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Congress: ECR25
Poster Number: C-15843
Type: Poster: EPOS Radiographer (scientific)
Authorblock: K. Gun Young; Seoul/KR
Disclosures:
Kim Gun Young: Nothing to disclose
Keywords: MR physics, MR, MR-Angiography, MR-Functional imaging, CAD, Experimental investigations, Technical aspects, Artifacts, Image verification, Quality assurance
References

1. Kang Hae-jin, MRI artifact and reducing technique, Korean Journal of Magnetic Resonance, 1999

2. Park Dong-woo, Lee Seung-rok, Ham Chang-gok et al. Artificial shading in 3DTOF and PC magnetic resonance angiography of intracranial blood vessels. Journal of Korean Radiology, 1997;36:553-560

3. Young-Jun Lee, Magnetic Resonance Imaging of Spine: Normal Variations, Traps and Artifacts, Journal of the Korean Academy of Magnetic Resonance, 2001, 5(1):1-17

4. Olaf dietrich, Jose G. Raya MSc, Scott B. Reeder, et al. Measurement of signal to noise ratios in MR images: Influence of multichannel coils, parallel imaging, and reconstruction filters. Journal of Magnetic Resonance Imaging, 2007;26(2):375-385.

5. Philip M. Robson, Aaron K. Grant, Ananth J. Madhuranthakam et al. Comprehensive quantification of signal to noise ratio and g-factor for image based and k-space based parallel imaging reconstructions. Magnetic resonance in medicine, 2008;60(4):895-907.

6. National Electrical Manufacturers Association(NEMA). Determination of signal-to-ratio(SNR) in diagnostic magnetic resonance imaging. NEMA standards Publication MMS 1-2008-R2014. Rosslyn: National Elecrical Manufacturers Association: 2008;15p

7. Loren Zaremba, PhD, FDA Guidelines for Magnetic Resonance Equipment Safety, Food and Drug Administration, 2016

8. ASTM F2182-02a, “Standard Test Method for Measurement of Radio Frequency Induced Heating Near Passive Implants During Magnetic Resonance Imaging”, copyright ASTM International, 100 Barr Harbor Drive, West Conshohocken, PA 19428

9. Jun Miao, David L. Wilson, Selective Evaluation of Noise, Blur, and Aliasing Artifacts in Fast MRI Reconstructions Using a Weighted Perceptual Difference Model (Case-PDM). Proceedings of SPIE, 2009. Volume 7263, id, 72631N

10. Soo Jin Park, ByungJoo Kim, Carbon Materias for Electrochemical capacitors, Korea Research Institute of Chemical Techonology, 2005;6(4):257-268
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