The 3-D Reconstruction of Serial Cross-sectional Medical Images by Wavelet Transform

• Main Authors: Wen-Lin Chang, 張文林
• Other Authors: Jiann-Der Lee
• Format: Others
• Language: en_US
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/14587243383456860214

碩士 === 長庚大學 === 電機工程研究所 === 86 === The usual image modalities include Ultrasound, X-ray, Computed Tomography (CT), Nuclear Magnetic Resonance Imaging (MRI), etc. To obtain the geometrical structure of anatomical changes, the 3-D reconstruction of the interesting organ shape from a series of cross-sectional images is often needed. Although the techniques of 3-D image reconstruction have been widely studied in usual, but it still plays an important role in the integrated medical diagnosis system. With the capability of 3-D visualization, this system can offer the doctors a good suggestion when diagnosing patient or performing an operation. In this thesis, a novel approach based on wavelet transform is proposed for 3-D image reconstruction from a series of cross-sectional medical images. In addition, the proposed method is used to serve as a part of an image processing system developed for medical applications. More specifically, this system provides the functions such as image preprocessing, the 3-D reconstruction, visual representation. All of these functions are integrated in a utilized software under the windows-based operation environment. Finally, some applications and concepts of wavelet transform in image compression, pattern recognition and fast computation are also included.