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Sensitivity of a partially learned model‐based reconstruction algorithm
Author(s) -
Boink Yoeri E.,
van Gils Stephan A.,
Manohar Srirang,
Brune Christoph
Publication year - 2018
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201800222
Subject(s) - robustness (evolution) , convolutional neural network , tomography , sensitivity (control systems) , computer science , algorithm , iterative reconstruction , photoacoustic tomography , artificial intelligence , engineering , optics , physics , electronic engineering , biochemistry , chemistry , gene
We replace part of a model‐based iterative algorithm with a convolutional neural network in order to improve the quality of tomography reconstructions. We analyse its robustness against uncertainties in the image and uncertainties in system settings. Results are presented for the application of photoacoustic tomography in a limited angle setup.