Is it possible to kill the radiation risk issue in computed tomography?
Publication
, Journal Article
Kachelrieß, M; Rehani, MM
Published in: Phys Med
March 2020
Duke Scholars
Published In
Phys Med
DOI
EISSN
1724-191X
Publication Date
March 2020
Volume
71
Start / End Page
176 / 177
Location
Italy
Related Subject Headings
- Tomography, X-Ray Computed
- Software
- Risk Assessment
- Radiation Dosage
- Nuclear Medicine & Medical Imaging
- Humans
- 5105 Medical and biological physics
- 4003 Biomedical engineering
- 3202 Clinical sciences
- 11 Medical and Health Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Kachelrieß, M., & Rehani, M. M. (2020). Is it possible to kill the radiation risk issue in computed tomography? Phys Med, 71, 176–177. https://doi.org/10.1016/j.ejmp.2020.02.017
Kachelrieß, Marc, and Madan M. Rehani. “Is it possible to kill the radiation risk issue in computed tomography?” Phys Med 71 (March 2020): 176–77. https://doi.org/10.1016/j.ejmp.2020.02.017.
Kachelrieß M, Rehani MM. Is it possible to kill the radiation risk issue in computed tomography? Phys Med. 2020 Mar;71:176–7.
Kachelrieß, Marc, and Madan M. Rehani. “Is it possible to kill the radiation risk issue in computed tomography?” Phys Med, vol. 71, Mar. 2020, pp. 176–77. Pubmed, doi:10.1016/j.ejmp.2020.02.017.
Kachelrieß M, Rehani MM. Is it possible to kill the radiation risk issue in computed tomography? Phys Med. 2020 Mar;71:176–177.
Published In
Phys Med
DOI
EISSN
1724-191X
Publication Date
March 2020
Volume
71
Start / End Page
176 / 177
Location
Italy
Related Subject Headings
- Tomography, X-Ray Computed
- Software
- Risk Assessment
- Radiation Dosage
- Nuclear Medicine & Medical Imaging
- Humans
- 5105 Medical and biological physics
- 4003 Biomedical engineering
- 3202 Clinical sciences
- 11 Medical and Health Sciences