Mammographic image restoration using maximum entropy deconvolution

Jannetta, Adrian, Jackson, John, Birch, Ian, Kotre, John, Robson, Kevin and Padgett, Rod (2004) Mammographic image restoration using maximum entropy deconvolution. Physics in Medicine and Biology, 49 (21). pp. 4997-5010. ISSN 0031-9155

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Jannetta A, Jackson JC, Kotre CJ, Birch IP, Robson KJ - Mammographic image restoration using maximum entropy deconvolution - postprint.pdf

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Official URL: http://dx.doi.org/10.1088/0031-9155/49/21/011

Abstract

Bayesian maximum entropy method (MEM) has been applied to a radiological image deconvolution problem, that of reduction of geometric blurring in magnification mammography. The aim of the work is to demonstrate an improvement in image spatial resolution in realistic noisy radiological images with no associated penalty in terms of reduction in the signal-to-noise ratio perceived by the observer. Images of the TORMAM mammographic image quality phantom were recorded using the standard magnification settings of 1.8 magnification/fine focus and also at 1.8 magnification/broad focus and 3.0 magnification/fine focus; the latter two arrangements would normally give rise to unacceptable geometric blurring. Measured point-spread functions were used in conjunction with the MEM image processing to de-blur these images. The results are presented as comparative images of phantom test features and as observer scores for the raw and processed images. Visualization of high resolution features and the total image scores for the test phantom were improved by the application of the MEM processing. It is argued that this successful demonstration of image de-blurring in noisy radiological images offers the possibility of weakening the link between focal spot size and geometric blurring in radiology, thus opening up new approaches to system optimization.

Item Type: Article
Additional Information: This is an author-created, un-copyedited version of an article accepted for publication in Physics in Medicine and Biology. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher authenticated version is available online at 10.1088/0031-9155/49/21/011. One outcome of a PhD project (A. Jannetta) undertaken in collaboration with Regional Medical Physics Department, Newcastle General Hospital. Supported by a Royal Society Research Grant (574006.G503/23863/SM, 2003). Applies techniques developed in astronomy based upon iterated forward maps, particularly the maximum entropy method, to medical imaging, particularly magnification mammography, used for recall patients after breast cancer screening. Due to the finite extent of the X-ray source, these images can be blurred; we demonstrate deblurring and improved signal-to-noise ratio, and the feasibilty of using higher magnification factors. PMB is a leading European journal, impact factor 2.873.
Subjects: A300 Clinical Medicine
F300 Physics
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: EPrint Services
Date Deposited: 20 Nov 2008 15:50
Last Modified: 13 May 2017 20:43
URI: http://nrl.northumbria.ac.uk/id/eprint/2580

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