Title
Fast bias field reduction by localized Lloyd-Max quantization Fast bias field reduction by localized Lloyd-Max quantization
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
conferenceObject
Publication
San Diego, Calif. :SPIE, [*]
Subject
Physics
Source (book)
Proceedings of SPIE Medical Imaging, San Diego, Calif., USA
ISBN
978-0-8194-7098-0
ISI
000256058600044
General
doi:10.1117/12.770724
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Bias field reduction is a common problem in medical imaging. A bias field usually manifests itself as a smooth intensity variation across the image. The resulting image inhomogeneity is a severe problem for posterior image processing and analysis techniques such as registration or segmentation. In this paper, we present a fast debiasing technique based on localized Lloyd-Max quantization. Thereby, the local bias is modelled as a multiplicative field and is assumed to be slowly varying. The method is based on the assumption that the local, undegraded histogram is characterized by a limited number of gray values. The goal is then to find the discrete intensity values such that spreading those values according to the local bias field reproduces the global histogram as good as possible. We show that our method is capable of efficiently reducing (even strong) bias fields in 3D volumes in only a few seconds.
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