Deep imaging of prostate cancer using diffusion reconstruction of banana paths with near infrared prostatoscope analyzer Book Section

  


Authors: Pu, Y.; Wang, W.; Xu, M.; Eastham, J. A.; Alfano, R. R.
Editors: Shi, L.; Alfano, R. R.
Article/Chapter Title: Deep imaging of prostate cancer using diffusion reconstruction of banana paths with near infrared prostatoscope analyzer
Abstract: The theory of OPTICA was first proposed by Xu et al. [6]. ICA, the core of OPTICA, is a solution to the blind source separation problems, which is a class of the problems that no precise knowledge is available on neither the mixing channels nor the sources [6]. Typically the observations are the output of a set of sensors, where each sensor receives a set of mixed source signals [15]. The algorithm of OPTICA is based on that ICA of the perturbations in the spatial intensity distributions provides the corresponding independent intensity distributions (IID) on the detector planes [15]. 11.2.1 Clean Image Synthesis Fast inversion algorithms require as input the scattering field due to the sought-after targets. This scattering field is the difference between the measured intensity distribution of backscattering light and a clean image of the homogeneous host medium without any embedded targets. The image for a target-free host medium is not available in most applications and must be generated from the measured data set of the medium with targets embedded inside. Denote the recorded images I(γd, γs), where γd covers the whole 2D array (for example, γd enumerates all pixels on a CCD image) for a series of beam scanning positions at γs on the sample surface (zd = zs = 0). One crude method to obtain the image of the host medium is simply the average of all the array images after shifting the scanning position to the origin. © 2017 Pan Stanford Publishing Pte. Ltd. All rights reserved.
Book Title: Deep Imaging in Tissue and Biomedical Materials: Using Linear and Nonlinear Optical Methods
ISBN: 978-981-4745-88-8
Publisher: Pan Stanford Publishing Pte Ltd  
Publication Place: Singapore
Date Published: 2017-01-01
Start Page: 353
End Page: 376
Language: English
PROVIDER: scopus
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054286714&doi=10.1201%2f9781315206554&partnerID=40&md5=b35785616347a840afc71a66f38bc1e8
Notes: Book Chapter: 11 -- Export Date: 1 November 2018 -- Source: Scopus