Introduction to megavoltage X-Ray dose computation algorithms (Record no. 560988)

000 -LEADER
fixed length control field 03015 a2200229 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200217114040.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200211b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781138056848
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 616.9940642
Item number In8
245 ## - TITLE STATEMENT
Title Introduction to megavoltage X-Ray dose computation algorithms
Statement of responsibility, etc edited by Jerry J. Battista
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher CRC Press
Year of publication 2019
Place of publication Boca Raton
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxx, 417p
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Series in medical physics and biomedical engineering
490 ## - SERIES STATEMENT
Series statement / edited by John G. Webster
520 ## - SUMMARY, ETC.
Summary, etc 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. This book also covers a core topic in the syllabus for educating graduate students and residents entering the field of clinical physics.

This book starts 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 vantages: firstly, applying convolution-superposition principles (i.e. 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 thoughout, supplemented by metaphors and analogies to facilitate comprehension and retention of knowledge.

Features:

Edited by an authority in the field, enhanced with chapter contributions from physicists with clinical experience in the fields of computational dosimetry and dose optimization
Contains examples of test phantom results and clinical cases, illustrating pitfalls to avoid in clinical applications to radiation oncology
Introduces four-dimensional (4D) dose computation, on-line dose reconstruction, and dose accumulation that accounts for tissue displacements and motion throughout a course of radiation therapy
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Radiation -- Dosage
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Cancer -- Radiotherapy
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Battista, Jerry J. [ed.]
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks P K Kelkar Library, IIT Kanpur P K Kelkar Library, IIT Kanpur 2020-02-24 60 8689.52 616.9940642 In8 A185254 10861.60 Books

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