다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
방사선기술과학 = Journal of radiological science and technology, v.45 no.2, 2022년, pp.145 - 150
이영준 (서울대병원 영상의학과) , 민정환 (신구대학교 방사선과)
AI-Helper
The main purpose of this work was to restore the blurry chest CT images by applying a blind deconvolution algorithm. In general, image restoration is the procedure of improving the degraded image to get the true or original image. In this regard, we focused on a blind deblurring approach with chest ...
Fokkens WJ, Lund VJ, Mullol J, Bachert C, Alobid I, Baroody F, et al. EPOS 2012: European position paper on rhinosinusitis and nasal polyps 2012. A Summary for Otorhinolaryngologists. Rhinology. 2012;50(1):1-12.
Goo HW. CT radiation dose optimization and estimation: An update for radiologists. Korean Journal of Radiology. 2012;13(1):1-11.
Gunn ML, Kohr JR. State of the art: Technologies for computed tomography dose reduction. Emergency Radiology. 2010;17(3):209-18.
Kalra MK, Maher MM, Toth TL, Hamberg LM, Blake MA, Shepard JA, et al. Strategies for CT radiation dose optimization. Radiology. 2004;230(3):619-28.
McCollough CH, Bruesewitz MR, Kofler Jr. JM. CT dose reduction and dose management tools: Overview of available options. Radiographics. 2006;26(2):503-12.
Beister M, Kolditz D, Kalender WA. Iterative reconstruction methods in X-ray CT. Physica Medica. 2012;28(2):94-108.
Fleischmann D, Boas FE. Computed tomography-old ideas and new technology. European Radiology. 2011;21(3):510-7.
Kalra MK, WoisetschlWger M, DahlstrWm N, Singh S, Lindblom M, Choy G, et al. Radiation dose reduction with sinogram affirmed iterative reconstruction technique for abdominal computed tomography. Journal of Computer Assisted Tomography. 2012;36(3):339-46.
Leipsic J, Heilbron BG, Hague C. Iterative reconstruction for coronary CT angiography: Finding its way. The International Journal of Cardiovascular Imaging. 2012;28(3):613-20.
NoWl PB, Fingerle AA, Renger B, MWnzel D, Rummeny EJ, Dobritz M. Initial performance characterization of a clinical noise-suppressing reconstruction algorithm for mdct. American Journal of Roentgenology. 2011;197(6):1404-9.
Schuler CJ, Hirsch M, Harmeling S, SchWlkopf B. Learning to deblur. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015;38(7):1439-51.
Chakrabarti A. ed. A neural approach to blind motion deblurring. European Conference on Computer Vision. Springer; 2016.
Sun J, Cao W, Xu Z, Ponce J. eds. Learning a convolutional neural network for non-uniform motion blur removal. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
Kundur D, Hatzinakos D. Blind image deconvolution. IEEE Signal Processing Magazine. 1996a;13(3):43-64.
Kundur D, Hatzinakos D. Blind image deconvolution revisited. IEEE Signal Processing Magazine. 1996b;13(6):61-3.
Chae KJ, Goo JM, Ahn SY, Yoo JY, Yoon SH. Application of Deconvolution Algorithm of Point Spread Function in Improving Image Quality: An Observer Preference Study on Chest Radiography. Korean J Radiol. 2018;19(1):147-152.
Kaushik P, Chawla M, Kumar G. Detection of Noise in an Image using Blind Deconvolution Method. International Journal of Scientific Research and Management. 2020;3:3411-5.
Sharma K, Kundra S. Restoration of Medical Images using Blind Image Deconvolution based on Ant Colony. International Journal of Computer Applications. 2013;84:24-7.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.