A novel bone suppression method that improves lung nodule detection : Suppressing dedicated bone shadows in radiographs while preserving the remaining signal

International Journal of Computer Assisted Radiology and Surgery
Jens von BergTomás Franquet

Abstract

Suppressing thoracic bone shadows in chest radiographs has been previously reported to improve the detection rates for solid lung nodules, however at the cost of increased false detection rates. These bone suppression methods are based on an artificial neural network that was trained using dual-energy subtraction images in order to mimic their appearance. Here, a novel approach is followed where all bone shadows crossing the lung field are suppressed sequentially leaving the intercostal space unaffected. Given a contour delineating a bone, its image region is spatially transferred to separate normal image gradient components from tangential component. Smoothing the normal partial gradient along the contour results in a reconstruction of the image representing the bone shadow only, because all other overlaid signals tend to cancel out each other in this representation. The method works even with highly contrasted overlaid objects such as a pacemaker. The approach was validated in a reader study with two experienced chest radiologists, and these images helped improving both the sensitivity and the specificity of the readers for the detection and localization of solid lung nodules. The AUC improved significantly from 0.596 to 0.65...Continue Reading

References

Jul 25, 2006·Medical Image Analysis·M LoogA M R Schilham
Jul 25, 2013·IEEE Transactions on Medical Imaging·Laurens HogewegBram van Ginneken
Oct 12, 2013·European Journal of Radiology·Steven SchalekampCornelia M Schaefer-Prokop
Oct 4, 2014·PloS One·Steven SchalekampCornelia M Schaefer-Prokop

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Citations

Jan 29, 2020·Current Medical Imaging Reviews·Shabana Rasheed ZiyadThavavel Vayyapuri
Mar 28, 2017·Scientific Reports·Kai SchererJulia Herzen

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