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Acknowledgments

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The four parts of this book were initially drafted by Professors Mou, Zhang, Ye, and Wang respectively, based on a collectively developed overall layout. The appendices were drafted by Professor Ye. Hands-on examples were developed by Professors Zhang, Ye, and Mou collectively, and integrated by Professor Zhang. All parts were internally reviewed and revised by the four co-authors, and editorially refined by the staff of IOP Publishing.

We would like to express our sincere gratitude to all individuals, publishers, and companies for permission to reproduce some of the images and figures in this book, IOP Publishing staff for guidance during the development of the book, and importantly our students, other lab members, and collaborators for their significant contributions, including but not limited to Hongming Shan, Qing Lyu, Christopher Wiedeman, Harshank Shrotriya, Huidong Xie, Fenglei Fan, Mengzhou Li, and Varun Ravichandran. Drs Michael Vannier and Hengyong Yu offered insightful advice on the strengths and weaknesses of this book for improvements. Last but not least, the following leading companies have graciously given permission to reproduce some of the best figures/images in this book: Cannon, General Electric, Siemens, and Phillips (in alphabetical order). Without these, this book would not have been created in its current form. We are happy that the first version of this book is now complete, and look forward to producing future versions and more excitement in the years to come.

Machine Learning for Tomographic Imaging

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