Approximately 20,500 Americans will be diagnosed with a central nervous system tumor this year. Over half of those diagnosed will lose their lives. The mainstay of treatment for these patients has been surgical resection with radiation therapy. More recently, non-invasive pharmacotherapies have been developed to target inhibition of tumor angiogenesis. Evaluation of the vasculature during these treatment options is important and is aided by imaging modalities. However, the low resolution of ultrasound and cumbersome nature of MRI imaging present significant limitations. In addition, these modalities do not elucidate changes in tumor-associated microvasculature, which is important to investigate for angiogenesis-based research efforts. Thus, brain cancer research and therapeutic interventions would benefit from the development of imaging techniques to view high resolution, high contrast vascular images at the tumor site. We propose a new imaging modality based on the Laser Speckle (LS) phenomenon. LS optical imaging uses the random reflection nature of laser light to track the flow of blood at the vessel level. Unlike other modern imaging modalities, LS imaging does not require the use of a contrast agent and may be used at extremely high resolutions. We propose a Phase I effort focused on obtaining proof- of-concept for this imaging modality. Specifically, we will: """""""" Develop an LS imaging system complete with an image processing suite to: 1) enhance the visualization of tumor-associated microvasculature, and 2) create wide field images to better visualize blood vessels across broader areas of the exposed brain. The microvasculature will be enhanced using a ridge tracking algorithm, and wide field images will be created by stitching together individual high-resolution images using a mosaicking method. """""""" Validate the LS imaging technology in a rodent model of brain tumor by quantifying tumor vasculature using spatial calculations of Mean Vasculature Density and correlating with histological findings. The major milestone of Phase I is to produce high resolution and wide field images of tumor- associated vasculature with histological confirmation. If we are successful, we envision a Phase II effort focused on development of a LS imaging research prototype to track drug therapy and tumor angiogenesis in an animal model. The long-term goal is to build a clinical LS imaging device to improve visualization of surgical treatment in brain cancer patients.

Public Health Relevance

The goal of this project is to develop a novel imaging modality based on laser speckle for evaluating brain tumor angiogenesis. This technology can be used to test new tumor drug therapies and eventually assist with intra-operative vasculature imaging during tumor resection. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43CA139983-01
Application #
7536407
Study Section
Special Emphasis Panel (ZRG1-SBMI-T (10))
Program Officer
Kurtz, Andrew J
Project Start
2008-09-24
Project End
2010-08-31
Budget Start
2008-09-24
Budget End
2010-08-31
Support Year
1
Fiscal Year
2008
Total Cost
$252,460
Indirect Cost
Name
Infinite Biomedical Technologies, LLC
Department
Type
DUNS #
037376022
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Rege, Abhishek; Seifert, Alan C; Schlattman, Dan et al. (2012) Longitudinal in vivo monitoring of rodent glioma models through thinned skull using laser speckle contrast imaging. J Biomed Opt 17:126017
Rege, Abhishek; Thakor, Nitish V; Rhie, Kevin et al. (2012) In vivo laser speckle imaging reveals microvascular remodeling and hemodynamic changes during wound healing angiogenesis. Angiogenesis 15:87-98
Rege, Abhishek; Murari, Kartikeya; Seifert, Alan et al. (2011) Multiexposure laser speckle contrast imaging of the angiogenic microenvironment. J Biomed Opt 16:056006
Rege, Abhishek; Murari, Kartikeya; Li, Nan et al. (2010) Imaging microvascular flow characteristics using laser speckle contrast imaging. Conf Proc IEEE Eng Med Biol Soc 2010:1978-81