Corrective 111In Capromab Pendetide SPECT Image Reconstruction Methods for Improved Detection of Recurrent Prostate Cancer

Abstract

It is generally recognized that (111)In capromab pendetide (PS) scans are technically challenging to perform and interpret, particularly with regard to pelvic SPECT studies used to detect possible disease in the prostate fossa and pelvic lymph node (LN). The hypothesis of this proposal is that the superior spatial resolution, high image contrast, and much reduced image artifacts that result from the corrective SPECT image reconstruction methods would substantially aid in the detection and diagnosis of prostate cancer. To test our hypothesis, we propose five specific aims: (1) to develop simulation tools and methods that allow efficient generation of accurate (111)In PS projection data from the human pelvic area, (2) to study the effects of 3D image degrading factors on (111)In PS SPECT images, (3) to develop 3D corrective image reconstruction methods for (111)In PS SPECT that provide much improved image quality and quantitative accuracy by incorporating models of the 3D image degrading factors, (4) to evaluate the 3D corrective image reconstruction methods for clinical (111)In PS SPECT studies using simulated patient data, and Hotelling and human observer studies, and (5) to evaluate the clinical efficacy of the corrective image reconstruction methods as applied to (111)In PS SPECT using patient data.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2003
Accession Number
ADA415331

Entities

People

  • Benjamin M. Taui

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Attenuation
  • Biomedical Research
  • Blood Vessels
  • Collimators
  • Detection
  • Detectors
  • Diagnostic Imaging
  • High Energy
  • Image Reconstruction
  • Monte Carlo Method
  • Neoplasms
  • North Carolina
  • Pelvis
  • Prostate
  • Prostate Cancer
  • Simulations

Fields of Study

  • Medicine
  • Physics

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Optical Physics and Photonics.
  • Trauma Surgery or Emergency Medicine.