An analysis of methods for the selection of atlases for use in medical image segmentation

Jeffrey W. Prescott; Thomas M. Best; Furqan Haq; Rebecca Jackson; Metin Gurcan

doi:10.1117/12.843745

12 March 2010 An analysis of methods for the selection of atlases for use in medical image segmentation

Jeffrey W. Prescott, Thomas M. Best, Furqan Haq, Rebecca Jackson, Metin Gurcan

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76231T (2010) https://doi.org/10.1117/12.843745
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

The use of atlases has been shown to be a robust method for segmentation of medical images. In this paper we explore different methods of selection of atlases for the segmentation of the quadriceps muscles in magnetic resonance (MR) images, although the results are pertinent for a wide range of applications. The experiments were performed using 103 images from the Osteoarthritis Initiative (OAI). The images were randomly split into a training set consisting of 50 images and a testing set of 53 images. Three different atlas selection methods were systematically compared. First, a set of readers was assigned the task of selecting atlases from a training population of images, which were selected to be representative subgroups of the total population. Second, the same readers were instructed to select atlases from a subset of the training data which was stratified based on population modes. Finally, every image in the training set was employed as an atlas, with no input from the readers, and the atlas which had the best initial registration, judged by an appropriate registration metric, was used in the final segmentation procedure. The segmentation results were quantified using the Zijdenbos similarity index (ZSI). The results show that over all readers the agreement of the segmentation algorithm decreased from 0.76 to 0.74 when using population modes to assist in atlas selection. The use of every image in the training set as an atlas outperformed both manual atlas selection methods, achieving a ZSI of 0.82.

Citation Download Citation

Jeffrey W. Prescott, Thomas M. Best, Furqan Haq, Rebecca Jackson, and Metin Gurcan "An analysis of methods for the selection of atlases for use in medical image segmentation", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76231T (12 March 2010); https://doi.org/10.1117/12.843745

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Image registration

Medical imaging

Magnetic resonance imaging

Image processing algorithms and systems

Magnetism

Medicine

Show All Keywords

Keywords/Phrases

Search In:

Publication Years