Atlas-based analysis of cardiac shape and function: correction of regional shape bias due to imaging protocol for population studies

Journal of Cardiovascular Magnetic Resonance

Research

Alistair A Young¹  Avan Suinesiaputra¹  Brett R Cowan¹  Pau Medrano-Gracia¹  J Paul Finn²  Daniel C Lee³  Alan H Kadish³  David A Bluemke⁴  Joao AC Lima⁵ 

[1] Department of Anatomy with Radiology, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Road, 1142, Auckland, New Zealand;Department of Radiology, UCLA, Los Angeles, USA;Feinberg Cardiovascular Research Institute, Northwestern University, Chicago, USA;National Institute of Biomedical Imaging and Bioengineering, Bethesda, Maryland, USA;The Donald W. Reynolds Cardiovascular Clinical Research Center, The Johns Hopkins University, Baltimore, USA;

关键词: Cardiovascular magnetic resonance;    Atlas;    Bias correction;   

DOI  :  10.1186/1532-429X-15-80

 received in 2013-06-07, accepted in 2013-09-04,  发布年份 2013

来源: Springer

【 摘 要 】

BackgroundCardiovascular imaging studies generate a wealth of data which is typically used only for individual study endpoints. By pooling data from multiple sources, quantitative comparisons can be made of regional wall motion abnormalities between different cohorts, enabling reuse of valuable data. Atlas-based analysis provides precise quantification of shape and motion differences between disease groups and normal subjects. However, subtle shape differences may arise due to differences in imaging protocol between studies.MethodsA mathematical model describing regional wall motion and shape was used to establish a coordinate system registered to the cardiac anatomy. The atlas was applied to data contributed to the Cardiac Atlas Project from two independent studies which used different imaging protocols: steady state free precession (SSFP) and gradient recalled echo (GRE) cardiovascular magnetic resonance (CMR). Shape bias due to imaging protocol was corrected using an atlas-based transformation which was generated from a set of 46 volunteers who were imaged with both protocols.ResultsShape bias between GRE and SSFP was regionally variable, and was effectively removed using the atlas-based transformation. Global mass and volume bias was also corrected by this method. Regional shape differences between cohorts were more statistically significant after removing regional artifacts due to imaging protocol bias.ConclusionsBias arising from imaging protocol can be both global and regional in nature, and is effectively corrected using an atlas-based transformation, enabling direct comparison of regional wall motion abnormalities between cohorts acquired in separate studies.

【 授权许可】

Unknown   
© Medrano-Gracia et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.