Dr. Stephen C. Kanick
Senior Engineer at Profusa Inc
SPIE Involvement:
Senior status | Author | Instructor
Area of Expertise:
Biomedical Optics , Reflectance and fluorescence spectroscopy , Monte Carlo modeling , Clinical Translation
Publications (23)

Proc. SPIE. 10056, Design and Quality for Biomedical Technologies X
KEYWORDS: Microscopes, Optical spheres, Tissues, Scattering, Microscopy, Reflectivity, Monte Carlo methods, Objectives, Transmittance, Distributed interactive simulations

PROCEEDINGS ARTICLE | February 17, 2017
Proc. SPIE. 10059, Optical Tomography and Spectroscopy of Tissue XII
KEYWORDS: Optical filters, MATLAB, Modulation, Tissues, Imaging systems, Spatial frequencies, Scattering, Cameras, Blood, Video, Spectroscopy, Skin, Diagnostics, Demodulation, Optical spectroscopy, Projection systems, Optical tomography, RGB color model

PROCEEDINGS ARTICLE | February 15, 2017
Proc. SPIE. 10057, Multimodal Biomedical Imaging XII
KEYWORDS: Breast, Multimodal imaging, X-ray computed tomography, Breast cancer, Tumors, Visualization, Tissues, Surgery, Imaging systems, X-rays, Light scattering, Computing systems, Computed tomography, Tissue optics

SPIE Journal Paper | March 11, 2016
JBO Vol. 21 Issue 03
KEYWORDS: Luminescence, Tissue optics, Blood, Optical phantoms, Scattering, Absorption, Optical testing, Optical properties, Reflectivity, Tissues

Proc. SPIE. 9694, Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXV
KEYWORDS: Oncology, Photodynamic therapy, Cancer, Tumors, Tissues, Blood, Skin, Reflectivity, Oxygen, Radiotherapy, Optical spectroscopy, Optical tracking, Tissue optics

SPIE Journal Paper | February 1, 2016
JBO Vol. 21 Issue 06
KEYWORDS: Reflectivity, Luminescence, Optical properties, Mathematical modeling, Absorption, Blood, Tissues, Scattering, Data modeling, Error analysis

Showing 5 of 23 publications
Course Instructor
SC1152: Monte Carlo Modeling Explained
Monte Carlo modeling is widely used in biomedical optics to describe light transport in complicated situations where closed-form solutions to analytical models do not exist. While this standard definition describes Monte Carlo modeling as powerful and flexible, which it is, it also sounds overly-complicated, which it is not! This course will provide an introduction into both the theoretical concepts and real-world applications of Monte Carlo modeling of light transport in tissue. The course will provide an interactive description of how the stochastic sampling methods can be used to simulate individual photon-tissue interactions during photon propagation. Attendees will be also be given experience using basic Monte Carlo models and examples will highlight how to develop simulations that accurately mimic experimental measurements. This course would be instructive for anyone who is interested in using Monte Carlo models to guide design choices for new optical measurement approaches.
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