Dose Optimization in Digital Radiography and Computed Tomography: An Essential Guide - Brossura

Euclid Seeram, Seeram

 
9783031228728: Dose Optimization in Digital Radiography and Computed Tomography: An Essential Guide

Sinossi

This book addresses radiation protection of patients having digital radiography and computed tomography (CT) examinations. The literature on radiation doses to patients from these two modalities have reported that the doses to patients are high. As a result, the radiology community has focused on methods and procedures to keep these doses as low as reasonably achievable (ALARA) without compromising the diagnostic image quality. This book outlines the motivation for dose optimization in radiology, identifies and describes the ICRP principle of optimization, outlines the factors affecting the dose in digital radiography and in CT, and identifies and describes strategies used in digital radiography and in CT for dose optimization.

This book is intended for all those working in digital radiography and CT environments including radiological technologists, and radiographers, radiologists, biomedical engineering technologists, and student medical physicists.

It is bestused as a supplement to radiologic science textbooks, and in particular, radiation protection textbooks. Furthermore, this book lays the foundations for students and practitioners engaged in research on dose reduction and dose optimization in radiology.

·         Provides practical and useful methods for optimization of doses from digital radiography and CT

 

·         Describes the International Commission on Radiological Protection (ICRP) principle of optimization

 

·         Outlines the factors affecting the dose in digital radiography and in computed tomography

 


Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9783031228704: Dose Optimization in Digital Radiography and Computed Tomography: An Essential Guide

Edizione in evidenza

ISBN 10:  3031228707 ISBN 13:  9783031228704
Casa editrice: Springer Nature, 2023
Rilegato