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Introduction to megavoltage x-ray dose computation algorithms / edited by Jerry Battista.

Contributor(s): Battista, Jerry [editor.]Material type: Text

TextSeries: Publisher: Boca Raton, FL : CRC Press, 2019Description: 1 online resource (xxviii, 418 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781315165110; 1315165112; 9781351676144; 1351676148; 9781351676120; 1351676121; 9781351676137; 135167613XSubject(s): SCIENCE / Physics | MEDICAL / Oncology | MEDICAL / Biotechnology | Cancer -- Radiotherapy | Radiation -- DosageDDC classification: 616.99/40642 LOC classification: RC271.R3 | B38 2019ebOnline resources: Taylor & Francis | OCLC metadata license agreement

Contents:

Chapter 1: Introduction to 3D Megavoltage X-Ray Dose Computations Chapter 2: X-ray Interactions and Energy Deposition Chapter 3: Conceptual Overview of Algorithms Chapter 4: Convolution and Superposition Methods Chapter 5: Stochastic Radiation Transport Method Chapter 6: Deterministic Radiation Transport Methods Chapter 7: En Route to 4D Dose Computations

Summary: A critical element of radiation treatment planning for cancer is the accurate prediction and delivery of a tailored radiation dose distribution inside the patient. Megavoltage x-ray beams are aimed at the tumour, while collateral damage to nearby healthy tissue and organs is minimized. The key to optimal treatment therefore lies in adopting a trustworthy three-dimensional (3D) dose computation algorithm, which simulates the passage of both primary and secondary radiation throughout the exposed tissue. Edited by an award-winning university educator and pioneer in the field of voxel-based radiation dose computation, this book explores the physics and mathematics that underlie algorithms encountered in contemporary radiation oncology. It is an invaluable reference for clinical physicists who commission, develop, or test treatment planning software.

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A critical element of radiation treatment planning for cancer is the accurate prediction and delivery of a tailored radiation dose distribution inside the patient. Megavoltage x-ray beams are aimed at the tumour, while collateral damage to nearby healthy tissue and organs is minimized. The key to optimal treatment therefore lies in adopting a trustworthy three-dimensional (3D) dose computation algorithm, which simulates the passage of both primary and secondary radiation throughout the exposed tissue. Edited by an award-winning university educator and pioneer in the field of voxel-based radiation dose computation, this book explores the physics and mathematics that underlie algorithms encountered in contemporary radiation oncology. It is an invaluable reference for clinical physicists who commission, develop, or test treatment planning software.

Includes index.

OCLC-licensed vendor bibliographic record.