Dynamic PET denoising incorporating a composite image guided filter

Lijun Lu, Debin Hu, Xiaomian Ma, Jianhua Ma, Arman Rahmim, Wufan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We proposed a composite image guided filtering technique for dynamic PET denoising to enable quantitatively enhanced time frames. The guided filter computes the filtering output by considering the content of a guidance image, which can be the input image itself or a different image. In this paper, the composite image from the entire time series is considered as the guidance image. Thus, a local linear model is established between the composite image and individual PET time frames. Subsequently, linear ridge regression is exploited to derive an explicit composite image guided filter. For validation, 20 minute FDG PET data from a NEMA NU 4-2008 IQ phantom were acquired in the list-mode format via the Siemens Invoen micro PET, and were subsequently divided and reconstructed into 20 frames. We compared the performances (including visual and quantitative profiles) of the proposed composite image guide filter (CIGF) with a classic Gaussian filter (GF), and a highly constrained back projection (HYPR) filter. The experimental results demonstrated the proposed filter to achieve superior visual and quantitative performance without sacrificing spatial resolution. The proposed CIGF is considerably effective and has great potential to process the data with high noise for dynamic PET scans.

Original languageEnglish (US)
Title of host publication2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479960972
DOIs
StatePublished - Mar 10 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: Nov 8 2014Nov 15 2014

Other

OtherIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
CountryUnited States
CitySeattle
Period11/8/1411/15/14

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Lu, L., Hu, D., Ma, X., Ma, J., Rahmim, A., & Chen, W. (2016). Dynamic PET denoising incorporating a composite image guided filter. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 [7430922] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2014.7430922