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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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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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.
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駱榮欽 |
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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 |
work_keys_str_mv |
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