Optical Coherence Tomography of the Breast: A Feasibility Study

Abstract

Optical Coherence Tomography (OCT) is an emerging high-resolution imaging technology that can perform high resolution, real-time cross-sectional imaging of tissue. OCT can be used as a type of "optical biopsy to perform minimally-invasive imaging up to a depth of 2-3 mm with transverse resolutions as high as 10 um in commercially available systems. OCT uses near-infrared light which can be used in fiber optic devices such as catheter probes and imaging needles. This novel imaging technology has the potential to improve cancer detection and diagnosis. The aim of this study was to determine the feasibility of applying OCT imaging to normal and pathologic human breast tissue, as well as other human tissues. OCT was used to image samples of breast tissue from core biopsy and surgical specimens. Architectural changes such as stromal hyperplasia and fat necrosis were detected with OCT. Normal lactiferous ducts were visible. Since the last report we improved OCT resolution by applying spectroscopic and microscopy techniques to enhance tissue contrast. These improvements allowed better visualization of microstructural features in normal and pathologic breast tissue. Studies were performed imaging other tissues with better defined architectural morphology including thyroid and lower GI tissues, and good correlation of OCT images and histology was obtained.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA442942

Entities

People

  • James L. Connolly

Organizations

  • Beth Israel Deaconess Medical Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Cancer
  • Carcinoma
  • Colon
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Gastrointestinal Tract
  • Gray Scale
  • Health Services
  • High Resolution
  • Imaging Techniques
  • Lasers
  • Light Sources
  • Necrosis
  • Optics
  • Thyroid Diseases
  • Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Image Processing and Computer Vision.
  • Oncology (Cancer Research).
  • Trauma Surgery or Emergency Medicine.