Download Diffuse optical tomography : principles and applications by Huabei Jiang PDF

By Huabei Jiang

ISBN-10: 1439847584

ISBN-13: 9781439847589

''Based on close to infrared optical applied sciences and model-based inverse computations, DOT is an imaging procedure which can supply spatial distributions of intrinsic tissue optical homes via model-based reconstruction algorithms utilizing NIR measurements alongside or close to the boundary of tissue. This booklet covers nearly each point of DOT--from arithmetic, reconstruction algorithms, instrumentation, and phantom Read more...

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Extra info for Diffuse optical tomography : principles and applications

Sample text

Iftimia continued to build the second automatic 16-PMT–based multichannel DOT system based on entirely CW optical techniques. 3). D. S. degree in electrical engineering. 4). The third system uses 10 laser wavelengths and allows fast 3D imaging data acquisition. These three systems have been successfully tested in over 200 human subjects for breast cancer detection (see Chapter 8). An effective calibration method plays a critical role in obtaining highquality image reconstruction, because not only can it reduce the measurement noise effect but also minimize the differences between the mathematical model/reconstruction algorithm and experimental data.

From H. , Optical Image Reconstruction Using Frequency-Domain Data: Simulations and Experiments, J. of Optical Society of America A, 13, 253–266, 1996. 28 mm). The off-centered target is located at 3 o’clock (about 10 mm away from the center of the phantom). Source: H. , Optical Image Reconstruction Using FrequencyDomain Data: Simulations and Experiments, J. of Optical Society of America A, 13, 253–266, 1996. 15, where frequencies from 50 MHz to 300 MHz for the centered target location configuration were used.

1 are included. 4 Simulated simultaneous reconstruction of both diffusion and absorption coefficients with 2:1 contrast for an eccentrically located target. (a) Exact D image; (b) D reconstruction with no noise added; (c) D reconstruction with 1% random noise added; (d) D reconstruction with 5% random noise added; (e) exact µa image; (f) µa reconstruction with no noise added; (g) µa reconstruction with 1% random noise added; and (h) µa reconstruction with 5% random noise added. (From H. , Optical Image Reconstruction Using Frequency-Domain Data: Simulations and Experiments, J.

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