Skip to Main content Skip to Navigation
Conference papers

Dense Motion Estimation of the Heart Based on Cumulants

Abstract : Mutual Information (MI) has been extensively studied as similarity measure for the registration of medical images, and it has been found to be especially robust for multimodal image registration. However, MI estimators are known i) to have a very high variance and ii) to be computationally costly. In order to overcome these drawbacks, we propose a new similarity measure based on the sum of squared cumulants. In addition, our measure can be easily derivated with respect to registration parameters leading to an optimization with a simple gradient rule. Such a scheme is presented for a non-rigid registration and its performance is studied through computer results in the context of cardiac multislice computed tomography
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://www.hal.inserm.fr/inserm-00530929
Contributor : Lotfi Senhadji <>
Submitted on : Sunday, October 31, 2010 - 10:28:50 AM
Last modification on : Wednesday, May 16, 2018 - 11:23:08 AM
Long-term archiving on: : Tuesday, February 1, 2011 - 11:03:24 AM

File

Dense_Motion_Estimation_of_the...
Files produced by the author(s)

Identifiers

  • HAL Id : inserm-00530929, version 1

Collections

Citation

Mathieu Rubeaux, Jean-Claude Nunes, Laurent Albera, Mireille Garreau. Dense Motion Estimation of the Heart Based on Cumulants. Computers In Cardiology, Sep 2009, Park City, UT, United States. pp.609 - 612. ⟨inserm-00530929⟩

Share

Metrics

Record views

239

Files downloads

181