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Shulph Ink

Introduction to Megavoltage X-Ray Dose Computation Algorithms

Introduction to Megavoltage X-Ray Dose Computation Algorithms

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  • More about Introduction to Megavoltage X-Ray Dose Computation Algorithms


The accurate prediction and delivery of a tailored radiation dose distribution inside the patient is critical for cancer radiation treatment planning. This book explores the physics and mathematics that underlie algorithms encountered in contemporary radiation oncology, providing an invaluable reference for clinical physicists and educators. It covers three important algorithms: convolution-superposition principles, the Monte Carlo method, and the Boltzmann method.

Format: Paperback / softback
Length: 418 pages
Publication date: 31 March 2021
Publisher: Taylor & Francis Ltd


A vital component of cancer radiation treatment planning is the precise prediction and delivery of a customized radiation dose distribution within the patient. Megavoltage x-ray beams are directed toward the tumor, while collateral damage to nearby healthy tissue and organs is minimized. Therefore, achieving optimal treatment relies on employing a reliable 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 delves into the physics and mathematics underlying algorithms encountered in contemporary radiation oncology. It serves as an invaluable reference for clinical physicists involved in commissioning, developing, or testing treatment planning software. Additionally, this book covers a core topic in the syllabus for educating graduate students and residents entering the field of clinical physics.

This book begins with a historical perspective, gradually building up to the three most important algorithms used for today's clinical applications. These algorithms can solve the same general radiation transport problem from three vantage points: firstly, applying convolution-superposition principles (i.e., the Green's method); secondly, the stochastic simulation of radiation particle interactions with tissue atoms (i.e., the Monte Carlo method); and thirdly, the deterministic solution of the fundamental equations for radiation fields of x-rays and their secondary particles (i.e., the Boltzmann method). It contains clear, original illustrations of key concepts and quantities throughout, supplemented by metaphors and analogies to facilitate understanding.

Weight: 826g
Dimension: 254 x 178 (mm)
ISBN-13: 9780367780517

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