Automation and Preclinical Evaluation of a Dedicated Emission Mammotomography System for Fully 3-D Molecular Breast Imaging

Abstract

The overall objective of this proposal is to automate the acquisition sequences and optimize the performance of a 3-D dedicated SPECT breast imaging system. A retrospective study of 103 clinical MRI uncompressed breast scans was conducted to create surface renderings of the uncompressed breasts and analyze how to adapt existing acquisition orbits for varying breast shapes. Automated laser-guided SPECT contouring hardware and software were implemented. An observer-based study directly comparing 3D dedicated SPECT and 2D planar scintimammography was completed, concluding that statistically significantly (p<0.05) more lesions, smaller lesion sizes, and lesion locations were detected with dedicated breast SPECT than with compressed breast scintimammography. As a result of this work, the now fully automated SPECTCT breast imaging system, with the ability to dynamically contour any sized breast, can potentially improve detection and characterization of small (<1cm) early stage breast cancer and provides a patient-flexible imaging modality ready for clinical testing.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2009
Accession Number
ADA530593

Entities

People

  • Spencer J. Cutler

Organizations

  • Duke University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Automation
  • Biomedical Engineering
  • Breast Cancer
  • Data Acquisition
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Imaging Techniques
  • Measurement
  • Medical Personnel
  • Neoplasms
  • Nuclear Medicine
  • Three Dimensional
  • Tomography
  • Two Dimensional
  • X-Ray Computed Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Computer Vision.
  • Medical Imaging.

Technology Areas

  • Directed Energy
  • Space
  • Space - Space Objects