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Comparison of Pre- and Post-Reconstruction Denoising Approaches in Positron Emission Tomography
KTH, School of Technology and Health (STH), Health Systems Engineering.
KTH, School of Technology and Health (STH), Health Systems Engineering.ORCID iD: 0000-0002-1831-9285
2016 (English)In: THE 1ST 2016 INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (IBIOMED 2016), IEEE, 2016, 63-68 p.Conference paper, Published paper (Refereed)
Abstract [en]

In Positron Emission Tomography (PET), image quality is highly degraded by noise. Therefore, two main PETimage denoising approaches can be used: pre- and postreconstruction denoising. In the pre-reconstruction approach the PET sinogram is denoised before forwarding it to the image reconstruction algorithm. On the other hand, the reconstructed PET-image is denoised in the post-reconstruction approach. In this study, comparison of image quality of the resulting images of the pre- and post-reconstruction approaches is performed. In both types of approaches, the Gaussian filter, the Non-Local Means filter (NLM), the Block-Matching and 3D filter (BM3D), the K-Nearest Neighbors Filter (KNN) and the Patch Confidence K-Nearest Neighbors Filter (PCkNN) are utilized. These approaches are evaluated on a simulated PET-phantom dataset, a real-life physical thorax-phantom PET dataset as well as a reallife MicroPET-scan dataset of a mouse. The performance is measured using the Signal-to-Noise Ratio (SNR) in addition to the Contrast-to-Noise Ratio (CNR) in the resulting images.

Place, publisher, year, edition, pages
IEEE, 2016. 63-68 p.
Keyword [en]
BM3D, CNR, FB, Image, Denoising, kNN, MLEM, NLM, PCkNN, PET, Positron Emission Tomography, Sinogram Denoising, SNR
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-198190ISI: 000405596400012Scopus ID: 2-s2.0-85017515445ISBN: 978-1-5090-4142-8 OAI: oai:DiVA.org:kth-198190DiVA: diva2:1055977
Conference
THE 1ST 2016 INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (IBIOMED 2016)
Note

QCR 20161214

QC 20170601

Available from: 2016-12-13 Created: 2016-12-13 Last updated: 2017-08-09Bibliographically approved

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Scopushttp://ibiomed.ugm.ac.id/

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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