Spatially penalized methods for linear parametric imaging in dynamic PET

Guobao Wang, Jinyi Qi

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

2 Citations (Scopus)

Abstract

Dynamic emission tomography can provide the estimation of physiological and biochemical parameters through the use of tracer kinetic modeling techniques. Compared to the conventional region-of-interest method for kinetic data analysis, parametric imaging is becoming preferable since it can provide the spatial distribution of physiologically important parameters. However, parametric images obtained by the conventional methods are usually noisy because the time activity curve of each pixel has high noise. Here we use Markov random field as an image prior to improve the quality of parametric images. Compared to the ridge regression method where spatial regularization was introduced through a mean image, Markov random field prior explicitly models the spatial correlation between neighboring pixels. We have derived monotonically convergent iterative algorithms for estimating parametric images. The method is evaluated using computer simulation and also applied to real dynamic PET data.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium Conference Record
Pages1787-1791
Number of pages5
Volume3
DOIs
StatePublished - 2007
Event2006 IEEE Nuclear Science Symposium, Medical Imaging Conference and 15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors, Special Focus Workshops, NSS/MIC/RTSD - San Diego, CA, United States
Duration: Oct 29 2006Nov 4 2006

Other

Other2006 IEEE Nuclear Science Symposium, Medical Imaging Conference and 15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors, Special Focus Workshops, NSS/MIC/RTSD
CountryUnited States
CitySan Diego, CA
Period10/29/0611/4/06

Fingerprint

Pixels
Imaging techniques
Kinetics
Spatial distribution
Tomography
Computer simulation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

Cite this

Wang, G., & Qi, J. (2007). Spatially penalized methods for linear parametric imaging in dynamic PET. In IEEE Nuclear Science Symposium Conference Record (Vol. 3, pp. 1787-1791). [4179354] https://doi.org/10.1109/NSSMIC.2006.354241

Spatially penalized methods for linear parametric imaging in dynamic PET. / Wang, Guobao; Qi, Jinyi.

IEEE Nuclear Science Symposium Conference Record. Vol. 3 2007. p. 1787-1791 4179354.

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

Wang, G & Qi, J 2007, Spatially penalized methods for linear parametric imaging in dynamic PET. in IEEE Nuclear Science Symposium Conference Record. vol. 3, 4179354, pp. 1787-1791, 2006 IEEE Nuclear Science Symposium, Medical Imaging Conference and 15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors, Special Focus Workshops, NSS/MIC/RTSD, San Diego, CA, United States, 10/29/06. https://doi.org/10.1109/NSSMIC.2006.354241
Wang G, Qi J. Spatially penalized methods for linear parametric imaging in dynamic PET. In IEEE Nuclear Science Symposium Conference Record. Vol. 3. 2007. p. 1787-1791. 4179354 https://doi.org/10.1109/NSSMIC.2006.354241
Wang, Guobao ; Qi, Jinyi. / Spatially penalized methods for linear parametric imaging in dynamic PET. IEEE Nuclear Science Symposium Conference Record. Vol. 3 2007. pp. 1787-1791
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