Performance of 3D differential operators for the detection of anatomical point landmarks in MR and CT images

Thomas Hartkens; Karl Rohr; H. Siegfried Stiehl

doi:10.1117/12.348583

21 May 1999 Performance of 3D differential operators for the detection of anatomical point landmarks in MR and CT images

Thomas Hartkens, Karl Rohr, H. Siegfried Stiehl

Author Affiliations +

Proceedings Volume 3661, Medical Imaging 1999: Image Processing; (1999) https://doi.org/10.1117/12.348583
Event: Medical Imaging '99, 1999, San Diego, CA, United States

Abstract

Point-based registration of images generally depends on the extraction of suitable landmarks. Recently, different 3D operators have been proposed in the literature to detect anatomical point landmarks in 3D images. While the localization performance of 3D operators has already been investigated (e.g., Frantz et al), studies on the detection performance of 3D operators are hardly known. In this paper, we investigate nine 3D differential operators for the detection of 3D point landmarks in MR and CT images. These operators are based on either first, second, or first and second order partial derivatives of an image. In our investigation we use measures, which reflect different aspects of the detection performance of the operators. in the first part of the investigation, we analyze the number of corresponding detections in 3D tomographic images, and in the second part we use statistical measures to determine the detection performance w.r.t. certain landmarks. It turns out that (1) operators based on only first order partial derivative of an image yield a larger number of corresponding points than the other operates and that (2) their performance on the basis of the statistical measures is better.

Citation Download Citation

Thomas Hartkens, Karl Rohr, and H. Siegfried Stiehl "Performance of 3D differential operators for the detection of anatomical point landmarks in MR and CT images", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348583

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