CT and SPECT Brain Image Co-Registration Using Image Features Based on Mutual Information and CT Interpolation

碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 93 === According to formation image, the medical image can be divided into two major classes that are anatomical image and functional image. Magnetic resonance image (MRI) and computed tomography (CT) belong to the anatomical image, which can show an outline of an or...

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Main Authors: Chia-Lung Yeh, 葉佳龍
Other Authors: 駱榮欽
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/8d2sru
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spelling ndltd-TW-093TIT056520122019-05-31T03:35:54Z http://ndltd.ncl.edu.tw/handle/8d2sru CT and SPECT Brain Image Co-Registration Using Image Features Based on Mutual Information and CT Interpolation SPECT基於互資訊和內插CT下應用影像特徵做CT與腦部影像對位 Chia-Lung Yeh 葉佳龍 碩士 國立臺北科技大學 電腦與通訊研究所 93 According to formation image, the medical image can be divided into two major classes that are anatomical image and functional image. Magnetic resonance image (MRI) and computed tomography (CT) belong to the anatomical image, which can show an outline of an organ and a tissue clearly. The functional image can show the image of the organ and the tissue metabolism situation. Positron emission tomography (PET) and single photon emission computed tomography (SPECT) are also part of the functional image. Obviously, combining the functional and anatomical image can offer more information to doctors who make diagnoses. These images benefit the diagnosis for diseases so the doctors can provide better treatment for their patients. Moreover, the combination of these two images that we deal with by image process of the computer, called image co-registration. Because of the fast computer technology development, people nowadays have high speed computer and powerful computer but cheaper. In the study, we aim at the CT image and SPECT image to registration mainly and adopt interpolationing CT image to improve the system..First, intra-subject registration utilizes ideal Mid-Sagittal Plane Algorithm (iMSP) and image interpolation. IMSP is used to adjust the skew image into symmetry to the straight mid-line in the brain. Utilizing image interpolation based on DICOM information to produce several interpolationing images in the Z-axis can provide more image information to process. Second of all, the inter-subject registration utilizes the mutual information (MI), which regulates the result from the intra-subject registration so that the accurate adjustment can be made. According to an actual example, adopt interpolationing CT image can improve the registration accurate. Finally, a co-registration system with window-based interface built by Borland C++ Builder is introduced. 駱榮欽 2005 學位論文 ; thesis 81 en_US
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language en_US
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sources NDLTD
description 碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 93 === According to formation image, the medical image can be divided into two major classes that are anatomical image and functional image. Magnetic resonance image (MRI) and computed tomography (CT) belong to the anatomical image, which can show an outline of an organ and a tissue clearly. The functional image can show the image of the organ and the tissue metabolism situation. Positron emission tomography (PET) and single photon emission computed tomography (SPECT) are also part of the functional image. Obviously, combining the functional and anatomical image can offer more information to doctors who make diagnoses. These images benefit the diagnosis for diseases so the doctors can provide better treatment for their patients. Moreover, the combination of these two images that we deal with by image process of the computer, called image co-registration. Because of the fast computer technology development, people nowadays have high speed computer and powerful computer but cheaper. In the study, we aim at the CT image and SPECT image to registration mainly and adopt interpolationing CT image to improve the system..First, intra-subject registration utilizes ideal Mid-Sagittal Plane Algorithm (iMSP) and image interpolation. IMSP is used to adjust the skew image into symmetry to the straight mid-line in the brain. Utilizing image interpolation based on DICOM information to produce several interpolationing images in the Z-axis can provide more image information to process. Second of all, the inter-subject registration utilizes the mutual information (MI), which regulates the result from the intra-subject registration so that the accurate adjustment can be made. According to an actual example, adopt interpolationing CT image can improve the registration accurate. Finally, a co-registration system with window-based interface built by Borland C++ Builder is introduced.
author2 駱榮欽
author_facet 駱榮欽
Chia-Lung Yeh
葉佳龍
author Chia-Lung Yeh
葉佳龍
spellingShingle Chia-Lung Yeh
葉佳龍
CT and SPECT Brain Image Co-Registration Using Image Features Based on Mutual Information and CT Interpolation
author_sort Chia-Lung Yeh
title CT and SPECT Brain Image Co-Registration Using Image Features Based on Mutual Information and CT Interpolation
title_short CT and SPECT Brain Image Co-Registration Using Image Features Based on Mutual Information and CT Interpolation
title_full CT and SPECT Brain Image Co-Registration Using Image Features Based on Mutual Information and CT Interpolation
title_fullStr CT and SPECT Brain Image Co-Registration Using Image Features Based on Mutual Information and CT Interpolation
title_full_unstemmed CT and SPECT Brain Image Co-Registration Using Image Features Based on Mutual Information and CT Interpolation
title_sort ct and spect brain image co-registration using image features based on mutual information and ct interpolation
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/8d2sru
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