Reducing penumbral blur in computed tomography by learning the inverse finite focal spot model

Yu H, Liu C, Thies M, Wagner F, Wang A, Zhang G, Huang Y, Liu F, Maier A (2024)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2024

Journal

Optics Express Optical Society of America

Book Volume: 32

Pages Range: 23674-23686

Journal Issue: 13

DOI: 10.1364/OE.527304

Open Access Link: https://opg.optica.org/oe/fulltext.cfm?uri=oe-32-13-23674&id=551676

Authors with CRIS profile

Haijun Yu Lehrstuhl für Informatik 5 (Mustererkennung) Mareike Thies Lehrstuhl für Informatik 5 (Mustererkennung) Fabian Wagner Lehrstuhl für Informatik 5 (Mustererkennung) Yixing Huang Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Chongqing University (CQU) / 重庆大学 CN China (CN) Chongqing Medical University CN China (CN)

How to cite

APA:

Yu, H., Liu, C., Thies, M., Wagner, F., Wang, A., Zhang, G.,... Maier, A. (2024). Reducing penumbral blur in computed tomography by learning the inverse finite focal spot model. Optics Express, 32(13), 23674-23686. https://doi.org/10.1364/OE.527304

MLA:

Yu, Haijun, et al. "Reducing penumbral blur in computed tomography by learning the inverse finite focal spot model." Optics Express 32.13 (2024): 23674-23686.

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