@inproceedings{439447479499470492b3eadb09986978,
title = "Enhancement of noisy planar nuclear medicine images using mean field annealing",
abstract = "Nuclear medicine (NM) images inherently suffer from large amounts of noise and blur. The purpose of this research is to reduce the noise and blur while maintaining image integrity for improved diagnosis. The proposed solution is to increase image quality after the standard pre- and postprocessing undertaken by a gamma camera system. Mean Field Annealing (MFA) is the image processing technique used in this research. It is a computational iterative technique that makes use of the Point Spread Function (PSF) and the noise associated with the NM image. MFA is applied to NM images with the objective of reducing noise while not compromising edge integrity. Using a sharpening filter as a post-processing technique (after MFA) yields image enhancement of planar NM images.",
keywords = "Image restoration, Mean field annealing, Nuclear medicine",
author = "Daniyel Falk and Rubin, {D. M.} and T. Marwala",
note = "Publisher Copyright: {\textcopyright} International Federation for Medical and Biological Engineering 2007.; 10th World Congress on Medical Physics and Biomedical Engineering, WC 2006 ; Conference date: 27-08-2006 Through 01-09-2006",
year = "2007",
doi = "10.1007/978-3-540-36841-0_609",
language = "English",
isbn = "9783540368397",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
number = "1",
pages = "2415--2418",
editor = "Kim, {Sun I.} and Suh, {Tae Suk}",
booktitle = "IFMBE Proceedings",
address = "Germany",
edition = "1",
}