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Diagnostic Radiology Physics with MATLAB®

- A Problem-Solving Approach
Engelsk Paperback

Diagnostic Radiology Physics with MATLAB®

- A Problem-Solving Approach
Engelsk Paperback
Tjek vores konkurrenters priser

Imaging modalities in radiology produce ever-increasing amounts of data which need to be displayed, optimized, analyzed and archived: a "big data" as well as an "image processing" problem. Computer programming skills are rarely emphasized during the education and training of medical physicists, meaning that many individuals enter the workplace without the ability to efficiently solve many real-world clinical problems.

This book provides a foundation for the teaching and learning of programming for medical physicists and other professions in the field of Radiology and offers valuable content for novices and more experienced readers alike.

It focuses on providing readers with practical skills on how to implement MATLAB® as an everyday tool, rather than on solving academic and abstract physics problems. Further, it recognizes that MATLAB is only one tool in a medical physicist’s toolkit and shows how it can be used as the "glue" to integrate other software and processes together. Yet, with great power comes great responsibility. The pitfalls to deploying your own software in a clinical environment are also clearly explained. This book is an ideal companion for all medical physicists and medical professionals looking to learn how to utilize MATLAB in their work.

Features

  • Encompasses a wide range of medical physics applications in diagnostic and interventional radiology
  • Advances the skill of the reader by taking them through real-world practical examples and solutions with access to an online resource of example code
  • The diverse examples of varying difficulty make the book suitable for readers from a variety of backgrounds and with different levels of programming experience.
Tjek vores konkurrenters priser
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Tjek vores konkurrenters priser

Imaging modalities in radiology produce ever-increasing amounts of data which need to be displayed, optimized, analyzed and archived: a "big data" as well as an "image processing" problem. Computer programming skills are rarely emphasized during the education and training of medical physicists, meaning that many individuals enter the workplace without the ability to efficiently solve many real-world clinical problems.

This book provides a foundation for the teaching and learning of programming for medical physicists and other professions in the field of Radiology and offers valuable content for novices and more experienced readers alike.

It focuses on providing readers with practical skills on how to implement MATLAB® as an everyday tool, rather than on solving academic and abstract physics problems. Further, it recognizes that MATLAB is only one tool in a medical physicist’s toolkit and shows how it can be used as the "glue" to integrate other software and processes together. Yet, with great power comes great responsibility. The pitfalls to deploying your own software in a clinical environment are also clearly explained. This book is an ideal companion for all medical physicists and medical professionals looking to learn how to utilize MATLAB in their work.

Features

  • Encompasses a wide range of medical physics applications in diagnostic and interventional radiology
  • Advances the skill of the reader by taking them through real-world practical examples and solutions with access to an online resource of example code
  • The diverse examples of varying difficulty make the book suitable for readers from a variety of backgrounds and with different levels of programming experience.
Produktdetaljer
Sprog: Engelsk
Sider: 292
ISBN-13: 9780367642624
Indbinding: Paperback
Udgave:
ISBN-10: 036764262X
Kategori: Radiologi
Udg. Dato: 30 maj 2022
Længde: 28mm
Bredde: 254mm
Højde: 177mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 30 maj 2022
Forfatter(e):
Forfatter(e)


Kategori Radiologi


ISBN-13 9780367642624


Sprog Engelsk


Indbinding Paperback


Sider 292


Udgave


Længde 28mm


Bredde 254mm


Højde 177mm


Udg. Dato 30 maj 2022


Oplagsdato 30 maj 2022


Forlag Taylor & Francis Ltd

Kategori sammenhænge