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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 鍾孝文(Hsiao-Wen Chung) | |
dc.contributor.author | Shu-Min Yiang | en |
dc.contributor.author | 楊淑敏 | zh_TW |
dc.date.accessioned | 2021-06-15T02:26:00Z | - |
dc.date.available | 2009-08-21 | |
dc.date.copyright | 2009-08-21 | |
dc.date.issued | 2009 | |
dc.date.submitted | 2009-08-17 | |
dc.identifier.citation | References
1. Chowdhury, F. and A. Scarsbrook (2008). 'The role of hybrid SPECT-CT in oncology: current and emerging clinical applications.' Clinical Radiology 63(3): 241-251. 2. Beyer, T., M. Weigert, et al. (2008). 'MR-based attenuation correction for torso-PET/MR imaging: pitfalls in mapping MR to CT data.' European Journal of Nuclear Medicine and Molecular Imaging 35(6): 1142-1146 3. Alavi, A. and L. Hirsch (1991). Studies of central nervous system disorders with single photon emission computed tomography and positron emission tomography: evolution over the past 2 decades. 4. Rohren, E., T. Turkington, et al. (2004). Clinical Applications of PET in Oncology 1, RSNA. 231: 305-332. 5. Hofmann, M., F. Steinke, et al. (2008). 'MRI-based attenuation correction for PET/MRI: a novel approach combining pattern recognition and atlas registration.' Journal of Nuclear Medicine 49(11): 1875. 6. Judenhofer, M., C. Catana, et al. (2007). 'PET/MR images acquired with a compact MR-compatible PET detector in a 7-T magnet.' Radiology 244(3): 807. 7. Kinahan, P., B. Hasegawa, et al. (2003). X-ray-based attenuation correction for positron emission tomography/computed tomography scanners,” Seminars in Nuclear Medicine 33(3): 166-179. 8. Kinahan, P., D. Townsend, et al. (1998). 'Attenuation correction for a combined 3D PET/CT scanner.' Medical Physics 25: 2046. 9. Zaidi, H. (2007). 'Is MR-guided attenuation correction a viable option for dual-modality PET/MR imaging?' Radiology 244(3): 639. 10. Hofmann, M., F. Steinke, et al. (2007). 'A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images.' European Journal of Nuclear Medicine and Molecular Imaging 49: 1-12. 11. Martinez-Moller, A., M. Souvatzoglou, et al. (2009). 'Tissue Classification as a Potential Approach for Attenuation Correction in Whole-Body PET/MRI: Evaluation with PET/CT Data.' Journal of Nuclear Medicine 50(4): 520. 12. Kops, E. and H. Herzog (2007). “Alternative methods for attenuation correction for PET images in MR-PET scanners.” IEEE Nuclear Medicine Science Symposium Conference Record. 13. http://www.fzd.de/db/Cms?pNid=372 14. http://www.yonsei.ac.kr/data/ | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/43686 | - |
dc.description.abstract | The purpose of this study was to investigate the toolbox based on the attenuation correction algorithm proposed by Thomas Beyer at el. in 2008 which seems to be useful for PET image reconstruction using MRI data in the brain. We retrospectively included six patients who had MRI examination and the FDG PET/CT scan. Histogram-matching algorithm was applied to transform the MR images to the so-called “pseudo-CT” images which are simulated as attenuation correction map for PET image reconstruction. The two model corrected PET images were visually analyzed and SUV were compared.
The results showed better image quality and good correlation of SUV analysis on both supra-tentorial brain images than on infra-tentorial brain images. It is therefore the intensity transformation method seems to provide a simple way to transform the MR images to pseudo-CT for the attenuation correction of PET images in PET/MR, but needs more technical implementation to solve some pitfalls in the future. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T02:26:00Z (GMT). No. of bitstreams: 1 ntu-98-R96945032-1.pdf: 3233499 bytes, checksum: d8f85f05dd81511c610c5d67447e642a (MD5) Previous issue date: 2009 | en |
dc.description.tableofcontents | Content
口試委員會審定書……………………………………………………………… Ⅰ 致謝……………………………………………………………………………… Ⅱ 中文摘要………………………………………………………………………… Ⅳ 英文摘要………………………………………………………………………… Ⅴ 1 Introduction………………………………………………………………….1 1.1 Overview……………………………………………………………….1 1.2 PET, CT and MR Images……………………………………………..2 1.3 The Hybrid Image System………………………………………….… .6 2 Attenuation Correction of PET Images……………………………………8 2.1 Attenuation Correction……………………………………………….8 2.2 Attenuation Correction Methods for PET…………………………11 2.3 Attenuation Correction PET/MRI……………………………………13 3 Materials and Methods…………………………………………………….15 3.1 Patient Information and Image Data……………………………………....15 3.1.1 Patient population………………………………………………15 3.1.2 PET/CT and MRI Image Acquisition………………………..16 3.1.3 Data Processing………………………………………….…...16 3.2 The CT and MR Images Transformation…………………….……………19 3.3 Qualitative and Semiquantitative Statistic Analysis……………………....25 3.3.1 Qualitative Analysis………………………………………..…..25 3.3.2 Semi-quantitative Statistic Analysis………………….……..25 4 Results…………………………………………………………………….…….28 4.1 The Impact of Bin Numbers of Histogram……………………….……….28 4.2 Images Visualization…………………………………………………..…..31 4.3 Statistical Analysis…………………………………………………….......41 5 Discussion and Conclusion………………………………………….…...….…..43 5.1 Using Look Up Table to generate Pseudo–CT…………………………….43 5.2 Bone Impaction …………………………………………………..……….44 5.3 Maximum and Mean SUV Values……………………………………..…..44 5.4 Future Work……………………………………………………………...46 5.5 Conclusion…………………………………………………………47 Reference………………………………………………………………………….48 | |
dc.language.iso | en | |
dc.title | 利用磁振造影腦部影像模擬X光電腦斷層影像衰減係數校正圖譜應用於正子電腦斷層暨磁振造影雙功能掃描系統 | zh_TW |
dc.title | Hybrid PET/MRI Brain Imaging Using MRI as CT-Simulated Attenuation Map | en |
dc.type | Thesis | |
dc.date.schoolyear | 97-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 吳文超(Wen-Chau Wu),蔡尚岳(Sheng-Yu Tseng),程紹智(Shao-Chih Cheng),樊裕明(Yu-Min Fan) | |
dc.subject.keyword | PET/MRI,PET/CT,衰減校正,雙功能影像造影系統, | zh_TW |
dc.subject.keyword | PET/MRI,Attenuation Correction,PET/CT,The Hybrid Image System, | en |
dc.relation.page | 48 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2009-08-18 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 生醫電子與資訊學研究所 | zh_TW |
顯示於系所單位: | 生醫電子與資訊學研究所 |
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