3D Image Reconstruction for CT and PET: A Practical Guide with Python
暫譯: CT與PET的3D影像重建：使用Python的實用指南
Panetta, Daniele, Camarlinghi, Niccolo
商品描述
This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of guiding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will be invaluable for graduate students and early-career researchers and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction.
- A top-down guide from theory to practical implementation of PET and CT reconstruction methods, without sacrificing the rigor of mathematical background
- Accompanied by Python source code snippets, suggested exercises, and supplementary ready-to-run examples for readers to download from the CRC Press website
- Ideal for those willing to move their first steps on the real practice of image reconstruction, with modern scientific programming language and toolsets
Daniele Panetta is a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and specialisation diploma in Health Physics in 2008, both at the University of Pisa. From 2005 to 2007, he worked at the Department of Physics "E. Fermi" of the University of Pisa in the field of tomographic image reconstruction for small animal imaging micro-CT instrumentation. His current research at CNR-IFC has as its goal the identification of novel PET/CT imaging biomarkers for cardiovascular and metabolic diseases. In the field micro-CT imaging, his interests cover applications of three-dimensional morphometry of biosamples and scaffolds for regenerative medicine. He acts as reviewer for scientific journals in the field of Medical Imaging: Physics in Medicine and Biology, Medical Physics, Physica Medica, and others. Since 2012, he is adjunct professor in Medical Physics at the University of Pisa.
Niccol Camarlinghi is a researcher at the University of Pisa. He obtained his MSc in Physics in 2007 and his PhD in Applied Physics in 2012. He has been working in the field of Medical Physics since 2008 and his main research fields are medical image analysis and image reconstruction. He is involved in the development of clinical, pre-clinical PET and hadron therapy monitoring scanners. At the time of writing this book he was a lecturer at University of Pisa, teaching courses of life-sciences and medical physics laboratory. He regularly acts as a referee for the following journals: Medical Physics, Physics in Medicine and Biology, Transactions on Medical Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP Journal on Image and Video Processing, Journal of Biomedical and Health Informatics.
商品描述(中文翻譯)
這是一本關於使用投影數據進行斷層影像重建的實用指南，重點放在計算機斷層掃描（Computed Tomography, CT）和正電子發射斷層掃描（Positron Emission Tomography, PET）。本書介紹了經典方法，如反投影法（FBP）、代數重建技術（ART）、迭代重建技術（SIRT）、最大似然估計法（MLEM）和最優期望最大化法（OSEM），並以現代且簡潔的符號表示，主要目的是引導讀者從數學背景的理解快速進入實踐和算法的計算機實現。配有示例數據集、可立即運行的 Python 工具集和腳本，以及該領域最新研究的概述，本指南對於醫學物理和生物醫學工程領域的研究生和早期職業研究人員及科學家，特別是影像重建領域的初學者，將是非常寶貴的資源。
- 從理論到實踐的自上而下指南，涵蓋 PET 和 CT 重建方法，並不犧牲數學背景的嚴謹性
- 附有 Python 源代碼片段、建議練習和補充的可立即運行示例，供讀者從 CRC Press 網站下載
- 非常適合那些希望在影像重建的實際操作中邁出第一步的人，使用現代科學編程語言和工具集
**Daniele Panetta** 是意大利國家研究委員會（CNR-IFC）臨床生理學研究所的研究員，工作地點在比薩。他於 2004 年獲得物理學碩士學位，並於 2008 年在比薩大學獲得健康物理學專業文憑。從 2005 年到 2007 年，他在比薩大學的「E. Fermi」物理系從事小動物影像微型 CT 儀器的斷層影像重建研究。他目前在 CNR-IFC 的研究目標是識別心血管和代謝疾病的新型 PET/CT 影像生物標記。在微型 CT 影像領域，他的興趣涵蓋生物樣本和再生醫學支架的三維形態測量應用。他擔任醫學影像領域的科學期刊審稿人，包括《Physics in Medicine and Biology》、《Medical Physics》、《Physica Medica》等。自 2012 年以來，他在比薩大學擔任醫學物理的兼任教授。
**Niccolò Camarlinghi** 是比薩大學的研究員。他於 2007 年獲得物理學碩士學位，並於 2012 年獲得應用物理學博士學位。自 2008 年以來，他一直在醫學物理領域工作，主要研究領域為醫學影像分析和影像重建。他參與臨床和前臨床 PET 及重離子治療監測掃描儀的開發。在撰寫本書時，他是比薩大學的講師，教授生命科學和醫學物理實驗室課程。他定期擔任以下期刊的審稿人：《Medical Physics》、《Physics in Medicine and Biology》、《Transactions on Medical Imaging》、《Computers in Biology and Medicine》、《Physica Medica》、《EURASIP Journal on Image and Video Processing》、《Journal of Biomedical and Health Informatics》。
作者簡介
Daniele Panetta is a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and specialisation diploma in Health Physics in 2008, both at the University of Pisa. From 2005 to 2007, he worked at the Department of Physics "E. Fermi" of the University of Pisa in the field of tomographic image reconstruction for small animal imaging micro-CT instrumentation. His current research at CNR-IFC has as its goal the identification of novel PET/CT imaging biomarkers for cardiovascular and metabolic diseases. In the field micro-CT imaging, his interests cover applications of three-dimensional morphometry of biosamples and scaffolds for regenerative medicine. He acts as reviewer for scientific journals in the field of Medical Imaging: Physics in Medicine and Biology, Medical Physics, Physica Medica, and others. Since 2012, he is adjunct professor in Medical Physics at the University of Pisa.
Niccolò Camarlinghi is a researcher at the University of Pisa. He obtained his MSc in Physics in 2007 and his PhD in Applied Physics in 2012. He has been working in the field of Medical Physics since 2008 and his main research fields are medical image analysis and image reconstruction. He is involved in the development of clinical, pre-clinical PET and hadron therapy monitoring scanners. At the time of writing this book he was a lecturer at University of Pisa, teaching courses of life-sciences and medical physics laboratory. He regularly acts as a referee for the following journals: Medical Physics, Physics in Medicine and Biology, Transactions on Medical Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP Journal on Image and Video Processing, Journal of Biomedical and Health Informatics.
作者簡介(中文翻譯)
Daniele Panetta 是義大利國家研究委員會 (CNR-IFC) 皮薩臨床生理學研究所的研究員。他於2004年在皮薩大學獲得物理學碩士學位，並於2008年獲得健康物理學專業文憑。從2005年到2007年，他在皮薩大學的「E. Fermi」物理系工作，專注於小動物成像微型CT儀器的斷層影像重建領域。他目前在CNR-IFC的研究目標是識別心血管和代謝疾病的新型PET/CT影像生物標記。在微型CT成像領域，他的興趣涵蓋生物樣本和再生醫學支架的三維形態計量應用。他擔任醫學影像領域科學期刊的審稿人，包括《Physics in Medicine and Biology》、《Medical Physics》、《Physica Medica》等。自2012年以來，他擔任皮薩大學醫學物理的兼任教授。
Niccolò Camarlinghi 是皮薩大學的研究員。他於2007年獲得物理學碩士學位，並於2012年獲得應用物理學博士學位。自2008年以來，他一直在醫學物理領域工作，主要研究領域為醫學影像分析和影像重建。他參與臨床和前臨床PET及重子治療監測掃描儀的開發。在撰寫本書時，他是皮薩大學的講師，教授生命科學和醫學物理實驗室課程。他定期擔任以下期刊的審稿人：《Medical Physics》、《Physics in Medicine and Biology》、《Transactions on Medical Imaging》、《Computers in Biology and Medicine》、《Physica Medica》、《EURASIP Journal on Image and Video Processing》、《Journal of Biomedical and Health Informatics》。
