• Feasibility analysis of micro-...

Treffer: Feasibility analysis of micro-structural ultrasound for scatterer reconstruction in medicine: an in silico study.

Title:
Feasibility analysis of micro-structural ultrasound for scatterer reconstruction in medicine: an in silico study.
Authors:
Rupinski MC; Institute of Medical Informatics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Aghamiry HS; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Chandia SK; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Meyer T; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Geisel D; Department of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Tzschätzsch H; Institute of Medical Informatics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Source:
Biomedical physics & engineering express [Biomed Phys Eng Express] 2026 Feb 12; Vol. 12 (2). Date of Electronic Publication: 2026 Feb 12.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE
Imprint Name(s):
Original Publication: Bristol : IOP Publishing Ltd., [2015]-
MeSH Terms:
Image Processing, Computer-Assisted*/methods , Computer Simulation*, Ultrasonography/methods ; Phantoms, Imaging ; Algorithms ; Signal-To-Noise Ratio ; Feasibility Studies ; Humans
Contributed Indexing:
Keywords: ADMM; image analysis; micrometer structure analysis; scatterer reconstruction; sparse regularization; ultrasound
Entry Date(s):
Date Created: 20260129 Date Completed: 20260212 Latest Revision: 20260212
Update Code:
20260212
DOI:
10.1088/2057-1976/ae3f37
PMID:
41610447
Database:
MEDLINE

Weitere Informationen

Although quantitative ultrasound has crossed the threshold from research tool to routine clinical adjunct, current techniques still only interrogate tissue at the millimeter scale. Direct, micrometer-resolved insight into tissue structure, comparable to histology, remains an unmet need. The Scatterer Reconstruction (ScatRec) method, a non-stationary, deconvolution-based technique, shows promise in addressing this need. We improved the ScatRec algorithm and introduced three upgrades to improve its robustness: (i) Anisotropic total-variation, (ii) a Gaussian-noise fidelity term, and (iii) amplitude bound constraints. Additionally we bridge the gap to real work application by utilizing a spatially invariant point spread function. We then evaluated the enhanced reconstruction capabilities usingin silicoscatterer phantoms. For the first time, we analyzed the resolution limits with several two-scatterer phantoms with different scatterer distances. We tested the reconstruction quality and accuracy with phantoms containing randomly distributed scatterers and a signal-to-noise ratio (SNR) ranging from infinity to 10. Our two-scatterer phantoms showed that our proposed method at 18 MHz has an effective scatterer resolution of 38.5 μm × 156 μm in the axial and lateral directions, respectively, which is 2.6 times better than conventional B-mode. For randomly distributed scatterers, we quantified the reconstruction quality (measured by the normalized correlation coefficient, NCC) and the accuracy (indicated by the relative deviation of the effective acoustic concentration, EAC, compared to the ground truth). Compared to the original ScatRec, the NCC improved 3.7-fold, and the EAC 15.5-fold across realistic SNR of 40. Our feasibility analysis suggests thatin vivomicro-structural ultrasound for scatterer reconstruction is within reach, opening a path toward "ultrasonic histology" for diseases that are currently diagnosed only by biopsy.
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