Skip to Main content Skip to Navigation
Conference papers

An Embedding Framework for Myocardial Velocity Field Mapping with MRI

Abstract : This paper presents an embedding framework for myocardial velocity processing with MRI based on a hollow, semi-spherical template. The relationship between vector bundle and manifold mapping is analysed and three different mapping methods that include tangent mapping, normal mapping, and normal-tangent mapping are assessed for their practical value of myocardial contractility analysis. The proposed method provides a basis for consistent volume matching and vector correspondence, in addition to the ease of calculating biomechanical indices such as radial, circumferential and longitudinal strain rates without the concern of boundary effects. Detailed analysis results with both synthetic and in vivo MR velocity data sets are provided.
Document type :
Conference papers
Complete list of metadata
Contributor : Chine Publications Liama Connect in order to contact the contributor
Submitted on : Thursday, January 11, 2007 - 1:24:12 PM
Last modification on : Tuesday, January 18, 2022 - 2:26:04 PM

Links full text




Longfei Cong, Su-Lin Lee, Andrew Huntbatch, Tianzi Jiang, Guang-Zhong Yang. An Embedding Framework for Myocardial Velocity Field Mapping with MRI. Proceedings of Medical Image Computing and Computer Assisted Intervention -MICCAI'06, Aug 2006, Shanghai, Chine, China. pp.44-51, ⟨10.1007/11812715_6⟩. ⟨inria-00123894⟩



Record views