| 书目名称 | X-Ray Phase-Contrast Tomography |
| 副标题 | Underlying Physics a |
| 编辑 | Luca Brombal |
| 视频video | |
| 概述 | Nominated as an outstanding PhD thesis by the Italian National Institute of Nuclear Physics and the University of Trieste.Makes important contribution to the optimization of x-ray tomography using syn |
| 丛书名称 | Springer Theses |
| 图书封面 |  |
| 描述 | X-ray imaging is a corner stone of breast cancer diagnosis. By exploiting the phase shift of X-rays rather than their attenuation, phase-contrast tomography has the potential to dramatically increase the visibility of small and low contrast features, thus leading to better diagnosis. This thesis presents research on the first synchrotron-based project developing a clinical phase-contrast breast computed tomography (CT) setup at Elettra, the Italian Syncrotron Radiation Facility. This book includes a comprehensive theoretical background on propagation-based phase-contrast imaging, exploring and extending the most recent image formation models. Along with theory, many practical implementation and optimization issues, ranging from detector-specific processing to setup geometry, are tackled on the basis of a large number of experimental evidences. Most of the modelling results and data analysis have general validity, being a valuable framework for optimization of phase-contrast setups. Results obtained at synchrotron are also compared with "real world" laboratory sources: both a first-of-its-kind comparison with one of the few hospital breast CT systems and a state-of-the-art implement |
| 出版日期 | Book 2020 |
| 关键词 | X-Ray Phase Contrast; Phase-Contrast Tomography; Breast CT; Computed Tomography; Synchrotron Radiation; P |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-60433-2 |
| isbn_softcover | 978-3-030-60435-6 |
| isbn_ebook | 978-3-030-60433-2Series ISSN 2190-5053 Series E-ISSN 2190-5061 |
| issn_series | 2190-5053 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:03:53
