Skip to Main content Skip to Navigation
Conference papers

DL-based classification of LV wall motion in cardiac MRI with a parametric approach

Abstract : In this paper, we propose an automated method to assess wall motion in Left Ventricle (LV) function in cardiac cine-Magnetic Resonance Imaging (MRI) based on Dictionary Learning (DL) classification with a parametric approach. Time-signal intensity curves (TSICs) are identified in spatio-temporal profiles extracted from differents anatomical segments in a cardiac MRI study. Parameters are extracted from TSICs that present a decreasing then increasing shape reflecting dynamic information of the LV contraction. Several parameter combinations are used as input atoms to train a sparse classifier based on kernel DL and results are compared with Support Vector Machines. Best classification performance is obtained with an accuracy about 94%.
Document type :
Conference papers
Complete list of metadatas

Cited literature [4 references]  Display  Hide  Download

https://www.hal.inserm.fr/inserm-01155024
Contributor : Frédérique Frouin <>
Submitted on : Tuesday, May 26, 2015 - 8:14:54 AM
Last modification on : Tuesday, July 21, 2020 - 11:20:03 PM
Long-term archiving on: : Thursday, April 20, 2017 - 8:15:13 AM

File

ACTES-RITS2015-HAL-p180-1.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

  • HAL Id : inserm-01155024, version 1

Citation

Juan Mantilla, Mireille Garreau, Jean-Jacques Bellanger, Christophe Leclercq, José Paredes. DL-based classification of LV wall motion in cardiac MRI with a parametric approach. Journées RITS 2015, Mar 2015, Dourdan, France. pp 180-181. ⟨inserm-01155024⟩

Share

Metrics

Record views

370

Files downloads

152