EurekaMag.com logo
+ Site Statistics
References:
53,623,987
Abstracts:
29,492,080
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on LinkedInFollow on LinkedIn

+ Translate

Multi-view active appearance models for consistent segmentation of multiple standard views Application to long- and short-axis cardiac MR images



Multi-view active appearance models for consistent segmentation of multiple standard views Application to long- and short-axis cardiac MR images



Lemke, Heinz U , Reprint Author, Vannier, Michael W, Inamura, Kiyonari, Farman, Allan G, Doi, Kunio, Reiber, John H C Computer assisted radiology and surgery: 1141-1146



This paper describes a multi-view Active Appearance Model (AAM) for coherent segmentation of multiple cardiac views. Cootes' AAM framework was adapted by considering shapes and intensities from multiple views as single shape and intensity samples, while eliminating trivial difference in object pose in different views. This way, the coherence in organ shape and intensities between different views is modeled and utilized during image search. In a leave-one-out validation study on a combination of four-chamber, two-chamber and short-axis cardiac MR views from 29 patients, low border positioning errors were found comparing manual and computer detected borders, whereas no statistically significant difference in contour area was present. The presented validation shows that the method combines a high robustness with clinically acceptable accuracy, and therefore is a promising tool to further automate the integral quantitative analysis of cardiac MR patient examinations.

(PDF same-day service: $19.90)

Accession: 035349639

Download citation: RISBibTeXText

DOI: 10.1016/s0531-5131(03)00470-9



Related references

Multiview active appearance models for simultaneous segmentation of cardiac 2-and 4-chamber long-axis magnetic resonance images. Investigative Radiology 40(4): 195-203, 2005

Multi-View Active Appearance Models: application to X-ray LV angiography and cardiac MRI. Information Processing in Medical Imaging 18: 234-245, 2004

3-D active appearance models: segmentation of cardiac MR and ultrasound images. IEEE Transactions on Medical Imaging 21(9): 1167-1178, 2003

Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours. Medical Physics 41(5): 051910-051910, 2014

A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray images. Bmc Medical Informatics and Decision Making 9 Suppl 1(): S2-S2, 2010

Cardiac through-plane motion Comparison of long-axis length and shortening in long-axis and short-axis magnetic resonance images. European Heart Journal 15(ABSTR SUPPL ): 574, 1994

A review of segmentation methods in short axis cardiac MR images. Medical Image Analysis 15(2): 169-184, 2011

Automatic segmentation of cardiac MRI cines validated for long axis views. Computerized Medical Imaging and Graphics 37(7-8): 500-511, 2014

3D segmentation of the left ventricle combining long- and short-axis MR images. Methods of Information in Medicine 48(4): 340-343, 2009

Nearly automated motion artifacts correction between multi breath-hold short-axis and long-axis cine CMR images. Computers in Biology and Medicine 46(): 42-50, 2014

Automatic segmentation of left ventricle cavity from short-axis cardiac magnetic resonance images. Medical & Biological Engineering & Computing, 2017

Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images. IEEE Transactions on Medical Imaging 20(5): 415-423, 2001

Fusion of short-axis and long-axis cardiac MR images. Computerized Medical Imaging & Graphics. 20(2): 77-87, 1996

An image-based comprehensive approach for automatic segmentation of left ventricle from cardiac short axis cine MR images. Journal of Digital Imaging 24(4): 598-608, 2011

Segmentation of ultrasonic images by application of active contour models. Lemke, H U, Vannier, M W, Inamura, K, Farman, A G International Congress Series; CAR '98: Computer assisted radiology and surgery 871, 1998