillia; Hettleman, Bruce; Pearlman, Justin.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3749 LNCS 2005. p. 704-711 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3749 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, H, Shen, L, Zhang, R, Makedon, F, Hettleman, B & Pearlman, J 2005, A prediction framework for cardiac resynchronization therapy via 4D cardiac motion analysis. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3749 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3749 LNCS, pp. 704-711, 8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, Palm Springs, CA, United States, 10/26/05. https://doi.org/10.1007/11566465_87
Huang H, Shen L, Zhang R, Makedon F, Hettleman B, Pearlman J. A prediction framework for cardiac resynchronization therapy via 4D cardiac motion analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3749 LNCS. 2005. p. 704-711. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11566465_87
Huang, Heng ; Shen, Li ; Zhang, Rong ; Makedon, Fillia ; Hettleman, Bruce ; Pearlman, Justin. / A prediction framework for cardiac resynchronization therapy via 4D cardiac motion analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3749 LNCS 2005. pp. 704-711 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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