000			03709cam a2200517Mi 4500
001			9781351188197
003			FlBoTFG
005			20260210180817.0
006			m o d
007			cr |n|||||||||
008			201103s2020 flua ob 001 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781351188173 _q(electronic bk.)
020			_a1351188178 _q(electronic bk.)
020			_a9781351188180 _q(electronic bk.)
020			_a1351188186 _q(electronic bk.)
020			_a9781351188197 _q(electronic bk.)
020			_a1351188194 _q(electronic bk.)
020			_a9781351188166 _q(electronic bk. : Mobipocket)
020			_a135118816X _q(electronic bk. : Mobipocket)
020			_z9780815393658
020			_z0815393652
035			_a(OCoLC)1202756549 _z(OCoLC)1226504648
035			_a(OCoLC-P)1202756549
050		4	_aRC78.7.D53
072		7	_aMED _x080000 _2bisacsh
072		7	_aPHVD _2bicssc
082	0	4	_a616.0754076 _223
245	0	0	_aDiagnostic radiology physics with MATLAB _h[electronic resource] : _ba problem-solving approach / _cedited by Johan Sjoberg, Robert Bujila, Gavin Polundniowski.
264		1	_aBoca Raton : _bCRC Press, _c2020.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aSeries in medical physics and biomedical engineering
520			_aImaging 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.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aDiagnostic imaging _xStudy and teaching (Higher) _xData processing.
650		0	_aMedical physics _xComputer-assisted instruction.
650		7	_aMEDICAL / Radiology & Nuclear Medicine _2bisacsh
700	1		_aSjöberg, Johan, _eeditor.
700	1		_aBujila, Robert, _eeditor.
700	1		_aPolundniowski, Gavin, _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781351188197
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c91669 _d91668