A Workstation-based Image Analysis System for 3-D Biliary Reconstruction

碩士 === 國立成功大學 === 資訊及電子工程研究所 === 83 === ERCP is one of the most widely used tools for investigating biliary disease in clinical medicine. Traditionally, physi- cians usually visually identify 3-D biliary tree structure from 2-D X-ray films....

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Bibliographic Details
Main Authors: Wu ,Su-Shin, 吳肅新
Other Authors: Yung-Nien Sun
Format: Others
Language:zh-TW
Published: 1995
Online Access:http://ndltd.ncl.edu.tw/handle/65046434897066841146
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Summary:碩士 === 國立成功大學 === 資訊及電子工程研究所 === 83 === ERCP is one of the most widely used tools for investigating biliary disease in clinical medicine. Traditionally, physi- cians usually visually identify 3-D biliary tree structure from 2-D X-ray films. Unfortunately, diagnosis results based on human observation often vary from person to person and from time to time. In order to improve the disadvatange and inconvenience of the traditional approach,we use the biplane reconstruction technique to build a workstation-based image analysis system for 3-D biliary reconstruction. The entire system was developed on SUN 4 Sparc workstation under OPEN WINDOWS operating environment using C language. Our system provides many convenient and efficient operations to recon- struct the 3-D biliary tree structure, the physicians can quickly understand the whole 3-D biliary tree structure by using our system. It can be used to aid the diagnosis of the biliary disease. Our system is a 3-D biliary reconstruction system based on the biplane reconstruction technique. The entire system can be decomposed into following procedures. At first, two orthogonal biliary tract images are acquired as patients receive ERCP. A series of operations are perform ed, including image segmentation, alignment, thinning, feature extraction of 2-D biliary segment, segment matching, 3-D biliary reconstruction, surface interpolation, shading and rendering. After the fulfillment of the proposed system, 3-D biliary reconstruction can be finished in an efficient manner, and the physicians can observe the 3-D structure of the biliary tree with simple operations.