Incorporating Functional Imaging Information into rpFNA Analysis for Breast Cancer Detection in High Risk Women

Abstract

The overall goal of this work is to correlate the imaging information from the dual-modality, dedicated single photon emission computed tomography (SPECT) and computed tomography device with the results of random periareolar fine needle aspiration (rpFNA) in women at high risk for breast cancer. In this second year of work, efforts have been concentrated on quantifying the SPECT image signal by correctly modeling the physics in the reconstruction code including attenuation and scatter. Experiments were completed to show the quantification algorithm produces linear results from 0.03 uCi/mL to 30 uCi/mL. Additionally, further investigation into the potential of imaging the radioactive rpFNA needles with our current semiconductor camera revealed that it was not likely the needles would contain enough radioactivity to be distinguished above background. Work resulting from this project was presented at a local seminar and international conference this year and several manuscripts are being submitted for peer review.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA524522

Entities

People

  • Kristy L. Perez

Organizations

  • Duke University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Attenuation
  • Breast Cancer
  • Carcinoma
  • Data Acquisition
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Diseases And Disorders
  • Imaging Techniques
  • Institutional Review Board
  • Medical Personnel
  • Neoplasms
  • Nuclear Medicine
  • Tomography
  • X-Ray Computed Tomography

Fields of Study

  • Physics

Readers

  • Academic Conference Management
  • Medical Imaging.
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Microelectronics