SIMULTANEOUS 3D X-RAY PTYCHO-TOMOGRAPHY WITH GRADIENT DESCENT. Barutcu, S., Ruiz, P., Schiffers, F., Aslan, S., Gursoy, D., Cossairt, O., & Katsaggelos, A. K. In 2020 IEEE International Conference on Image Processing (ICIP), volume 2020-Octob, pages 96–100, oct, 2020. IEEE, IEEE. ![SIMULTANEOUS 3D X-RAY PTYCHO-TOMOGRAPHY WITH GRADIENT DESCENT [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 1 download The acquisition model of a 3Dx-ray imaging system can be understood as the combination of two known techniques: tomography and ptychography. First, x-rays go through a 3D object producing a set of 2D tomographic projections at different angles. Then, a detector captures the magnitude of a diffraction pattern produced by the interaction of these projections with a finite-sized coherent beam spot (also called probe). In 2D ptychography, in order to solve this phase retrieval problem, the observations have to be captured with a large overlap between them. However, this constraint can be relaxed in 3Dx-ray imaging, due to the fact that most of the required redundant information is acquired thanks to the combination of tomography and ptychography. In this work, we address the so-called ptycho-tomography problem and introduce a 3D reconstruction method that uses the gradient descent algorithm. In the experimental section, the proposed method is evaluated and compared against state-of-art-methods.
@inproceedings{barutcu2020simultaneous,
abstract = {The acquisition model of a 3Dx-ray imaging system can be understood as the combination of two known techniques: tomography and ptychography. First, x-rays go through a 3D object producing a set of 2D tomographic projections at different angles. Then, a detector captures the magnitude of a diffraction pattern produced by the interaction of these projections with a finite-sized coherent beam spot (also called probe). In 2D ptychography, in order to solve this phase retrieval problem, the observations have to be captured with a large overlap between them. However, this constraint can be relaxed in 3Dx-ray imaging, due to the fact that most of the required redundant information is acquired thanks to the combination of tomography and ptychography. In this work, we address the so-called ptycho-tomography problem and introduce a 3D reconstruction method that uses the gradient descent algorithm. In the experimental section, the proposed method is evaluated and compared against state-of-art-methods.},
author = {Barutcu, Semih and Ruiz, Pablo and Schiffers, Florian and Aslan, Selin and Gursoy, Doga and Cossairt, Oliver and Katsaggelos, Aggelos K.},
booktitle = {2020 IEEE International Conference on Image Processing (ICIP)},
doi = {10.1109/ICIP40778.2020.9190775},
isbn = {978-1-7281-6395-6},
issn = {15224880},
keywords = {Phase retrieval,Ptychography,Reconstruction Algorithms,Three-Dimensional Image Processing,Tomography},
month = {oct},
organization = {IEEE},
pages = {96--100},
publisher = {IEEE},
title = {{SIMULTANEOUS 3D X-RAY PTYCHO-TOMOGRAPHY WITH GRADIENT DESCENT}},
url = {https://ieeexplore.ieee.org/document/9190775/},
volume = {2020-Octob},
year = {2020}
}
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