Prof. Hamid Dehghani
Professor of Medical Imaging at Univ of Birmingham
SPIE Involvement:
Conference Program Committee | Author | Editor | Instructor
Publications (87)

Proceedings Article | 25 February 2020
Proc. SPIE. 11224, Optics and Ionizing Radiation
KEYWORDS: Tumors, Tissues, 3D modeling, Pancreas, Bioluminescence, In vivo imaging, Pancreatic cancer, Animal model studies

SPIE Journal Paper | 21 August 2019
NPh Vol. 6 Issue 03
KEYWORDS: Brain, Image quality, Phase measurement, Near infrared, Tissue optics, Data modeling, Absorption, Sensors, Neurophotonics, Point spread functions

Proceedings Article | 19 July 2019
Proc. SPIE. 11073, Clinical and Preclinical Optical Diagnostics II
KEYWORDS: Infrared imaging, Mid-IR, FT-IR spectroscopy, Wound healing, Interfaces, Infrared spectroscopy, Cell death, Infrared radiation, Live cell imaging

Proceedings Article | 11 July 2019
Proc. SPIE. 11074, Diffuse Optical Spectroscopy and Imaging VII
KEYWORDS: Scattering, Spectroscopy, Oximeters, Biomedical engineering, Optical instrument design, Standards development, Absorption, Diffuse optical imaging

Proceedings Article | 11 July 2019
Proc. SPIE. 11074, Diffuse Optical Spectroscopy and Imaging VII
KEYWORDS: Scattering, Spectroscopy, Oxygen, Near infrared spectroscopy, Tissue optics, Algorithm development, Oximetry, Light, Brain

Showing 5 of 87 publications
Proceedings Volume Editor (4)

SPIE Conference Volume | 22 August 2019

SPIE Conference Volume | 28 September 2017

SPIE Conference Volume | 30 July 2015

SPIE Conference Volume | 25 June 2013

Conference Committee Involvement (10)
Optical Tomography and Spectroscopy of Tissue XIV
23 January 2021 | San Francisco, California, United States
Clinical Biophotonics
6 April 2020 | Online Only, France
Diffuse Optical Spectroscopy and Imaging
23 June 2019 | Munich, Germany
Optical Tomography and Spectroscopy of Tissue XIII
4 February 2019 | San Francisco, California, United States
Diffuse Optical Spectroscopy and Imaging VI
25 June 2017 | Munich, Germany
Showing 5 of 10 Conference Committees
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>
SC824: Diffuse Light Transport in Tissue and Diffuse Tomography Reconstruction using MATLAB
This course teaches how to model light propagation with finite element programming, utilizing the easy-to-use style of MATLAB. The NIRFAST shareware software package developed at Dartmouth College (freely distributed for academic research) is used as the backbone to start modeling within the first few minutes of the course. The software incorporates image reconstruction algorithms which work for most diffuse tomography applications, and geometries. The class will review the basic physics of the approach, step through how the software works, and the visualization capabilities of the package will be explored for a number of geometries. Image reconstruction from multispectral data is demonstrated and image reconstruction from luminescent sources is also demonstrated.
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