• Motion score for spectral qual...

Treffer: Motion score for spectral quality control of optoacoustic-ultrasound data.

Title:
Motion score for spectral quality control of optoacoustic-ultrasound data.
Authors:
Kukačka J; Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health & School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; Institute of Biological and Medical Imaging, Bioengineering Center, Helmholtz Zentrum München, Neuherberg, Germany., Bader M; Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health & School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; Institute of Biological and Medical Imaging, Bioengineering Center, Helmholtz Zentrum München, Neuherberg, Germany., Jüstel D; Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health & School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; Institute of Biological and Medical Imaging, Bioengineering Center, Helmholtz Zentrum München, Neuherberg, Germany.; Institute of Computational Biology, Computational Health Center, Helmholtz Zentrum München, Neuherberg, Germany., Ntziachristos V; Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health & School of Computation, Information and Technology, Technical University of Munich, Munich, Germany. bioimaging.translatum@tum.de.; Institute of Biological and Medical Imaging, Bioengineering Center, Helmholtz Zentrum München, Neuherberg, Germany. bioimaging.translatum@tum.de.; Institute of Electronic Structure and Laser (IESL), Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece. bioimaging.translatum@tum.de.; Munich Institute of Biomedical Engineering (MIBE), Technical University of Munich, Garching b. München, Germany. bioimaging.translatum@tum.de.; Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany. bioimaging.translatum@tum.de.; DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich, Germany. bioimaging.translatum@tum.de.; Chair of Biological Imaging, Technical University of Munich, Ismaninger Straße 22, D-81675, Munich, Germany. bioimaging.translatum@tum.de.
Source:
Scientific reports [Sci Rep] 2026 Jan 10; Vol. 16 (1), pp. 1325. Date of Electronic Publication: 2026 Jan 10.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Imprint Name(s):
Original Publication: London : Nature Publishing Group, copyright 2011-
MeSH Terms:
Photoacoustic Techniques*/methods , Image Processing, Computer-Assisted*/methods, Ultrasonography/methods ; Humans ; Phantoms, Imaging ; Algorithms ; Motion ; Quality Control ; Movement
References:
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Contributed Indexing:
Keywords: Automatized image processing; Clinical imaging; Motion quantification; Optoacoustic imaging; Photoacoustic tomography; Standardization
Entry Date(s):
Date Created: 20260110 Date Completed: 20260112 Latest Revision: 20260115
Update Code:
20260115
PubMed Central ID:
PMC12796235
DOI:
10.1038/s41598-025-33753-6
PMID:
41519907
Database:
MEDLINE

Weitere Informationen

Motion can markedly affect the image quality acquired by handheld multispectral optoacoustic-ultrasound (MS-OPUS) hybrid systems. Since images at different wavelengths are acquired sequentially, tissue and operator movement can affect the spectra assigned to each volume element (voxels) in the images. To improve the accuracy of MS-OPUS spectral measurements, we sought to develop a method that could quantify and mitigate motion effects. We introduce Motion score, a post-processing algorithm for motion quantification and automated frame selection in MS-OPUS. Our method estimates motion in frames by tracking the similarity of co-registered ultrasound images and automatically selects low-motion frames. Algorithmic performance was validated on a dataset of ten scans, i.e., eight tissue-mimicking agar phantoms and two in vivo scans of arteries featuring different motion patterns. We show that Motion score had exceptionally high agreement with human annotators in selecting low-motion MS-OPUS frames, the gold standard process, while speeding up the process notably. Moreover, Motion score outperformed other methods such as optical flow or cross-correlation by a large margin. Furthermore, we show that frames with low Motion score were free of motion-related artefacts and have the optimal spectral quality. Finally, we provide an open-source implementation of Motion score as an off-the-shelf tool that can bring an immediate benefit to any clinical or preclinical MS-OPUS analysis pipeline.
(© 2025. The Author(s).)

Declarations. Competing interests: Vasilis Ntziachristos is a founder and equity owner of Maurus OY, sThesis GmbH, Biosense Innovations P.C., Spear UG and I3 Inc. All other authors declare no competing interests.