Prof. Scott C. Davis
Associate Professor at Dartmouth College
SPIE Involvement:
Author | Instructor
Publications (79)

Proceedings Article | 29 March 2024 Poster + Paper
Kristen Chen, Chengpei Li, Xiaoyao Fan, Scott Davis, Linton Evans, Keith Paulsen
Proceedings Volume 12928, 1292828 (2024) https://doi.org/10.1117/12.3006905
KEYWORDS: Brain, Image segmentation, Feature extraction, Neuroimaging, Image registration, Volume rendering, Brain mapping, Magnetic resonance imaging, Neurosurgery, 3D modeling

Proceedings Article | 13 March 2024 Presentation
Proceedings Volume PC12825, PC128250B (2024) https://doi.org/10.1117/12.3023331
KEYWORDS: Fluorescence, Tumors, Neurosurgery, Magnetic resonance imaging, Animals, Surgery, Spatial resolution, Resection, Molecules, Lead

Proceedings Article | 13 March 2024 Presentation
Linton Evans, Lei Wang, Augustino Scorzo, Rendall Strawbridge, Scott Davis, Summer Gibbs
Proceedings Volume PC12825, PC128250S (2024) https://doi.org/10.1117/12.3023422
KEYWORDS: Fluorescence, Surgery, Tumors, Target designation, Resection, Molecules, Blood brain barrier, Toxicity, Proteins, In vitro testing

Proceedings Article | 13 March 2024 Poster + Paper
Augustino Scorzo, Caleb Kwon, Brook Byrd, Rendall Strawbridge, Aarun Devgan, Jennifer Hong, Scott Davis
Proceedings Volume 12821, 128210A (2024) https://doi.org/10.1117/12.3014624
KEYWORDS: Fluorescence, Visualization, Microscopy, Preclinical imaging

Proceedings Article | 13 March 2024 Poster + Paper
Caleb Kwon, Augustino Scorzo, Rendall Strawbridge, Ryan Duke, William Warner, Kristen Chen, Chengpei Li, Xiaoyao Fan, David Roberts, Keith Paulsen, Scott Davis
Proceedings Volume 12825, 128250E (2024) https://doi.org/10.1117/12.3005564
KEYWORDS: Fluorescence, Tumors, RGB color model, Animal model studies, Magnetic resonance imaging, Imaging systems, Resection, Contrast agents, Animals, Fluorophores

Showing 5 of 79 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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