Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency-Reference-Cited by-同舟云学术

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Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency

Published:2019 Issue: Volume: Page:134-139
ISSN:1431-472X
Container-title:Informatik aktuell
language:
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Author:

Preuhs Alexander,Ravikumar Nishant,Manhart Michael,Stimpel Bernhard,Hoppe Elisabeth,Syben Christopher,Kowarschik Markus,Maier Andreas

Publisher

Springer Fachmedien Wiesbaden

Link

http://link.springer.com/content/pdf/10.1007/978-3-658-25326-4_29

Reference11 articles.

1. Psychogios M, Behme D, Schregel K, et al. One-stop management of acute stroke patients: minimizing door-to-reperfusion times. Stroke. 2017;.

2. Müller K, Maier A, Lauritsch G, et al. Image artefact propagation in motion estimation and reconstruction in cardiac C-arm CT. Proc PMB. 2014;.

3. Preuhs A, Maier A, Manhart M, et al. Double your views: exploiting symmetry in transmission imaging. Proc MICCAI. 2018;.

4. Frysch R, Rose G. Rigid motion compensation in C-arm CT using consistency measure on projection data. Proc MICCAI. 2015;.

5. Abdurahman S, Frysch R, Bismark R, et al. Beam hardening correction using cone beam consistency conditions. IEEE Trans med Imaging. 2018;.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Epipolar Consistency Conditions;Informatik aktuell;2024

2. A novel approach to 2D/3D registration of X-ray images using Grangeat’s relation;Medical Image Analysis;2021-01

3. Deep Learning-based Inaccuracy Compensation in Reconstruction of High Resolution XCT Data;Scientific Reports;2020-05-06

4. Symmetry prior for epipolar consistency;International Journal of Computer Assisted Radiology and Surgery;2019-07-12

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