Source detection and separation of tomographic artifacts in nuclear medicine imaging using the concept of weighted scaling indices

Bjoern Poppe; Gerald Kirchner; Helmut Fischer

doi:10.1117/12.348520

21 May 1999 Source detection and separation of tomographic artifacts in nuclear medicine imaging using the concept of weighted scaling indices

Bjoern Poppe, Gerald Kirchner, Helmut Fischer

Author Affiliations +

Proceedings Volume 3661, Medical Imaging 1999: Image Processing; (1999) https://doi.org/10.1117/12.348520
Event: Medical Imaging '99, 1999, San Diego, CA, United States

Abstract

The Scaling-Index-Method (SIM) has been extended by applying weighting functions which take into account the information available on the noise characteristics. The transformation of an image by applying the weighted Scaling-Index-Method yields a measure which depends on the local correlation of the image pixels and the noise structure in the image. In nuclear medicine imaging, the methods based on the SIM enables to extract sources superimposed by strong noise or to discriminate real sources from tomographic artifacts.

Citation Download Citation

Bjoern Poppe, Gerald Kirchner, and Helmut Fischer "Source detection and separation of tomographic artifacts in nuclear medicine imaging using the concept of weighted scaling indices", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348520

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