The use of hybrid structural filtering for the detection of obliterative bronchiolitis from computed tomographic images

Bronchiolar obstruction is commonly manifested in computed tomographic (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 such areas 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.