Radiomics and radiogenomics : technical basis and clinical applications / edited by Ruijiang Li, Lei Xing, Sandy Napel, Daniel L. Rubin.

Contributor(s): Li, Ruijiang [editor.] | Xing, Lei [editor.] | Napel, Sandy [editor.] | Rubin, Daniel (Daniel L.) [editor.]Material type: TextTextSeries: Publisher: Boca Raton, FL : CRC Press, Taylor & Francis Group, [2019]Copyright date: ©2019Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781351208277; 1351208276; 9781351208246; 1351208241; 9781351208260; 1351208268; 135120825X; 9781351208253Subject(s): Cancer -- Imaging | Diagnostic imaging | SCIENCE / Physics | MEDICAL / OncologyDDC classification: 616.99/40754 LOC classification: RC270.3.D53 | R36 2019ebOnline resources: Taylor & Francis | OCLC metadata license agreement
Contents:
Principles and rationale of radiomics and radiogenomics / Sandy Napel -- Imaging informatics: an overview / Assaf Hoogi, Daniel Rubin -- Quantitative imaging using CT / Lin Lu, Lawrence H. Schwartz, Binsheng Zhao -- Quantitative PET/CT for radiomics / Stephen R. Bowen, Paul E. Kinahan, George A. Sandison, Matthew J. Nyflot -- Common techniques of quantitative MRI / David Hormuth II, Jack Virostko, Ashley Stokes, Adrienne Dula, Anna G. Sorace, Jennifer G. Whisenant, Jared Weis, C. Chad Quarles, Michael I. Miga, Thomas E. Yankeelov -- Tumor segmentation / Spyridon Bakas, Rhea Chitalia, Despina Kontos, Yong Fan, Christos Davatzikos -- Habitat imaging of tumor evolution by magnetic resonance imaging (MRI) / Bruna Victorasso Jardim-Perassi, Gary Martinez, Robert Gillies -- Feature extraction and qualification / Lise Wei, Issam El Naqa -- Predictive modeling, machine learning, and statistical issues / Panagiotis Korfiatis, Timothy L. Kline, Zeynettin Akkus, Kenneth Philbrick, Bradley J. Erikson -- Radiogenomics: rationale and methods / Olivier Gevaert -- Resources and datasets for radiomics / Ken Chang, Andrew Beers, James Brown, Jayashree Kalpathy-Cramer -- Roles of radiomics and radiogenomics in clinical practice / Tianyue Niu, Xiaoli Sun, Pengfei Yang, Guohong Cao, Khin K. Tha, Hiroki Shirato, Kathleen Horst, Lei Xing -- Brain cancer / William D. Dunn Jr, Rivka Colen -- Breast cancer / Hui Li, Maryellen L. Giger -- Lung cancer / Dong Di, Jie Tian -- The essence of R in head and neck cancer / Hesham Elhalawani, Arvind Rao, Clifton D. Fuller -- Gastrointestinal cancers / Zaiyi Liu -- Radiomics in genitourinary cancers: prostate cancer / Satish Viswanath, Anant Madabhushi -- Radiomics analysis for gynecologic cancers / Harini Veeraraghavan -- Applications of imaging genomics beyond oncology / Xiaohui Yao, Jingwen Yan, Li Shen -- Quantitative imaging to guide mechanism based modeling of cancer / David A. Hormouth II, Matthew T. McKenna, Thomas E. Yankeelov -- Looking ahead: opportunities and challenges in radiomics and radiogenomics / Ruijiang Li, Yan Wu, Michael Gensheimer, Masoud Badiei Khuzani, Lei Xing.
Summary: "This book provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical basis, and clinical applications with a focus on cancer. The expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and therapy planning"-- Provided by publisher.
List(s) this item appears in: cancer awareness
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Principles and rationale of radiomics and radiogenomics / Sandy Napel -- Imaging informatics: an overview / Assaf Hoogi, Daniel Rubin -- Quantitative imaging using CT / Lin Lu, Lawrence H. Schwartz, Binsheng Zhao -- Quantitative PET/CT for radiomics / Stephen R. Bowen, Paul E. Kinahan, George A. Sandison, Matthew J. Nyflot -- Common techniques of quantitative MRI / David Hormuth II, Jack Virostko, Ashley Stokes, Adrienne Dula, Anna G. Sorace, Jennifer G. Whisenant, Jared Weis, C. Chad Quarles, Michael I. Miga, Thomas E. Yankeelov -- Tumor segmentation / Spyridon Bakas, Rhea Chitalia, Despina Kontos, Yong Fan, Christos Davatzikos -- Habitat imaging of tumor evolution by magnetic resonance imaging (MRI) / Bruna Victorasso Jardim-Perassi, Gary Martinez, Robert Gillies -- Feature extraction and qualification / Lise Wei, Issam El Naqa -- Predictive modeling, machine learning, and statistical issues / Panagiotis Korfiatis, Timothy L. Kline, Zeynettin Akkus, Kenneth Philbrick, Bradley J. Erikson -- Radiogenomics: rationale and methods / Olivier Gevaert -- Resources and datasets for radiomics / Ken Chang, Andrew Beers, James Brown, Jayashree Kalpathy-Cramer -- Roles of radiomics and radiogenomics in clinical practice / Tianyue Niu, Xiaoli Sun, Pengfei Yang, Guohong Cao, Khin K. Tha, Hiroki Shirato, Kathleen Horst, Lei Xing -- Brain cancer / William D. Dunn Jr, Rivka Colen -- Breast cancer / Hui Li, Maryellen L. Giger -- Lung cancer / Dong Di, Jie Tian -- The essence of R in head and neck cancer / Hesham Elhalawani, Arvind Rao, Clifton D. Fuller -- Gastrointestinal cancers / Zaiyi Liu -- Radiomics in genitourinary cancers: prostate cancer / Satish Viswanath, Anant Madabhushi -- Radiomics analysis for gynecologic cancers / Harini Veeraraghavan -- Applications of imaging genomics beyond oncology / Xiaohui Yao, Jingwen Yan, Li Shen -- Quantitative imaging to guide mechanism based modeling of cancer / David A. Hormouth II, Matthew T. McKenna, Thomas E. Yankeelov -- Looking ahead: opportunities and challenges in radiomics and radiogenomics / Ruijiang Li, Yan Wu, Michael Gensheimer, Masoud Badiei Khuzani, Lei Xing.

"This book provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical basis, and clinical applications with a focus on cancer. The expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and therapy planning"-- Provided by publisher.

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