Journal article
Automated analysis of four-dimensional magnetic resonance images of the human aorta
The International Journal of Cardiovascular Imaging, Vol.26(5), pp.571-578
06/2010
DOI: 10.1007/s10554-010-9592-5
PMCID: PMC4344131
PMID: 20146003
Abstract
The purpose of the study was to demonstrate the accuracy and clinical utility of an automated method of image analysis of 4D (3D + time) magnetic resonance (MR) imaging of the human aorta. Serial MR images of the entire thoracic aorta were acquired on 32 healthy individuals. Graph theory based segmentation was applied to the images and cross sectional area (CSA) was determined for the entire length of thoracic aorta. Mean CSA was compared between the 3 years. CSA values at the level of sinuses of Valsalva and sino-tubular junction were used to calculate average diameters for comparison to Roman-Devereux norms. A robust automated segmentation method was developed that accurately reproduced CSA measurements for the entire length of thoracic aorta in serially acquired scans with a 1% error compared to expert tracing. Calculated aortic root diameters based on CSA correlated with Roman-Devereux norms. Mean CSA for the aortic root agreed well with previously published manually derived values. Automated analysis of 4D MR images of the thoracic aorta provides accurate and reproducible results for CSA in healthy human subjects. The ability to simultaneously analyze the entire length of thoracic aorta throughout the cardiac cycle opens the door to the calculation of novel indices of aortic biophysical properties. These novel indices may lead to earlier detection of patients at risk for adverse events.
Details
- Title: Subtitle
- Automated analysis of four-dimensional magnetic resonance images of the human aorta
- Creators
- Ryan Johnson - Department of Pediatrics, Carver College of Medicine University of Iowa Iowa City IA USASenthil Premraj - Department of Electrical and Computer Engineering University of Iowa Iowa City IA USASonali Patel - Department of Pediatrics, Carver College of Medicine University of Iowa Iowa City IA USANicholas Walker - Department of Pediatrics, Carver College of Medicine University of Iowa Iowa City IA USAAndreas Wahle - Department of Electrical and Computer Engineering University of Iowa Iowa City IA USAMilan Sonka - Department of Electrical and Computer Engineering University of Iowa Iowa City IA USAThomas Scholz - Department of Pediatrics, Division of Pediatric Cardiology University of Iowa Children’s Hospital 200 Hawkins Drive, 2801 JPP Iowa City IA 52242 USA
- Resource Type
- Journal article
- Publication Details
- The International Journal of Cardiovascular Imaging, Vol.26(5), pp.571-578
- DOI
- 10.1007/s10554-010-9592-5
- PMID
- 20146003
- PMCID
- PMC4344131
- NLM abbreviation
- Int J Cardiovasc Imaging
- ISSN
- 1569-5794
- eISSN
- 1573-0743
- Publisher
- Springer Netherlands; Dordrecht
- Language
- English
- Date published
- 06/2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Cardiology; Stead Family Department of Pediatrics; Cardiovascular Medicine; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Child and Community Health; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047786002771
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