• DocumentCode
    462578
  • Title

    Human-observer LROC study of lesion detection in Ga-67 SPECT images reconstructed using MAP with anatomical priors

  • Author

    Lehovich, Andre ; Bruyant, Philippe P. ; Gifford, Howard C. ; Schneider, Peter B. ; Squires, Shane ; Licho, Robert ; Gindi, Gene ; King, Michael A.

  • Author_Institution
    Div. of Nucl. Medicine, Univ. of Massachusetts Med. Sch., Worcester, MA
  • Volume
    3
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    1699
  • Lastpage
    1702
  • Abstract
    We compare the image quality of SPECT reconstruction with and without an anatomical prior. Area under the localization-response operating characteristic (LROC) curve is our figure of merit. Simulated Ga-67 citrate images, a SPECT lymph-nodule imaging agent, were generated using the MCAT digital phantom. Reconstructed images were read by human observers. Several reconstruction strategies are compared, including rescaled block iterative (RBI) and maximum-a-posteriori (MAP) with various priors. We find that MAP reconstruction using prior knowledge of organ and lesion boundaries significantly improves lesion-detection performance (p < 0.05). Pseudo-lesion boundaries, regions without increased uptake which are incorrectly treated as prior knowledge of lesion boundaries, do not decrease performance.
  • Keywords
    medical image processing; sensitivity analysis; single photon emission computed tomography; Ga-67 citrate; LROC; MAP reconstruction; MCAT digital phantom; SPECT; lesion detection; localization-response operating characteristic curve; lymph-nodule imaging agent; maximum-a-posteriori reconstruction; pseudolesion boundary; rescaled block iterative; single photon emission computed tomography; Biomedical imaging; Computed tomography; Humans; Image quality; Image reconstruction; Imaging phantoms; Lesions; Reconstruction algorithms; Smoothing methods; X-ray imaging; LROC; SPECT reconstruction; anatomical priors; human observer study;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2006. IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1095-7863
  • Print_ISBN
    1-4244-0560-2
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2006.354226
  • Filename
    4179339