Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Geethika Weliwitigoda"'
Autor:
Jana M Kainerstorfer, Yang Yu, Geethika Weliwitigoda, Pamela G Anderson, Angelo Sassaroli, Sergio Fantini
Publikováno v:
PLoS ONE, Vol 8, Iss 3, p e58510 (2013)
We present a method for depth discrimination in parallel-plate, transmission mode, diffuse optical imaging. The method is based on scanning a set of detector pairs, where the two detectors in each pair are separated by a distance δDi along direction
Externí odkaz:
https://doaj.org/article/9b48e17a0133413b986bbeaae94f993f
Autor:
Sonal Ambwani, Joseph Fonte, Ibrahim Bechwati, Geethika Weliwitigoda, Eric M. Bailey, Matthew Dickman
Publikováno v:
Neurophotonics and Brain Mapping ISBN: 9781315373058
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ba0969ceecbce2e2e518e7ad97cb250
https://doi.org/10.1201/9781315373058-28
https://doi.org/10.1201/9781315373058-28
Autor:
Sergio Fantini, Angelo Sassaroli, Geethika Weliwitigoda, Pamela G. Anderson, Jana M. Kainerstorfer
Publikováno v:
SPIE Proceedings.
We present diffuse optical mammography images that capitalize on the large optical absorption contrast (two orders of magnitude) between blood vessels and breast tissue, thus displaying breast vasculature. We have found a good correspondence between
Autor:
Pamela G. Anderson, Jana M. Kainerstorfer, Sergio Fantini, Geethika Weliwitigoda, Angelo Sassaroli, Yang Yu
Publikováno v:
PLoS ONE
PLoS ONE, Vol 8, Iss 3, p e58510 (2013)
PLoS ONE, Vol 8, Iss 3, p e58510 (2013)
We present a method for depth discrimination in parallel-plate, transmission mode, diffuse optical imaging. The method is based on scanning a set of detector pairs, where the two detectors in each pair are separated by a distance δDi along direction
Autor:
Geethika Weliwitigoda, Roni Cantor-Balan, Pamela G. Anderson, Fridrik Larusson, Angelo Sassaroli, Eric L. Miller, Sergio Fantini
Publikováno v:
Biomedical Optics and 3-D Imaging.
We implement a parametric level-set (PaLS) method to reconstruct images for diffuse optical tomography (DOT). The method uses a large dictionary matrix with a hard l1 norm constraint allowing for accurate recovery of a wide array of shapes.