Prof. Scott C. Davis
Assistant Professor at Dartmouth Hitchcock Medical Ctr
SPIE Involvement:
Conference Program Committee | Author | Instructor
Publications (58)

SPIE Journal Paper | 10 August 2019
JBO Vol. 24 Issue 08
KEYWORDS: Short wave infrared radiation, Luminescence, Angiography, Brain, Spatial resolution, Image resolution, Blood, Imaging systems, Infrared imaging, Infrared radiation

SPIE Journal Paper | 8 March 2019
JBO Vol. 24 Issue 03
KEYWORDS: Short wave infrared radiation, Luminescence, Infrared radiation, Imaging systems, Infrared imaging, Fluorescence spectroscopy, Spectroscopy, Biomedical optics, Tissue optics, Cameras

Proceedings Article | 7 March 2019
Proc. SPIE. 10862, Molecular-Guided Surgery: Molecules, Devices, and Applications V
KEYWORDS: Tumors, Tissues, Surgery, Magnetic resonance imaging, Luminescence, Neuroimaging, Gadolinium, Blood brain barrier, Brain

Proceedings Article | 7 March 2019
Proc. SPIE. 10862, Molecular-Guided Surgery: Molecules, Devices, and Applications V
KEYWORDS: Tumor growth modeling, Tumors, Imaging systems, Magnetic resonance imaging, Tomography, Receptors, Fluorescence tomography, Plasma, Brain

Proceedings Article | 7 March 2019
Proc. SPIE. 10862, Molecular-Guided Surgery: Molecules, Devices, and Applications V
KEYWORDS: Infrared imaging, Short wave infrared radiation, Imaging systems, Cameras, Image processing, Luminescence, Tomography, Infrared radiation, Optical tomography, Tissue optics

Showing 5 of 58 publications
Conference Committee Involvement (1)
Diffuse Optical Imaging IV
12 May 2013 | Munich, Germany
Course Instructor
SC1088: Image-guided Tissue Spectroscopy and Image Reconstruction using NIRFAST: A hands-on course
This course will teach near-infrared light propagation modeling and image reconstruction in tissue using the freely distributed NIRFAST software package. NIRFAST is a widely-used, user-friendly package for modeling NIR light propagation in tissue and recovering images of optical parameters in arbitrarily-shaped tissue volumes. This course will use a combination of instructor lecturing and hands-on exercises to teach both conceptual and practical aspects of NIR imaging using the software. Attendees will be running and visualizing light propagation models within minutes and will also practice using image reconstruction algorithms for volumetric imaging of functional parameters such as hemoglobin concentration, oxygen saturation, water content, scattering parameters, as well as fluorescence and bioluminescence activity. The class will review the basic physics and biology of the approach, step through how the software works, and train attendees how to use the software through user exercises. More information about NIRFAST can be found at <a href="http://www.nirfast.org">http://www.nirfast.org</a>
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