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Image denoising with convolutional neural networks for percutaneous transluminal coronary angioplasty
KTH, School of Technology and Health (STH), Medical Engineering, Medical Image Processing and Visualization. Politecnico di Torino, Italy.
KTH, School of Technology and Health (STH), Medical Engineering, Medical Image Processing and Visualization.
KTH, School of Technology and Health (STH), Medical Engineering, Medical Image Processing and Visualization.ORCID iD: 0000-0002-7750-1917
2018 (English)In: VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017, Springer Netherlands, 2018, Vol. 27, 255-265 p.Conference paper, Published paper (Refereed)
Abstract [en]

Percutaneous transluminal coronary angioplasty (PTCA) requires X-ray images employing high radiation dose with high concentration of contrast media, leading to the risk of radiation induced injury and nephropathy. These drawbacks can be reduced by using lower doses of X-rays and contrast media, with the disadvantage of noisier PTCA images. In this paper, convolutional neural networks were used in order to denoise low dose PTCA-like images, built by adding artificial noise to high dose images. MSE and SSIM based loss functions were tested and compared visually and quantitatively for different types and levels of noise. The results showed promising performance for denoising task.

Place, publisher, year, edition, pages
Springer Netherlands, 2018. Vol. 27, 255-265 p.
Series
Lecture Notes in Computational Vision and Biomechanics, ISSN 2212-9391 ; 27
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-218924DOI: 10.1007/978-3-319-68195-5_28Scopus ID: 2-s2.0-85032387405ISBN: 978-3-319-68194-8 (print)OAI: oai:DiVA.org:kth-218924DiVA: diva2:1161877
Conference
VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017
Note

QC 20171201

Available from: 2017-12-01 Created: 2017-12-01 Last updated: 2017-12-05Bibliographically approved

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Smedby, Örjan

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CiteExportLink to record
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Citation style
  • apa
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  • modern-language-association-8th-edition
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  • de-DE
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More languages
Output format
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