Medical Imaging: From Roentgen to the Digital Revolution, and Beyond

被引:70
作者
Bercovich, Eyal [1 ]
Javitt, Marcia C. [1 ,2 ]
机构
[1] Rambam Hlth Care Campus, Dept Med Imaging, Haifa, Israel
[2] Technion Israel Inst Technol, Ruth & Bruce Rappaport Fac Med, Haifa, Israel
关键词
Machine learning; medical imaging; radiology; radiomics; theranostics;
D O I
10.5041/RMMJ.10355
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Today medical imaging is an essential component of the entire health-care continuum, from wellness and screening, to early diagnosis, treatment selection, and follow-up. Patient triage in both acute care and chronic disease, imaging-guided interventions, and optimization of treatment planning are now integrated into routine clinical practice in all subspecialties. This paper provides a brief review of major milestones in medical imaging from its inception to date, with a few considerations regarding future directions in this important field.
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页数:11
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共 47 条
[1]   The Diffusion Tensor Imaging Toolbox [J].
Alger, Jeffry R. .
JOURNAL OF NEUROSCIENCE, 2012, 32 (22) :7418-7428
[2]  
American College of Radiology, ACR APPR CRIT
[3]   Resting-State Functional MR Imaging: A New Window to the Brain [J].
Barkhof, Frederik ;
Haller, Sven ;
Rombouts, Serge A. R. B. .
RADIOLOGY, 2014, 272 (01) :28-48
[4]   Ultrasound-Unenhanced CT Fusion for Detection and Localization of Ureteral Stones [J].
Bercovich, Eyal ;
Leiderman, Maxim ;
Beck-Razi, Nira ;
Gaitini, Diana ;
Javitt, Marcia .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2018, 210 (01) :W8-W11
[5]   Basics of imaging informatics: Part 1 [J].
Branstetter, Barton F. .
RADIOLOGY, 2007, 243 (03) :656-667
[6]   Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction [J].
Bruno, Michael A. ;
Walker, Eric A. ;
Abujudeh, Hani H. .
RADIOGRAPHICS, 2015, 35 (06) :1668-1676
[7]   Machine Learning Applied to Alzheimer Disease [J].
Bryan, R. Nick .
RADIOLOGY, 2016, 281 (03) :665-668
[8]   Myocardial T1 Mapping: Techniques and Potential Applications [J].
Burt, Jeremy R. ;
Zimmerman, Stefan L. ;
Kamel, Ihab R. ;
Halushka, Marc ;
Bluemke, David A. .
RADIOGRAPHICS, 2014, 34 (02) :377-+
[9]   Deep Learning: A Primer for Radiologists [J].
Chartrand, Gabriel ;
Cheng, Phillip M. ;
Vorontsov, Eugene ;
Drozdzal, Michal ;
Turcotte, Simon ;
Pal, Christopher J. ;
Kadoury, Samuel ;
Tang, An .
RADIOGRAPHICS, 2017, 37 (07) :2113-2131
[10]   MR Myocardial Perfusion Imaging [J].
Coelho-Filho, Otavio R. ;
Rickers, Carsten ;
Kwong, Raymond Y. ;
Jerosch-Herold, Michael .
RADIOLOGY, 2013, 266 (03) :701-715