Robust algorithms for anatomic plane primitive detection in MR

Maneesh Dewan; Yiqiang Zhan; Zhigang Peng; Xiang Sean Zhou

doi:10.1117/12.813735

27 February 2009 Robust algorithms for anatomic plane primitive detection in MR

Maneesh Dewan, Yiqiang Zhan, Zhigang Peng, Xiang Sean Zhou

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 72601C (2009) https://doi.org/10.1117/12.813735
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

One of primary challenges in the medical image data analysis is the ability to handle abnormal, irregular and/or partial cases. In this paper, we present two different robust algorithms towards the goal of automatic planar primitive detection in 3D volumes. The overall algorithm is a bottoms-up approach starting with the anatomic point primitives (or landmarks) detection. The robustness in computing the planar primitives is built in through both a novel consensus-based voting approach, and a random sampling-based weighted least squares regression method. Both these approaches remove inconsistent landmarks and outliers detected in the landmark detection step. Unlike earlier approaches focused towards a particular plane, the presented approach is generic and can be easily adapted to computing more complex primitives such as ROIs or surfaces. To demonstrate the robustness and accuracy of our approach, we present extensive results for automatic plane detection (Mig-Sagittal and Optical Triangle planes) in brain MR-images. In comparison to ground truth, our approach has marginal errors on about 90 patients. The algorithm also works really well under adverse conditions of arbitrary rotation and cropping of the 3D volume. In order to exhibit generalization of the approach, we also present preliminary results on intervertebrae-plane detection for 3D spine MR application.

Citation Download Citation

Maneesh Dewan, Yiqiang Zhan, Zhigang Peng, and Xiang Sean Zhou "Robust algorithms for anatomic plane primitive detection in MR", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72601C (27 February 2009); https://doi.org/10.1117/12.813735

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available