Invertible neural networks for uncertainty quantification in photoacoustic imaging
Multispectral photoacoustic imaging (PAI) is an emerging imaging modality that enables the recovery of functional tissue parameters such as blood oxygenation. However, the underlying inverse reconstruction problems are potentially ill-posed, meaning that radically different tissue properties may-in...
Gespeichert in:
| Hauptverfasser: | , , , , , , , |
|---|---|
| Dokumenttyp: | Kapitel/Artikel Konferenzschrift |
| Sprache: | Deutsch |
| Veröffentlicht: |
27 February 2021
|
| In: |
Bildverarbeitung für die Medizin 2021
Year: 2021, Pages: 330-335 |
| Online-Zugang: |
|
| Verfasserangaben: | Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1868967328 | ||
| 003 | DE-627 | ||
| 005 | 20231104040858.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231102s2021 xx |||||o 00| ||ger c | ||
| 024 | 7 | |a 10.1007/978-3-658-33198-6_80 |2 doi | |
| 035 | |a (DE-627)1868967328 | ||
| 035 | |a (DE-599)KXP1868967328 | ||
| 035 | |a (OCoLC)1407258054 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a ger | ||
| 084 | |a 33 |2 sdnb | ||
| 100 | 1 | |a Nölke, Jan-Hinrich |e VerfasserIn |0 (DE-588)1197270973 |0 (DE-627)1679066692 |4 aut | |
| 245 | 1 | 0 | |a Invertible neural networks for uncertainty quantification in photoacoustic imaging |c Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein |
| 264 | 1 | |c 27 February 2021 | |
| 300 | |a 6 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 02.11.2023 | ||
| 520 | |a Multispectral photoacoustic imaging (PAI) is an emerging imaging modality that enables the recovery of functional tissue parameters such as blood oxygenation. However, the underlying inverse reconstruction problems are potentially ill-posed, meaning that radically different tissue properties may-in theory-yield comparable measurements. In this work, we present a new approach for handling this specific type of uncertainty using conditional invertible neural networks. We propose going beyond commonly used point estimates for tissue oxygenation and convert single-pixel initial pressure spectra to the full posterior probability density. This way, the inherent ambiguity of a problem can be encoded with multiple modes in the output. Based on the presented architecture, we demonstrate two use cases that leverage this information to not only detect and quantify but also to compensate for uncertainties: (1) photoacoustic device design and (2) optimization of photoacoustic image acquisition. Our in silico studies demonstrate the potential of the proposed methodology to become an important building block for uncertainty-aware reconstruction of physiological parameters with PAI. | ||
| 533 | |a Reproduktion |f Informatik aktuell | ||
| 700 | 1 | |a Adler, Tim |d 1991- |e VerfasserIn |0 (DE-588)1194987672 |0 (DE-627)1677181680 |4 aut | |
| 700 | 1 | |a Gröhl, Janek |d 1991- |e VerfasserIn |0 (DE-588)1197628673 |0 (DE-627)1679293109 |4 aut | |
| 700 | 1 | |a Kirchner, Thomas |d 1990- |e VerfasserIn |0 (DE-588)1194034772 |0 (DE-627)1675788871 |4 aut | |
| 700 | 1 | |a Ardizzone, Lynton |d 1994- |e VerfasserIn |0 (DE-588)1194988512 |0 (DE-627)1677182296 |4 aut | |
| 700 | 1 | |a Rother, Carsten |e VerfasserIn |0 (DE-588)1181464692 |0 (DE-627)1662676883 |4 aut | |
| 700 | 1 | |a Köthe, Ullrich |e VerfasserIn |0 (DE-588)123963435 |0 (DE-627)594480884 |0 (DE-576)304484520 |4 aut | |
| 700 | 1 | |a Maier-Hein, Lena |d 1980- |e VerfasserIn |0 (DE-588)1075029252 |0 (DE-627)832869899 |0 (DE-576)190090804 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |a Bildverarbeitung für die Medizin (Veranstaltung : 2021 : Regensburg) |t Bildverarbeitung für die Medizin 2021 |d Wiesbaden : Springer Vieweg, 2021 |g (2021), Seite 330-335 |h 1 Online-Ressource (XXV, 361 Seiten) |w (DE-627)1750018055 |z 9783658331986 |7 nnam |
| 773 | 1 | 8 | |g year:2021 |g pages:330-335 |g extent:6 |a Invertible neural networks for uncertainty quantification in photoacoustic imaging |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Nölke, Jan-Hinrich |t Invertible neural networks for uncertainty quantification in photoacoustic imaging |d 2021 |w (DE-627)1832521117 |
| 951 | |a AR | ||
| 992 | |a 20231102 | ||
| 993 | |a ConferencePaper | ||
| 994 | |a 2021 | ||
| 998 | |g 1075029252 |a Maier-Hein, Lena |m 1075029252:Maier-Hein, Lena |d 50000 |e 50000PM1075029252 |k 0/50000/ |p 8 |y j | ||
| 998 | |g 123963435 |a Köthe, Ullrich |m 123963435:Köthe, Ullrich |d 700000 |d 708070 |e 700000PK123963435 |e 708070PK123963435 |k 0/700000/ |k 1/700000/708070/ |p 7 | ||
| 998 | |g 1181464692 |a Rother, Carsten |m 1181464692:Rother, Carsten |d 700000 |d 708070 |e 700000PR1181464692 |e 708070PR1181464692 |k 0/700000/ |k 1/700000/708070/ |p 6 | ||
| 998 | |g 1194988512 |a Ardizzone, Lynton |m 1194988512:Ardizzone, Lynton |d 110000 |e 110000PA1194988512 |k 0/110000/ |p 5 | ||
| 998 | |g 1194987672 |a Adler, Tim |m 1194987672:Adler, Tim |d 110000 |e 110000PA1194987672 |k 0/110000/ |p 2 | ||
| 998 | |g 1197270973 |a Nölke, Jan-Hinrich |m 1197270973:Nölke, Jan-Hinrich |d 130000 |e 130000PN1197270973 |k 0/130000/ |p 1 |x j | ||
| 999 | |a KXP-PPN1868967328 |e 4400732398 | ||
| BIB | |a Y | ||
| JSO | |a {"physDesc":[{"extent":"6 S."}],"title":[{"title_sort":"Invertible neural networks for uncertainty quantification in photoacoustic imaging","title":"Invertible neural networks for uncertainty quantification in photoacoustic imaging"}],"relHost":[{"physDesc":[{"noteIll":"Illustrationen","extent":"1 Online-Ressource (XXV, 361 Seiten)"}],"title":[{"subtitle":"proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021","title_sort":"Bildverarbeitung für die Medizin 2021","title":"Bildverarbeitung für die Medizin 2021"}],"part":{"text":"(2021), Seite 330-335","year":"2021","pages":"330-335","extent":"6"},"person":[{"display":"Palm, Christoph","role":"edt","family":"Palm","given":"Christoph"},{"given":"Thomas M.","display":"Deserno, Thomas M.","family":"Deserno","role":"edt"},{"given":"Heinz","family":"Handels","role":"edt","display":"Handels, Heinz"},{"given":"Andreas","role":"edt","family":"Maier","display":"Maier, Andreas"},{"given":"Klaus H.","role":"edt","family":"Maier-Hein","display":"Maier-Hein, Klaus H."},{"given":"Thomas","role":"edt","family":"Tolxdorff","display":"Tolxdorff, Thomas"}],"language":["ger"],"disp":"Bildverarbeitung für die Medizin (Veranstaltung : 2021 : Regensburg)Bildverarbeitung für die Medizin 2021","name":{"displayForm":["Christoph Palm, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Thomas Tolxdorff (Hrsg.)"]},"corporate":[{"display":"Bildverarbeitung für die Medizin (2021, Regensburg)","role":"aut"}],"origin":[{"dateIssuedDisp":"[2021]","publisherPlace":"Wiesbaden","dateIssuedKey":"2021","publisher":"Springer Vieweg"}],"recId":"1750018055","id":{"isbn":["9783658331986"],"eki":["1750018055"],"doi":["10.1007/978-3-658-33198-6"]},"type":{"media":"Online-Ressource","bibl":"book"}}],"person":[{"given":"Jan-Hinrich","display":"Nölke, Jan-Hinrich","role":"aut","family":"Nölke"},{"given":"Tim","family":"Adler","role":"aut","display":"Adler, Tim"},{"given":"Janek","display":"Gröhl, Janek","role":"aut","family":"Gröhl"},{"given":"Thomas","display":"Kirchner, Thomas","role":"aut","family":"Kirchner"},{"given":"Lynton","display":"Ardizzone, Lynton","role":"aut","family":"Ardizzone"},{"role":"aut","family":"Rother","display":"Rother, Carsten","given":"Carsten"},{"display":"Köthe, Ullrich","family":"Köthe","role":"aut","given":"Ullrich"},{"display":"Maier-Hein, Lena","family":"Maier-Hein","role":"aut","given":"Lena"}],"note":["Gesehen am 02.11.2023"],"language":["ger"],"name":{"displayForm":["Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein"]},"origin":[{"dateIssuedKey":"2021","dateIssuedDisp":"27 February 2021"}],"id":{"eki":["1868967328"],"doi":["10.1007/978-3-658-33198-6_80"]},"recId":"1868967328","type":{"media":"Online-Ressource","bibl":"chapter"}} | ||
| SRT | |a NOELKEJANHINVERTIBLE2720 | ||