TCRT December 2002

category image Volume 1
No. 6 (p 417-508)
December 2002
ISSN 1533-0338

Dual-Modality Imaging of Cancer with SPECT/CT (p. 449-458)

Dual-modality imaging is an in vivo diagnostic technique that obtains structural and functional information directly from patient studies in a way that cannot be achieved with separate imaging systems alone. Dual-modality imaging systems are configured by combining computed tomography (CT) with radionuclide imaging (using positron emission tomography (PET) or single-photon emission computed tomography (SPECT)) on a single gantry which allows both functional and structural imaging to be performed during a single imaging session without having the patient leave the imaging system. A SPECT/CT system developed at UCSF is being used in a study to determine if dual-modality imaging offers advantages for assessment of patients with prostate cancer using 111In-ProstaScint®, a radiolabeled antibody for the prostate-specific membrane antigen. 111In-ProstaScint® images are reconstructed using an iterative maximum-likelihood expectation-maximization (ML-EM) algorithm with correction for photon attenuation using a patient-specific map of attenuation coefficients derived from CT. The ML-EM algorithm accounts for the dual-photon nature of the 111In-labeled radionuclide, and incorporates correction for the geometric response of the radionuclide collimator. The radionuclide image then can be coregistered and overlaid in color on a grayscale CT image for improved localization of the functional information from SPECT. Radionuclide images obtained with SPECT/CT and reconstructed using ML-EM with correction for photon attenuation and collimator response improve image quality in comparison to conventional radionuclide images obtained with filtered backprojection reconstruction. These results illustrate the potential advantages of dual-modality imaging for improving the quality and the localization of radionuclide uptake for staging disease, planning treatment, and monitoring therapeutic response in patients with cancer.

Keywords: radionuclide imaging, computed tomography, tumor imaging.

Bruce H. Hasegawa, Ph.D.1,2,3,*
Kenneth H. Wong, Ph.D.1,2,3
Koji Iwata, Ph.D.1,3
William C. Barber, Ph.D.1,3
Andrew B. Hwang, B.S.1,2
Anne E. Sakdinawat, B.S.1,3
Mohan Ramaswamy, M.D.3
David C. Price, M.D.3
Randall A. Hawkins, M.D., Ph.D.2,3

1UCSF Physics Research Laboratory
389 Oyster Point Blvd., Suite 1
South San Francisco, CA 94080, USA
2Bioengineering Graduate Group
University of California San Francisco and University of California Berkeley
Box 0775, 4 Koret Way 101
San Francisco, CA 94143, USA
3Department of Radiology
University of California, Box 0628
San Francisco, CA 94143, USA
*bruceh@itsa.ucsf.edu

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