Spatial and temporal processing for functional imaging probes

Mingwu Jin, Cong Zhao, Jaehoon Yu, Wei Chen, Guiyang Hao, Xiankai Sun, Glen Balch

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


Functional imaging probes can help surgeons to accurately locate residual tumors for a complete destruction of malignant tissues with minimal damage to healthy ones that can lead to better patient survival and recovery. In our previous work, we demonstrated that the combination of spatial and temporal processing could yield image frames with a fast update rate and good image quality for superior tumor detection performance. In this work, we further investigate more advanced spatial and temporal processing methods for functional imaging probes. Total variation (TV) based methods are used for spatial denoising and compared with Gaussian smoothing. For temporal processing, the key component of motion estimation is studied using both conventional energy-based and new TV-L1 norm based optical flow methods. Applied on Poisson noise corrupted projection images, TV based spatial denoising methods demonstrate superior performance over Gaussian smoothing, whereas the energy-based motion estimation method seems to work better than TV-L1 norm based method. More thorough investigations are needed to confirm these findings and to obtain the processing strategy for the optimal imaging performance of functional imaging probes.

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
StatePublished - Mar 10 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: Nov 8 2014Nov 15 2014


OtherIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
Country/TerritoryUnited States

ASJC Scopus subject areas

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


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