TY - JOUR
T1 - Comparison of different numerical treatments for x-ray phase tomography of soft tissue from differential phase projections
AU - Pelliccia, Daniele
AU - Vaz, Raquel
AU - Svalbe, Imants
AU - Morgan, Kaye S.
AU - Marathe, Shashidhara
AU - Xiao, Xianghui
AU - Assoufid, Lahsen
AU - Anderson, Rebecca A.
AU - Topczewski, Jacek
AU - Bryson-Richardson, Robert J.
PY - 2015/4/21
Y1 - 2015/4/21
N2 - X-ray imaging of soft tissue is made difficult by their low absorbance. The use of x-ray phase imaging and tomography can significantly enhance the detection of these tissues and several approaches have been proposed to this end. Methods such as analyzer-based imaging or grating interferometry produce differential phase projections that can be used to reconstruct the 3D distribution of the sample refractive index. We report on the quantitative comparison of three different methods to obtain x-ray phase tomography with filtered back-projection from differential phase projections in the presence of noise. The three procedures represent different numerical approaches to solve the same mathematical problem, namely phase retrieval and filtered back-projection. It is found that obtaining individual phase projections and subsequently applying a conventional filtered back-projection algorithm produces the best results for noisy experimental data, when compared with other procedures based on the Hilbert transform. The algorithms are tested on simulated phantom data with added noise and the predictions are confirmed by experimental data acquired using a grating interferometer. The experiment is performed on unstained adult zebrafish, an important model organism for biomedical studies. The method optimization described here allows resolution of weak soft tissue features, such as muscle fibers.
AB - X-ray imaging of soft tissue is made difficult by their low absorbance. The use of x-ray phase imaging and tomography can significantly enhance the detection of these tissues and several approaches have been proposed to this end. Methods such as analyzer-based imaging or grating interferometry produce differential phase projections that can be used to reconstruct the 3D distribution of the sample refractive index. We report on the quantitative comparison of three different methods to obtain x-ray phase tomography with filtered back-projection from differential phase projections in the presence of noise. The three procedures represent different numerical approaches to solve the same mathematical problem, namely phase retrieval and filtered back-projection. It is found that obtaining individual phase projections and subsequently applying a conventional filtered back-projection algorithm produces the best results for noisy experimental data, when compared with other procedures based on the Hilbert transform. The algorithms are tested on simulated phantom data with added noise and the predictions are confirmed by experimental data acquired using a grating interferometer. The experiment is performed on unstained adult zebrafish, an important model organism for biomedical studies. The method optimization described here allows resolution of weak soft tissue features, such as muscle fibers.
KW - phase contrast
KW - x-ray tomography
KW - zebrafish
UR - http://www.scopus.com/inward/record.url?scp=84927618292&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84927618292&partnerID=8YFLogxK
U2 - 10.1088/0031-9155/60/8/3065
DO - 10.1088/0031-9155/60/8/3065
M3 - Article
C2 - 25802946
AN - SCOPUS:84927618292
VL - 60
SP - 3065
EP - 3080
JO - Physics in Medicine and Biology
JF - Physics in Medicine and Biology
SN - 0031-9155
IS - 8
M1 - 3065
ER -