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Research

Image-guided NIR Spectroscopy (NIH Grant RO1 CA069544)

IG-NIRS provides deep tissue functional characterization at high resolution. This approach combines conventional imaging techniques such as MRI and CT with optical NIR technologies, giving information directly relating to the vascular and metabolic status of tissue in-vivo.


Epithelial and Stromal Imaging (NIH Grant PO1 CA080139)

Scattered light measured from tissue can be uniquely correlated to tissue substructure, function and progression of disease. The ultrastructural information provided by scatter may render optical techniques valuable to diagnosis.


Photodynamic Therapy for Cancer Treatment (NIH Grant PO1 CA084203)

Photodynamic therapy is a laser-based treatment with administration of a photosensitizer drug, which kills tissue in similar ways to chemotherapy, but is directly by the application of the light. This is commonly now used together with other adjuvant therapies, and the optimization of delivery and the ability to image and track response and predict outcome is a focus of this research.



MRI-Guided Fluorscence Tomography of Xenograft Glioma Tumors (NIH Grant RO1 CA109558)

The ability to image tumors in vivo where the contrast mechanism is based upon the molecular features of the tissue is a major goal. Epidermal Growth Factor (EGF) receptor status can be imaged and monitored non-invasively with fluorescence tomography, and when this is combined with MRI, the structure and function can be tracked. The optimal way to extract molecular imaging information is a primary goal of this work.



MicroCT Guided Fluorescence Tomography (NIH Grant RO1 CA120368)

The ability to combine imaging systems where one system’s strengths complement the other’s weaknesses is an important area of imaging sciences. The combination of microComputed Tomography (uCT) with x-rays and fluorescence optical tomography provides the unique ability to see structure and molecular function in the same imaging platform. A unique hybrid instrument was created with funding from the NIH and ART Inc, and is being tested currently.



NIRFAST (NIH Grant R01 CA132750)

The major goal of this project is to develop and disseminate a key computational resource for integration of Near-Infrared Spectroscopy (NIRS) into Magnetic Resonance Imaging (MRI). NIRFAST is an open source FEM based software package designed for modeling Near Infrared Frequency domain light transport in tissue.



Near-Infrared Spectroscopy and Imaging of Breast Cancer (NIH Grant PO1 CA080139)

Breast cancer imaging technologies are critical to find better ways to manage disease throughout the diagnosis and treatment process. Near-infrared monitoring of neoadjuvant chemotherapy is a major clinical trial ongoing with a system developed at Dartmouth.


A Boundary Element Method (BEM) for MRI/NIR Spectroscopy and image-guided fluorescence (NIH Grant R01 EB007966)

BEM-based approach provides computationally efficient models for 3D image-guided NIR spectroscopy and fluorescence that use only surface discretization. These models are geared towards automating image recovery for clinical use; visualization platforms for these models based on VTK/ITK are also being developed.





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