Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Conference on Lasers and Electro-Optics
  • OSA Technical Digest (Optica Publishing Group, 1993),
  • paper CTuG6

Coherent gates for two-dimensional medical imaging using stimulated Raman scattering

Not Accessible

Your library or personal account may give you access

Abstract

It is an established fact that laser imaging through a high-scattering medium like biological tissue is possible with short pulse gates or broadband coherent long pulse gates. Short optical pulses (100 fs-30 ps) can be used with various short gates to separate the first image bearing portions of the optical pulse from the scattered light that comes later, long broadband pulses have some advantages over short pulses such as higher ANSI limit for incident laser energy. It was recognized that holography can be used as a gate for long laser pulses.1 However, it requires equal light intensities in two interfering beams for a good contrast. It is desirable to have gates with a good contrast to keep exposure levels ίο a minimum. Recently, we showed that a nonlinear optical process, coherent anti-Stokes Raman scattering (CARS), provides a high contrast coherent gate. CARS has the disadvantage of one-dimensional imaging or short interaction length, which limits conversion efficiency.

© 1993 Optical Society of America

PDF Article
More Like This
Nonlinear optical coherent gates for medical imaging

M. Bashkansky and J. Reintjes
CThB2 Conference on Lasers and Electro-Optics (CLEO:S&I) 1992

New nonlinear-optical technique for 2-D gated medical imaging with longlaser pulses

M. Bashkansky, C.L. Adler, and J. Reintjes
MG.5 OSA Annual Meeting (FIO) 1993

Time-gated imaging In thick tissues using stimulated Raman amplification

M. D. Duncan, J. Reintjes, R. Mahon, and L. L. Tankersley
CTuN91 Conference on Lasers and Electro-Optics (CLEO:S&I) 1993

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.