Registration and Fusion of Basal Ganglion CT images and Stereotactic Atlas

碩士 === 長庚大學 === 電機工程研究所 === 87 === In the clinical application of surgery, mini-invasive procedures have attracted the attention of surgeons since it can extract targeted tissue while minmizing damage to adjacent structures. The difficulty of this three-dimensional (3-D) localization is i...

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Bibliographic Details
Main Authors: Yueng Cheng Chang, 張永成
Other Authors: 李建德
Format: Others
Language:zh-TW
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/72049107579447582331
Description
Summary:碩士 === 長庚大學 === 電機工程研究所 === 87 === In the clinical application of surgery, mini-invasive procedures have attracted the attention of surgeons since it can extract targeted tissue while minmizing damage to adjacent structures. The difficulty of this three-dimensional (3-D) localization is increased by the fact that it often requires isolating a structure deeply buried within the body. While methods exist for imaging and displaying the 3-D structure of the body, the surgeon must still relate what he sees on the 3-D display with the patient's actual anatomy. Current methods often involve a surgeon simply utilizing traditional two dimensional (2-D) slices of MRI or CT imagery and mentally transforming them to the actual patient. Thus, there is a clear need for registered visualization techniques, where 3-D reconstruction of internal anatomy is overlaid with the surgeon's view of the patient, so that he can directly visualize important structures, and act accordingly. In this thesis, we propose a new scheme for 3-D registration and fusion of the computerized stereotactic atlas and computered tomography(CT) slices. Various interpolation methods have been investigated to fill the gap between the original atlas and CT slices. Based on 3-D geometrical analysis, the localization and correction algorithms are used to derive the accurate position of the desired target in the surgery. In summary, the following tasks have been accomplished in the thesis. (1) 3D reconstruction of brain atlas. (2) 3D reconstruction of brain CT images. (3) Registration of brain atlas and brain CT images. (4) Fusion of brain atlas and brain CT images. (5) Localization of targeted tissue in the brain. This developed system can provide the accurate location of targeted tissue for driving the probe to the optimal treatment position. The success of this scheme is helpful in automating the surgery system and improving the quality and efficiency of the surgery.