Journal article
4-D Cardiac MR Image Analysis: Left and Right Ventricular Morphology and Function
IEEE transactions on medical imaging, Vol.29(2), pp.350-364
02/2010
DOI: 10.1109/TMI.2009.2030799
PMCID: PMC2849009
PMID: 19709962
Abstract
In this study, a combination of active shape model (ASM) and active appearance model (AAM) was used to segment the left and right ventricles of normal and Tetralogy of Fallot (TOF) hearts on 4-D (3-D+time) MR images. For each ventricle, a 4-D model was first used to achieve robust preliminary segmentation on all cardiac phases simultaneously and a 3-D model was then applied to each phase to improve local accuracy while maintaining the overall robustness of the 4-D segmentation. On 25 normal and 25 TOF hearts, in comparison to the expert traced independent standard, our comprehensive performance assessment showed subvoxel segmentation accuracy, high overlap ratios, good ventricular volume correlations, and small percent volume differences. Following 4-D segmentation, novel quantitative shape and motion features were extracted using shape information, volume-time and dV/dt curves, analyzed and used for disease status classification. Automated discrimination between normal/TOF subjects achieved 90%–100% sensitivity and specificity. The features obtained from TOF hearts show higher variability compared to normal subjects, suggesting their potential use as disease progression indicators. The abnormal shape and motion variations of the TOF hearts were accurately captured by both the segmentation and feature characterization.
Details
- Title: Subtitle
- 4-D Cardiac MR Image Analysis: Left and Right Ventricular Morphology and Function
- Creators
- Honghai Zhang - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242 USAAndreas Wahle - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242 USARyan K Johnson - Division of Pediatric Cardiology, Department of Pediatrics, The University of Iowa, Iowa City, IA 52242 USAThomas D Scholz - Division of Pediatric Cardiology, Department of Pediatrics, The University of Iowa, Iowa City, IA 52242 USAMilan Sonka - Department of Electrical and Computer Engineering, the Department of Ophthalmology and Visual Sciences, and the Department of Radiation Oncology, The University of Iowa, Iowa City, IA, 52242 USA
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on medical imaging, Vol.29(2), pp.350-364
- DOI
- 10.1109/TMI.2009.2030799
- PMID
- 19709962
- PMCID
- PMC2849009
- NLM abbreviation
- IEEE Trans Med Imaging
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Publisher
- Institute of Electrical and Electronics Engineers
- Grant note
- R01 EB004640-02 || EB / National Institute of Biomedical Imaging and Bioengineering : NIBIB R01 HL071809-04 || HL / National Heart, Lung, and Blood Institute : NHLBI R01 HL071809-03 || HL / National Heart, Lung, and Blood Institute : NHLBI R01 EB004640-03 || EB / National Institute of Biomedical Imaging and Bioengineering : NIBIB R01 HL071809-02 || HL / National Heart, Lung, and Blood Institute : NHLBI R01 HL071809-01A1 || HL / National Heart, Lung, and Blood Institute : NHLBI R01 EB004640-01A2 || EB / National Institute of Biomedical Imaging and Bioengineering : NIBIB R01 EB004640-04 || EB / National Institute of Biomedical Imaging and Bioengineering : NIBIB
- Language
- English
- Date published
- 02/2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Cardiology; Stead Family Department of Pediatrics; Radiation Oncology; Injury Prevention Research Center; Child and Community Health; Ophthalmology and Visual Sciences
- Record Identifier
- 9984046802502771
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