Data‐driven methods for quantitative imaging

Abstract: In the field of quantitative imaging, the image information at a pixel or voxel in an underlying domain entails crucial information about the imaged matter. This is particularly important in medical imaging applications, such as quantitative magnetic resonance imaging (qMRI), where quantitative maps of biophysical parameters can characterize the imaged tissue and thus lead to more accurate diagnoses. Such quantitative values can also be useful in subsequent, automatized classification tasks in order to discriminate normal from abnormal tissue, for instance. The accurate reconstruction of these quantitative maps is typically achieved by solving two coupled inverse problems which involve a (forward) measurement operator, typically ill‐posed, and a physical process that links the wanted quantitative parameters to the reconstructed qualitative image, given some underlying measurement data. In this review, by considering qMRI as a prototypical application, we provide a mathematically‐oriented overview on how data‐driven approaches can be employed in these inverse problems eventually improving the reconstruction of the associated quantitative maps.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Data‐driven methods for quantitative imaging ; day:06 ; month:11 ; year:2024 ; extent:35
GAMM-Mitteilungen / Gesellschaft für Angewandte Mathematik und Mechanik ; (06.11.2024) (gesamt 35)

Creator
Dong, Guozhi
Flaschel, Moritz
Hintermüller, Michael
Papafitsoros, Kostas
Sirotenko, Clemens
Tabelow, Karsten

DOI
10.1002/gamm.202470014
URN
urn:nbn:de:101:1-2411081315413.246382239221
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:21 AM CEST

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Associated

  • Dong, Guozhi
  • Flaschel, Moritz
  • Hintermüller, Michael
  • Papafitsoros, Kostas
  • Sirotenko, Clemens
  • Tabelow, Karsten

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