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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 周呈霙(Cheng-Ying Chou) | |
dc.contributor.author | Chun-Wei Lo | en |
dc.contributor.author | 羅鈞瑋 | zh_TW |
dc.date.accessioned | 2021-05-20T21:27:25Z | - |
dc.date.available | 2014-08-22 | |
dc.date.available | 2021-05-20T21:27:25Z | - |
dc.date.copyright | 2011-08-22 | |
dc.date.issued | 2011 | |
dc.date.submitted | 2011-08-19 | |
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Anastasio, M.A., C.Y. Chou, A.M. Zysk, and J.G. Brankov. 2010. Ideal observer analysis of signal detectability in phase-contrast imaging employing linear shift-invariant optical systems. Journal of the Optical Society of America A: Optics and Image Science, and Vision. 27(12): 2648-2659. Ballabriga, R., M. Campbell, E.H.M. Heijne, X. Llopart, and L. Tlustos. 2006. The Medipix3 Prototype, a Pixel Readout Chip Working in Single Photon Counting Mode with Improved Spectrometric Performance. In 'Proc. IEEE Nuclear Science Symposium Conference Record', 3557-3561. San Diego, CA, USA: IEEE. Barrett, H.H., C.K. Abbey, and E. Clarkson. 1998. Objective assessment of image quality. III. ROC metrics, ideal observers, and likelihood-generating functions. Journal of the Optical Society of America A: Optics and Image Science, and Vision. 15(6): 1520-1535. Barrett, H.H. 1990. Objective assessment of image quality: effects of quantum noise and object variability. Journal of the Optical Society of America A: Optics and Image Science, and Vision. 7(7): 1266-1278. Beutel, J., H.L. Kundel, and R.L. Van Metter. 2000. Handbook of Medical Imaging: Physics and Psychophysics. Bellingham: SPIE Press. Bronnikov, A.V. 2002. Theory of quantitative phase-contrast computed tomography. Journal of the Optical Society of America A: Optics and Image Science, and Vision. 19(3): 472-480. Cahn, R.N., D. Nygren, B. Cederstrom, M. Danielsson, A. Hall, and M. Lundqvist. 1999. Detective quantum efficiency dependence on x-ray energy weighting in mammography. Medical Physics. 26(12): 2680-2683. Chou, C.Y. and M.A. Anastasio. 2009. Influence of imaging geometry on noise texture in quantitative in-line X-ray phase-contrast imaging. Optics Express. 17(17): 14466-14480. Chou, C.Y. and M.A. Anastasio. 2010. Noise texture and signal detectability in propagation-based x-ray phase-contrast tomography. Medical Physics. 37(12): 270-281. Cloetens, P. 1999. Contribution to Phase Contrast Imaging, Reconstruction and Tomography with Hard Synchrotron Radiation: Principles, Implementation and Applications. PhD dissertation. Brussel: Vrije Universiteit Brussel, Faculteit Toegepaste Wetenschappen. Gallas, B.D., J.S. Boswell, A. Badano, R.M. Gagne, and K.J. Myers. 2004. An energy- and depth-dependent model for x-ray imaging. Medical Physics. 31(11): 3132-3149. Guigay, J.P. 1977. Fourier transform analysis of Fresnel diffraction patterns and in-line holograms. Optik. 49(1): 121-125. Hotelling, H. 1931. The generalization of Student's ratio. The Annals of Mathematical Statistics. 2(3): 360-378. Langer, M., P. Cloetens, J.P. Guigay, and F. Peyrin. 2008. Quantitative comparison of direct phase retrieval algorithms in in-line phase tomography. Medical Physics. 35(10): 4556-4566. Lundqvist, M. 2003. Silicon strip detectors for scanned multi-slit x-ray imaging. PhD dissertation. Stockholm: Kungliga Tekniska hogskolan, Fysiska Institutionen. Marchal, J.P. 2005. Extension of x-ray imaging linear systems analysis to detectors with energy discrimination capability. Medical Physics. 32(8): 2717-2728. Tapiovaara, M.J. and R.F. Wagner. 1985. SNR and DQE analysis of broad spectrum x-ray imaging. Physics in Medicine and Biology. 30(6): 519-529. Phelps, M.E., E.J. Hoffman, and M. Ter-Pogossian. 1975. Attenuation Coefficients of Various Body Tissues, Fluids, and Lesions at Photon Energies of 18 to 136 keV. Radiology. 117: 573-583. Rolland, J. P. 1990. Factors Influencing Lesion Detection in Medical Imaging. PhD dissertation. USA: University of Arizona. Rolland, J. P. and H. H. Barrett. 1992. Effect of random background inhomogeneity on observer detection performance. Journal of the Optical Society of America A: Optics and Image Science, and Vision. 9(5): 649-658. Siewerdsen, J.H., A.M. Waese, D.J. Moseley, S. Richard, and D.A. Jaffray. 2004. Spektr: A computational tool for x-ray spectral analysis and imaging system optimization. Medical Physics. 31(11): 3057-3067. Wagner, R.F. and D.G. Brown. 1985. Unified SNR analysis of medical imaging systems. Physics in Medicine and Biology. 30(6): 489-518. Wu, X. and H. Liu. 2003. A general theoretical formalism for X-ray phase contrast imaging. Journal of X-Ray Science and Technology. 11(1): 33-42. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/10411 | - |
dc.description.abstract | 相位對比成像法藉由取得相位資訊,以達到提高影像對比度的效果。許多相位對比成像的理論是以單色光作為光源,限制了在實際應用上的可行性,因為傳統的X光管的輸出為含有各種不同能量的多色光。藉由光子計數探測器的可分辨能量特性,讓我們可使用多色光源,並藉由妥善運用多色光含有的資訊,可提升影像的品質。本研究之目標為應用能量加權於相位對比影像之觀察者效能的評估。
比較三種方法計算出的能量加權影像、平均影像和能量積分影像之觀察者效能。能量加權影像和平均影像是由光子計數探測器來測量光強度後,做相位擷取並加權,不同之處在於能量加權影像使用計算出之權重,而平均影像在不同能量之權重皆相等。而能量積分探測器之輸出只有一個光強度數值,相位擷取後直接計算觀察者效能。 計算加權後之相位和吸收影像以及用能量積分探測器計算得到相位和吸收影像之觀察者效能,我們可以評估訊號偵測的效能。以能量加權的方式計算相位和吸收影像,可得到比平均影像較佳的觀察者效能,亦優於使用能量積分探測器所得到的影像。 | zh_TW |
dc.description.abstract | The phase contrast imaging methods utilize phase information to improve image contrast. Many phase-contrast imaging formulas are based on monochromatic light as the light source. Because traditional X-ray tube output is polychromatic, it limits the usage in practical applications. Photon counting detectors can distinguish between different photon energies and their outputs are energy-bin intensity data. The energy-bin of each output channel can be determined by setting the energy threshold of the photon counting detector. The image quality can be enhanced by proper use of the information contained in polychromatic light. The objective of this study is to use energy-weighting technique on phase contrast images, and assess the performance of the observer.
The observer performance of the energy-weighted image, the averaged image and image with energy integrating detectors were compared. We used the weight derived from phase retrieval formulas for a particular energy-bin phase image to get the energy-weighted phase images. The weights of all energy-bin images were the same in the averaged image. By calculating the observer performance of weighted and averaged images with photon counting detectors and the images with the energy integrating detectors, we could evaluate the observer performance of the signal detection. The energy-weighted image was better than the averaged image in observer performance, and was better than the images obtained with the energy integrating detectors. | en |
dc.description.provenance | Made available in DSpace on 2021-05-20T21:27:25Z (GMT). No. of bitstreams: 1 ntu-100-R96631027-1.pdf: 1019097 bytes, checksum: 46bd9a236a09b3b07d81b56cd91e5752 (MD5) Previous issue date: 2011 | en |
dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract iii 目錄 iv 圖目錄 vi 表目錄 vii 第一章 前言 1 第二章 文獻探討 2 2.1 相位對比成像法 2 2.1.1 對比轉移方程式 4 2.1.2 混合法 5 2.2 能量加權 6 2.3 訊號偵測 7 2.3.1 理想觀察者 8 2.3.2 Hotelling觀察者 10 2.4 塊狀背景 11 第三章 研究方法 13 3.1 相位對比影像之能量加權 13 3.2 觀察者效能模擬 15 第四章 結果與討論 20 4.1 能量加權後之相位對比影像 23 4.2 觀察者效能分析 28 第五章 結論 33 參考文獻 35 | |
dc.language.iso | zh-TW | |
dc.title | 應用能量加權於X光相位對比影像之觀察者效能評估 | zh_TW |
dc.title | Application of Energy-Weighting on Observer Performance Assessment in X-ray Phase-Contrast Imaging | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 許靖涵(Ching-Han Hsu),陳志成(Jyh-Cheng Chen) | |
dc.subject.keyword | X光,相位對比,能量加權,訊號偵測, | zh_TW |
dc.subject.keyword | x-ray,phase contrast,energy-weighting,signal detection, | en |
dc.relation.page | 37 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2011-08-19 | |
dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
dc.contributor.author-dept | 生物產業機電工程學研究所 | zh_TW |
顯示於系所單位: | 生物機電工程學系 |
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