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

Abstract

It is generally recognized that 111In 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 iii In PS projection data from the human pelvic area, (2) to study the effects of 3D image degrading factors on iii In PS SPECT images, (3) to develop 3D corrective image reconstruction methods for iii 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 iii 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 iii In PS SPECT using patient data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA462023

Entities

People

  • Benjamin M. Tsui

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Algorithms
  • Data Acquisition
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Diseases And Disorders
  • Image Reconstruction
  • Lymph Nodes
  • Lymphatic System
  • Monte Carlo Method
  • Neoplasms
  • Pelvis
  • Prostate
  • Prostate Cancer
  • Simulations

Fields of Study

  • Medicine
  • Physics

Readers

  • Neurological Diseases/Conditions/Disorders
  • Systems Analysis and Design
  • Vision Science/Vision Psychology/Cognitive Neuroscience.