|
|
|
|
| LEADER |
02316nmm a2200349 u 4500 |
| 001 |
EB002142169 |
| 003 |
EBX01000000000000001280295 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
230201 ||| eng |
| 020 |
|
|
|a 9789811975653
|
| 100 |
1 |
|
|a Sun, Jidi
|
| 245 |
0 |
0 |
|a MATLAB for Medical Physics
|h Elektronische Ressource
|b Real-life Clinical Scenarios and Projects
|c by Jidi Sun
|
| 250 |
|
|
|a 1st ed. 2023
|
| 260 |
|
|
|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
|
| 300 |
|
|
|a XI, 280 p. 500 illus., 369 illus. in color
|b online resource
|
| 505 |
0 |
|
|a Chapter 1 Introduction of MATLAB -- Chapter 2 Data reading, manipulation and displaying -- Chapter 3 DICOM file functions in MATLAB -- Chapter 4 Image display, processing and analysis -- Chapter 5 Graphical user interface development
|
| 653 |
|
|
|a Programming Techniques
|
| 653 |
|
|
|a Engineering mathematics
|
| 653 |
|
|
|a Computer programming
|
| 653 |
|
|
|a Medical physics
|
| 653 |
|
|
|a Mathematics / Data processing
|
| 653 |
|
|
|a Computational Science and Engineering
|
| 653 |
|
|
|a Medical Physics
|
| 653 |
|
|
|a Engineering / Data processing
|
| 653 |
|
|
|a Mathematical and Computational Engineering Applications
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-981-19-7565-3
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-19-7565-3?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 610.153
|
| 520 |
|
|
|a This book gives the practical introduction for medical physics students and clinical physicists to learn MATLAB programming. The first part of the book explains the MATLAB software layout and ways to get help followed by the demonstration of the fundamentals of MATLAB programming through over 100 examples. The second part of the book features eighteen real-life clinical scenarios and projects and twenty-three scenario expansions. The scenarios cover many of the common clinical medical physics areas including DICOM file manipulation, film dosimetry, brachytherapy application, linear accelerator and CT quality assurance and their automations, medical image processing and analysis. All scenarios include the step-by-step solution as a guidance for readers to learn MATLAB by practicing. The data files (e.g. DICOM) used for all clinical scenarios are provided
|