Dr. Hamid Dehghani
Senior Lecturer/Medical Imaging at Univ of Birmingham
SPIE Involvement:
Conference Chair | Conference Program Committee | Author | Editor | Instructor
Publications (75)

SPIE Journal Paper | August 17, 2018
NPh Vol. 5 Issue 03
KEYWORDS: Optical fibers, Sensors, Avalanche photodetectors, Signal to noise ratio, CMOS sensors, Computer programming, Imaging systems, Diffuse optical tomography, Neuroimaging, Visualization

SPIE Journal Paper | December 1, 2017
JBO Vol. 22 Issue 12
KEYWORDS: Computing systems, MATLAB, Diffuse optical tomography, Finite element methods, Systems modeling, Radium, Head, Computer simulations, Sensors, Parallel computing

SPIE Conference Volume | September 28, 2017

PROCEEDINGS ARTICLE | July 28, 2017
Proc. SPIE. 10412, Diffuse Optical Spectroscopy and Imaging VI

PROCEEDINGS ARTICLE | July 28, 2017
Proc. SPIE. 10412, Diffuse Optical Spectroscopy and Imaging VI
KEYWORDS: Parallel processing, Inverse problems, Diffuse optical tomography, Brain imaging

PROCEEDINGS ARTICLE | July 28, 2017
Proc. SPIE. 10411, Clinical and Preclinical Optical Diagnostics

Showing 5 of 75 publications
Conference Committee Involvement (7)
Diffuse Optical Spectroscopy and Imaging
23 June 2019 | Munich, Germany
Diffuse Optical Spectroscopy and Imaging VI
25 June 2017 | Munich, Germany
Diffuse Optical Imaging V
23 June 2015 | Munich, Germany
Diffuse Optical Imaging IV
12 May 2013 | Munich, Germany
Diffuse Optical Imaging III
22 May 2011 | Munich, Germany
Showing 5 of 7 published special sections
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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