Development of a percutaneous optical imaging system for tracking vascular gene expression: A feasibility study using human tissue like phantoms

S. Kar, A. Kumar, X. Yang

Research output: Contribution to journalConference articlepeer-review

Abstract

Noninvasive tracking of vascular gene delivery and expression forms an important part of successfully implementing vascular gene therapy methods for the treatment of atherosclerosis and various cardiovascular disorders. While ultrasound and MR imaging have shown promise in the monitoring of gene delivery to the vasculatures, optical imaging has shown promise for tracking gene expression. Optical imaging using bioreporter genes like Green Fluorescent Protein (GFP), Red Fluorescent Protein (RFP) and Luciferase to track and localize the therapeutic gene have helped provide an in vivo detection method of the process. The usage of GFP and RFP entails the detection of the fluorescent signal emitted by them on excitation with light of appropriate wavelength. We have developed a novel percutaneous optical imaging system that may be used for in vivo tracking vascular fluorescent gene expression in deep-seated vessels. It is based on the detection of the fluorescent signal emitted from GFP tagged cells. This phantom study was carried out to investigate the performance of the optical imaging system and gain insights into its performance record and study improvisation possibilities.

Original languageEnglish (US)
Pages (from-to)646-653
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5367
DOIs
StatePublished - Oct 27 2004
EventProgress in Biomedical Optics and Imaging 2004 - Medical Imaging: Visualization, Image-Guided Procedures, and Display - San Diego, CA, United States
Duration: Feb 15 2004Feb 17 2004

Keywords

  • Fiber Optic Probes
  • Gene Expression.
  • Gene Therapy
  • Green Fluorescent Protein
  • Optical Imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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