CT image enhancement with wavelet analysis for the detection of small airways disease

IEEE Transactions on Medical Imaging
G Z Yang, D M Hansell

Abstract

Bronchiolar obstruction is commonly manifested in computed tomography (CT) images as areas of decreased attenuation relative to adjacent normal lung parenchyma. The certain identification of such areas is difficult in practice, particularly if they are poorly marginated. This paper presents a novel approach to the enhancement of feature differences between normal and diseased lung parenchyma so that reliable visual assessment can be made. The method relies on a hybrid structural filtering technique which removes pulmonary vessels appearing in the CT cross-sectional images without affecting intrinsic subtle intensity details of the lung parenchyma. In order to restore possible structural distortions introduced by the hybrid filter, a feature localization process based on wavelet reconstruction of feature extrema is used. After contrast enhancement the resultant images are used to delineate region borders of the diseased areas and quantification is made with regard to the extent of the disease.

References

Feb 1, 1971·Annals of Internal Medicine·P T MacklemR G Fraser
Feb 1, 1983·Chest·G R Epler, T V Colby
Nov 1, 1980·Radiology·L J RosenblumE R Heitzman
Apr 1, 1987·IEEE Transactions on Pattern Analysis and Machine Intelligence·R M HaralickX Zhuang

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Citations

Dec 16, 1998·The British Journal of Radiology·G Z YangD M Hansell
Apr 13, 2006·IEEE Transactions on Medical Imaging·Arnold M R SchilhamMathias Prokop
Oct 4, 2000·IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society·D M Hansell
Oct 5, 2001·IEEE Transactions on Medical Imaging·F ChabatG Z Yang
Nov 18, 2005·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Laetitia PastorBruno Kastler
Nov 9, 2001·Radiologic Clinics of North America·D M Hansell

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