Eliminating rib shadows in chest radiographic images providing diagnostic assistance

Computer Methods and Programs in Biomedicine
Hasan OğulEmre Sümer

Abstract

A major difficulty with chest radiographic analysis is the invisibility of abnormalities caused by the superimposition of normal anatomical structures, such as ribs, over the main tissue to be examined. Suppressing the ribs with no information loss about the original tissue would therefore be helpful during manual identification or computer-aided detection of nodules on a chest radiographic image. In this study, we introduce a two-step algorithm for eliminating rib shadows in chest radiographic images. The algorithm first delineates the ribs using a novel hybrid self-template approach and then suppresses these delineated ribs using an unsupervised regression model that takes into account the change in proximal thickness (depth) of bone in the vertical axis. The performance of the system is evaluated using a benchmark set of real chest radiographic images. The experimental results determine that proposed method for rib delineation can provide higher accuracy than existing methods. The knowledge of rib delineation can remarkably improve the nodule detection performance of a current computer-aided diagnosis (CAD) system. It is also shown that the rib suppression algorithm can increase the nodule visibility by eliminating rib shado...Continue Reading

References

May 13, 2006·IEEE Transactions on Medical Imaging·Marco Loog, Bram van Ginneken
Jun 6, 2006·Journal of Digital Imaging·Chen ShuyueXu Xiaomin
Jul 13, 2006·Journal of Biomechanics·Marcus MohrMichael Bottlang
Jan 1, 1995·IEEE Transactions on Medical Imaging·Z YueL V Ackerman
Jul 17, 2009·European Journal of Radiology·Bram van GinnekenMathias Prokop
Sep 4, 2010·IEEE Transactions on Medical Imaging·Meindert NiemeijerBram van Ginneken

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Citations

Apr 1, 2021·Computer Methods and Programs in Biomedicine·Satyavratan Govindarajan, Ramakrishnan Swaminathan

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