Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learning
Shot noise is a critical issue in radiographic and tomographic imaging, especially when additional constraints lead to a significant reduction of the signal-to-noise ratio. This paper presents a method for improving the quality of noisy multi-channel imaging datasets, such as data from time or energ...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
Jul 2023
|
| In: |
Optics express
Year: 2023, Jahrgang: 31, Heft: 16, Pages: 26226-26244 |
| ISSN: | 1094-4087 |
| DOI: | 10.1364/OE.492221 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1364/OE.492221 Verlag, lizenzpflichtig, Volltext: https://opg.optica.org/oe/abstract.cfm?uri=oe-31-16-26226 
|
| Verfasserangaben: | Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker, Tilo Baumbach, Genoveva Burca, and Vincent Heuveline |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1861508034 | ||
| 003 | DE-627 | ||
| 005 | 20240307051159.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231011s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1364/OE.492221 |2 doi | |
| 035 | |a (DE-627)1861508034 | ||
| 035 | |a (DE-599)KXP1861508034 | ||
| 035 | |a (OCoLC)1425210733 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 28 |2 sdnb | ||
| 100 | 1 | |a Zharov, Yaroslav |d 1990- |e VerfasserIn |0 (DE-588)131249459X |0 (DE-627)1872296068 |4 aut | |
| 245 | 1 | 0 | |a Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learning |c Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker, Tilo Baumbach, Genoveva Burca, and Vincent Heuveline |
| 264 | 1 | |c Jul 2023 | |
| 300 | |b Illustrationen | ||
| 300 | |a 19 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online veröffentlicht am 24. Juli 2023 | ||
| 500 | |a Gesehen am 07.12.2023 | ||
| 520 | |a Shot noise is a critical issue in radiographic and tomographic imaging, especially when additional constraints lead to a significant reduction of the signal-to-noise ratio. This paper presents a method for improving the quality of noisy multi-channel imaging datasets, such as data from time or energy-resolved imaging, by exploiting structural similarities between channels. To achieve that, we broaden the application domain of the Noise2Noise self-supervised denoising approach. The method draws pairs of samples from a data distribution with identical signals but uncorrelated noise. It is applicable to multi-channel datasets if adjacent channels provide images with similar enough information but independent noise. We demonstrate the applicability and performance of the method via three case studies, namely spectroscopic X-ray tomography, energy-dispersive neutron tomography, and in vivo X-ray cine-radiography. | ||
| 650 | 4 | |a Image processing | |
| 650 | 4 | |a Image quality | |
| 650 | 4 | |a Image reconstruction | |
| 650 | 4 | |a Medical imaging | |
| 650 | 4 | |a Multichannel imaging | |
| 650 | 4 | |a Phase shift | |
| 700 | 1 | |a Ametova, Evelina |e VerfasserIn |4 aut | |
| 700 | 1 | |a Spiecker, Rebecca |e VerfasserIn |4 aut | |
| 700 | 1 | |a Baumbach, Tilo |e VerfasserIn |4 aut | |
| 700 | 1 | |a Burca, Genoveva |e VerfasserIn |4 aut | |
| 700 | 1 | |a Heuveline, Vincent |d 1968- |e VerfasserIn |0 (DE-588)1046579266 |0 (DE-627)776691880 |0 (DE-576)399904727 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Optics express |d Washington, DC : Optica, 1997 |g 31(2023), 16, Seite 26226-26244 |h Online-Ressource |w (DE-627)302718370 |w (DE-600)1491859-6 |w (DE-576)079876579 |x 1094-4087 |7 nnas |a Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learning |
| 773 | 1 | 8 | |g volume:31 |g year:2023 |g number:16 |g pages:26226-26244 |g extent:19 |a Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learning |
| 856 | 4 | 0 | |u https://doi.org/10.1364/OE.492221 |x Verlag |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 0 | |u https://opg.optica.org/oe/abstract.cfm?uri=oe-31-16-26226 |x Verlag |z lizenzpflichtig |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20231011 | ||
| 993 | |a Article | ||
| 994 | |a 2023 | ||
| 998 | |g 1046579266 |a Heuveline, Vincent |m 1046579266:Heuveline, Vincent |d 700000 |d 708000 |e 700000PH1046579266 |e 708000PH1046579266 |k 0/700000/ |k 1/700000/708000/ |p 6 |y j | ||
| 998 | |g 131249459X |a Zharov, Yaroslav |m 131249459X:Zharov, Yaroslav |d 110000 |e 110000PZ131249459X |k 0/110000/ |p 1 |x j | ||
| 999 | |a KXP-PPN1861508034 |e 4383893414 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"person":[{"family":"Zharov","role":"aut","display":"Zharov, Yaroslav","given":"Yaroslav"},{"display":"Ametova, Evelina","given":"Evelina","role":"aut","family":"Ametova"},{"given":"Rebecca","display":"Spiecker, Rebecca","role":"aut","family":"Spiecker"},{"given":"Tilo","display":"Baumbach, Tilo","role":"aut","family":"Baumbach"},{"family":"Burca","role":"aut","given":"Genoveva","display":"Burca, Genoveva"},{"given":"Vincent","display":"Heuveline, Vincent","family":"Heuveline","role":"aut"}],"recId":"1861508034","note":["Online veröffentlicht am 24. Juli 2023","Gesehen am 07.12.2023"],"language":["eng"],"name":{"displayForm":["Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker, Tilo Baumbach, Genoveva Burca, and Vincent Heuveline"]},"relHost":[{"disp":"Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learningOptics express","type":{"bibl":"periodical","media":"Online-Ressource"},"corporate":[{"role":"isb","display":"Optica"},{"role":"isb","display":"Optical Society of America"}],"pubHistory":["1.1997 -"],"note":["Gesehen am 10.01.2022","Herausgebendes Organ bis 2021: Optical Society of America"],"language":["eng"],"part":{"volume":"31","year":"2023","issue":"16","pages":"26226-26244","extent":"19","text":"31(2023), 16, Seite 26226-26244"},"origin":[{"dateIssuedDisp":"1997-","publisher":"Optica ; Optical Society of America, OSA","publisherPlace":"Washington, DC ; Washington, DC","dateIssuedKey":"1997"}],"title":[{"title_sort":"Optics express","title":"Optics express","subtitle":"the international electronic journal of optics"}],"physDesc":[{"extent":"Online-Ressource"}],"id":{"zdb":["1491859-6"],"issn":["1094-4087"],"eki":["302718370"]},"recId":"302718370","name":{"displayForm":["Optica"]}}],"origin":[{"dateIssuedDisp":"Jul 2023","dateIssuedKey":"2023"}],"title":[{"title_sort":"Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learning","title":"Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learning"}],"type":{"media":"Online-Ressource","bibl":"article-journal"},"physDesc":[{"noteIll":"Illustrationen","extent":"19 S."}],"id":{"doi":["10.1364/OE.492221"],"eki":["1861508034"]}} | ||
| SRT | |a ZHAROVYAROSHOTNOISER2023 | ||