Visual enhancement of interval changes using a temporal subtraction technique

Dieter Seghers; Dirk Loeckx; Frederik Maes; Paul Suetens

doi:10.1117/12.710480

1 March 2007 Visual enhancement of interval changes using a temporal subtraction technique

Dieter Seghers, Dirk Loeckx, Frederik Maes, Paul Suetens

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65124R (2007) https://doi.org/10.1117/12.710480
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Temporal subtraction is a visual enhancement technique to improve the detection of pathological changes from medical images acquired at different times. Prior to subtracting a previous image from a current image, a nonrigid warping of the two images might be necessary. As the nonrigid warping may change the size of pathological lesions, the subtraction image can be misleading. In this paper we present an alternative subtraction technique to avoid this problem. Instead of subtracting the intensities of corresponding voxels, a convolution filter is applied to both images prior to subtraction. The technique is demonstrated for computed tomography images of the lungs. It is shown that this method results in an improved visual enhancement of changing nodules compared with the conventional subtraction technique.

Citation Download Citation

Dieter Seghers, Dirk Loeckx, Frederik Maes, and Paul Suetens "Visual enhancement of interval changes using a temporal subtraction technique", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65124R (1 March 2007); https://doi.org/10.1117/12.710480

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