An image analysis method for quantification of idiopathic pulmonary fibrosis

摘要

Diagnosis of IPF (idiopathic pulmonary fibrosis) is based on clinical, radiographic and histopathologic evaluations. In this paper we present an adaptive thresholding algorithm and utilize quantitative CT indexes to correlate IPF with pulmonary abnormality. Simulation results demonstrate that this algorithm performs well in identified IPF images. However the absence of gold standards makes quantification challenging for early stage images of IPF and blinded images.