Multistage hybrid active appearance model matching : Segmentation of left and right ventricles in cardiac MR images

Steven C MITCHELL; Boudewijn P. F LELIEVELDT; Rob J VAN DER GEEST; Hans G BOSCH; Johan H. C REIBER; Milan SONKA

doi:10.1109/42.925294

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Multistage hybrid active appearance model matching : Segmentation of left and right ventricles in cardiac MR images

Journal article

Peer reviewed

Multistage hybrid active appearance model matching : Segmentation of left and right ventricles in cardiac MR images

Steven C MITCHELL, Boudewijn P. F LELIEVELDT, Rob J VAN DER GEEST, Hans G BOSCH, Johan H. C REIBER and Milan SONKA

IEEE transactions on medical imaging, Vol.20(5), pp.415-423

2001

DOI: 10.1109/42.925294

PMID: 11403200

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Abstract

A fully automated approach to segmentation of the left and right cardiac ventricles from magnetic resonance (MR) images is reported. A novel multistage hybrid appearance model methodology is presented in which a hybrid active shape model/active appearance model (AAM) stage helps avoid local minima of the matching function. This yields an overall more favorable matching result. An automated initialization method is introduced making the approach fully automated. The authors' method was trained in a set of 102 MR images and tested in a separate set of 60 images. In all testing cases, the matching resulted in a visually plausible and accurate mapping of the model to the image data. Average signed border positioning errors did not exceed 0.3 mm in any of the three determined contours-left-ventricular (LV) epicardium, LV and right-ventricular (RV) endocardium. The area measurements derived from the three contours correlated well with the independent standard (r=0.96, 0.96, 0.90), with slopes and intercepts of the regression lines close to one and zero, respectively. Testing the reproducibility of the method demonstrated an unbiased performance with small range of error as assessed via Bland-Altman statistic. In direct border positioning error comparison, the multistage method significantly outperformed the conventional AAM (p<0.001). The developed method promises to facilitate fully automated quantitative analysis of LV and RV morphology and function in clinical setting.

Cardiovascular System

Radiodiagnosis. Nmr imagery. Nmr spectrometry

Biological and medical sciences

Investigative techniques, diagnostic techniques (general aspects)

Medical sciences

Details

Title: Subtitle: Multistage hybrid active appearance model matching : Segmentation of left and right ventricles in cardiac MR images
Creators: Steven C MITCHELL - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, United States
Boudewijn P. F LELIEVELDT - Leiden University Medical Center, Department of Radiology, 2300 RC Leiden, Netherlands
Rob J VAN DER GEEST - Leiden University Medical Center, Department of Radiology, 2300 RC Leiden, Netherlands
Hans G BOSCH - Leiden University Medical Center, Department of Radiology, 2300 RC Leiden, Netherlands
Johan H. C REIBER - Leiden University Medical Center, Department of Radiology, 2300 RC Leiden, Netherlands
Milan SONKA - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, United States
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.20(5), pp.415-423
DOI: 10.1109/42.925294
PMID: 11403200
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers; New York, NY
Language: English
Date published: 2001
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984047746302771

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