Channelized detection filters for detecting tumors in nuclear medical images

Derek A. Hutton; Robin N. Strickland

doi:10.1117/12.274132

25 April 1997 Channelized detection filters for detecting tumors in nuclear medical images

Derek A. Hutton, Robin N. Strickland

Author Affiliations +

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274132
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

The problem of detecting known objects of known location in the presence of stationary noise is well understood, the solution being the prewhitening matched filter. Detecting tumors in nuclear medical images presents a more challenging problem: the object being a mass whose shape and location are not known exactly, and the background anatomy being nonstationary. This paper addresses the latter problem by using simulated images to train a channelized detection algorithm. We show that the detector converges to the prewhitening matched filter providing the signal is known and the noise is stationary. We report on the manner in which the detector departs from the matched filter under more realistic conditions. Using detectability d_a as the performance measure, this method is tested on simulated tumors in simulated anatomical backgrounds. Results show that for certain channel configurations, the channelized detection filters perform equivalently to the prewhitening matched filter. High detectability is maintained using a limited number of channels and in cases in which the tumor size varies.

Citation Download Citation

Derek A. Hutton and Robin N. Strickland "Channelized detection filters for detecting tumors in nuclear medical images", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274132

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