A joint reconstruction and lambda tomography regularization technique for energy-resolved x-ray imaging-Reference-Cited by-同舟云学术

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A joint reconstruction and lambda tomography regularization technique for energy-resolved x-ray imaging

Published:2020-07-01 Issue:7 Volume:36 Page:074002
ISSN:0266-5611
Container-title:Inverse Problems
language:
Short-container-title:Inverse Problems

Author:

W Webber James^ORCID,Quinto Eric Todd^ORCID,Miller Eric L

Funder

U.S. National Science Foundation

U.S. Department of Homeland Security, Science and Technology Directorate, Office of University Programs

Publisher

IOP Publishing

Subject

Applied Mathematics,Computer Science Applications,Mathematical Physics,Signal Processing,Theoretical Computer Science

Link

https://iopscience.iop.org/article/10.1088/1361-6420/ab8f82/pdf

Reference57 articles.

1. A geometric approach to joint inversion with applications to contaminant source zone characterization

2. Preface to special issue on joint reconstruction and multi-modality/multi-spectral imaging

3. Color TV: total variation methods for restoration of vector-valued images

4. Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data

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1. Generalized Abel equations and applications to translation invariant Radon transforms;Journal of Inverse and Ill-posed Problems;2023-11-30

2. Foreword to special issue of Inverse Problems on modern challenges in imaging;Inverse Problems;2023-02-03

3. Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography;SIAM/ASA Journal on Uncertainty Quantification;2023-01-25

4. Research biography of a distinguished expert in the field of inverse problems: Professor Eric Todd Quinto;Journal of Inverse and Ill-posed Problems;2022-06-25

5. Microlocal properties of seven-dimensional lemon and apple Radon transforms with applications in Compton scattering tomography;Inverse Problems;2022-05-03

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