Recently, the development of multi-row multi-slice CT scanner proves precise measure of whole lung area in short time period. The Ct scanner improves spatial resolution along z-axis and time resolution. Therefore, this CT image is effective for diagnosis of lung cancer as well as the other lung lesions, and leads the early detection. For clinical decision, lung lesion diagnosis requires the lung area detection. Pulmonary fissure part is one of important organs to identify lung area. This paper presents an algorithm of accuracy and automatic pulmonary extraction fissure based on the search area specification of pulmonary fissure, and accuracy pulmonary fissure extraction effectiveness of low-dose and high resolution multi-slice CT image. The usefulness of the proposed algorithm is demonstrated by using twenty clinical data sets.© (2004) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.