Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection

Li Yang, Andrea Ferrero, Rosalie J Hagge, Ramsey D Badawi, Jinyi Qi

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

Abstract

Detecting cancerous lesions is a major clinical application in emission tomography. In previous work, we have studied penalized maximum-likelihood (PML) image reconstruction for the detection task, where we used a multiview channelized Hotelling observer (mvCHO) to assess the lesion detectability in 3D images. It mimics the condition where a human observer examines three orthogonal views of a 3D image for lesion detection. We proposed a method to design a shift-variant quadratic penalty function to improve the detectability of lesions at unknown locations, and validated it using computer simulations. In this study we evaluated the bene t of the proposed penalty function for lesion detection using real data. A high-count real patient data with no identi able tumor inside the eld of view was used as the background data. A Na-22 point source was scanned in air at variable locations and the point source data were superimposed onto the patient data as arti cial lesions after being attenuated by the patient body. Independent Poisson noise was added to the high-count sinograms to generate 200 pairs of lesion-present and lesion-absent data sets, each mimicking a 5-minute scans. Lesion detectability was assessed using a multiview CHO and a human observer two alternative forced choice (2AFC) experiment. The results showed that the optimized penalty can improve lesion detection over the conventional quadratic penalty function.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
PublisherSPIE
Volume9037
ISBN (Print)9780819498304
DOIs
StatePublished - 2014
EventMedical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment - San Diego, CA, United States
Duration: Feb 16 2014Feb 17 2014

Other

OtherMedical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CitySan Diego, CA
Period2/16/142/17/14

Fingerprint

Computer-Assisted Image Processing
image reconstruction
Image reconstruction
penalties
lesions
Maximum likelihood
evaluation
penalty function
Information Storage and Retrieval
Computer Simulation
Tomography
Noise
Tumors
Air
point sources
Computer simulation
Neoplasms
Experiments
tumors
tomography

Keywords

  • Lesion detection
  • MvCHO
  • Penalized likelihood reconstruction
  • PET

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Yang, L., Ferrero, A., Hagge, R. J., Badawi, R. D., & Qi, J. (2014). Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 9037). [90370K] SPIE. https://doi.org/10.1117/12.2042918

Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection. / Yang, Li; Ferrero, Andrea; Hagge, Rosalie J; Badawi, Ramsey D; Qi, Jinyi.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9037 SPIE, 2014. 90370K.

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

Yang, L, Ferrero, A, Hagge, RJ, Badawi, RD & Qi, J 2014, Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 9037, 90370K, SPIE, Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, United States, 2/16/14. https://doi.org/10.1117/12.2042918
Yang L, Ferrero A, Hagge RJ, Badawi RD, Qi J. Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9037. SPIE. 2014. 90370K https://doi.org/10.1117/12.2042918
Yang, Li ; Ferrero, Andrea ; Hagge, Rosalie J ; Badawi, Ramsey D ; Qi, Jinyi. / Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9037 SPIE, 2014.
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