Knowledge-Based Deformable Matching for Pathology Detection
Mei Chen · 1997
Image registration is the process of matching corresponding features between images. Medical images present a challenge for registration because the same anatomical features vary considerably in appearance across individuals, and any pathology may aggravate the variation. We propose a registration method that uses knowledge of anatomy to cope with variations in the appearance of corresponding features and to help detect pathologies. The same anatomical feature may have a different density, shape, and size across individuals, but there exists a normal range of variation. Various clinical conditions may affect the gross anatomical morphology, but certain pathologies have characteristic impacts on the anatomy. Traditional registration methods do not seek guidance from this domain knowledge, and they fail to yield accurate registrations because medical images have complicated shapes, non-uniform textures, and ill-defined boundaries. Our algorithm will attempt to apply domain know...