
Proceedings Paper
Improved DOT reconstruction by estimating the inclusion location using artificial neural networkFormat | Member Price | Non-Member Price |
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Paper Abstract
Diffuse optical tomography (DOT), a noninvasive imaging modality, uses near infrared light to illuminate the tissue and
reconstructs the optical parameters of the tissue from the intensity measurements at the surface. Here continuous wave
measurement with improved localization is proposed to make the overall instrument inexpensive. Due to the non-unique
solution of the inverse problem, prior information improves the resolution of the reconstructed image. An artificial neural
network (ANN) based approach is developed to obtain the location of the inclusion. The peak amplitude, 50% and 10%
bandwidth and their corresponding source-detector angles of the difference intensity plot with and without the inclusion
are taken as the input. The offset distance between the source and centre of inclusion, the angle with x-axis, sample and
inclusion radii are the output of the 2 layered error back propagation neural network. Least square optimization with
regularization term is used to minimize the mean squared error for image reconstruction. The optical parameters are
updated using the prior information from the ANN. The parameters present in double the region of detected area only are
updated. The performance of the proposed method has been assessed quantitatively by computing the mean square error,
object centroid error and misclassification ratio. The use of prior improves the convergence and reduces the presence of
ghost or noise. Hence the proposed method shows potential to improve DOT reconstruction.
Paper Details
Date Published: 6 March 2013
PDF: 7 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86684C (6 March 2013); doi: 10.1117/12.2007905
Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)
PDF: 7 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86684C (6 March 2013); doi: 10.1117/12.2007905
Show Author Affiliations
Rusha Patra, Indian Institute of Technology Kharagpur (India)
Pranab K. Dutta, Indian Institute of Technology Kharagpur (India)
Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)
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