Blind Restoration of High-Resolution Ultrasound Video

Chu CHEN; Kangning CUI; Pasquale CASCARANO; Wei TANG; Elena Loli PICCOLOMINI; Raymond H. CHAN

doi:10.1007/978-3-032-04947-6_8

Blind Restoration of High-Resolution Ultrasound Video

Chu CHEN^*
, Kangning CUI
, Pasquale CASCARANO
, Wei TANG
, Elena Loli PICCOLOMINI
, Raymond H. CHAN

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

3 Citations (Scopus)

Abstract

Ultrasound imaging is widely applied in clinical practice, yet ultrasound videos often suffer from low signal-to-noise ratios (SNR) and limited resolutions, posing challenges for diagnosis and analysis. Variations in equipment and acquisition settings can further exacerbate differences in data distribution and noise levels, reducing the generalizability of pre-trained models. This work presents a self-supervised ultrasound video super-resolution algorithm called Deep Ultrasound Prior (DUP). DUP employs a video-adaptive optimization process of a neural network that enhances the resolution of given ultrasound videos without requiring paired training data while simultaneously removing noise. Quantitative and visual evaluations demonstrate that DUP outperforms existing super-resolution algorithms, leading to substantial improvements for downstream applications.

Original language	English
Title of host publication	Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part III
Editors	James C. GEE, Daniel C. ALEXANDER, Jaesung HONG, Juan Eugenio IGLESIAS, Carole H. SUDRE, Archana VENKATARAMAN, Polina GOLLAND, Jong Hyo KIM, Jinah PARK
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	77-87
Number of pages	11
ISBN (Electronic)	9783032049476
ISBN (Print)	9783032049469
DOIs	https://doi.org/10.1007/978-3-032-04947-6_8
Publication status	Published - 2026
Event	28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - Daejeon, Korea, Republic of Duration: 23 Sept 2025 → 27 Sept 2025

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	15962
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025
Country/Territory	Korea, Republic of
City	Daejeon
Period	23/09/25 → 27/09/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Funding

This work is partially supported by HKRGC (grant number CityU11301120, C1013-21GF, CityU11309922, CityU9380162), ITF (grant number LU BGR 105824, MHP/054/22), and the InnoHK initiative of the Innovation and Technology Commission of the Hong Kong Special Administrative Region Government.

Keywords

Deep Image Prior
Ejection Fraction
Self-supervised Learning
Ultrasound
Video Super-resolution

Access to Document

10.1007/978-3-032-04947-6_8

Cite this

CHEN, C., CUI, K., CASCARANO, P., TANG, W., PICCOLOMINI, E. L., & CHAN, R. H. (2026). Blind Restoration of High-Resolution Ultrasound Video. In J. C. GEE, D. C. ALEXANDER, J. HONG, J. E. IGLESIAS, C. H. SUDRE, A. VENKATARAMAN, P. GOLLAND, J. H. KIM, & J. PARK (Eds.), Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part III (pp. 77-87). (Lecture Notes in Computer Science; Vol. 15962). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-04947-6_8

CHEN, Chu ; CUI, Kangning ; CASCARANO, Pasquale et al. / Blind Restoration of High-Resolution Ultrasound Video. Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part III. editor / James C. GEE ; Daniel C. ALEXANDER ; Jaesung HONG ; Juan Eugenio IGLESIAS ; Carole H. SUDRE ; Archana VENKATARAMAN ; Polina GOLLAND ; Jong Hyo KIM ; Jinah PARK. Springer Science and Business Media Deutschland GmbH, 2026. pp. 77-87 (Lecture Notes in Computer Science).

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title = "Blind Restoration of High-Resolution Ultrasound Video",

abstract = "Ultrasound imaging is widely applied in clinical practice, yet ultrasound videos often suffer from low signal-to-noise ratios (SNR) and limited resolutions, posing challenges for diagnosis and analysis. Variations in equipment and acquisition settings can further exacerbate differences in data distribution and noise levels, reducing the generalizability of pre-trained models. This work presents a self-supervised ultrasound video super-resolution algorithm called Deep Ultrasound Prior (DUP). DUP employs a video-adaptive optimization process of a neural network that enhances the resolution of given ultrasound videos without requiring paired training data while simultaneously removing noise. Quantitative and visual evaluations demonstrate that DUP outperforms existing super-resolution algorithms, leading to substantial improvements for downstream applications.",

keywords = "Deep Image Prior, Ejection Fraction, Self-supervised Learning, Ultrasound, Video Super-resolution",

author = "Chu CHEN and Kangning CUI and Pasquale CASCARANO and Wei TANG and PICCOLOMINI, \{Elena Loli\} and CHAN, \{Raymond H.\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 ; Conference date: 23-09-2025 Through 27-09-2025",

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CHEN, C, CUI, K, CASCARANO, P, TANG, W, PICCOLOMINI, EL & CHAN, RH 2026, Blind Restoration of High-Resolution Ultrasound Video. in JC GEE, DC ALEXANDER, J HONG, JE IGLESIAS, CH SUDRE, A VENKATARAMAN, P GOLLAND, JH KIM & J PARK (eds), Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part III. Lecture Notes in Computer Science, vol. 15962, Springer Science and Business Media Deutschland GmbH, pp. 77-87, 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, Daejeon, Korea, Republic of, 23/09/25. https://doi.org/10.1007/978-3-032-04947-6_8

Blind Restoration of High-Resolution Ultrasound Video. / CHEN, Chu; CUI, Kangning; CASCARANO, Pasquale et al.
Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part III. ed. / James C. GEE; Daniel C. ALEXANDER; Jaesung HONG; Juan Eugenio IGLESIAS; Carole H. SUDRE; Archana VENKATARAMAN; Polina GOLLAND; Jong Hyo KIM; Jinah PARK. Springer Science and Business Media Deutschland GmbH, 2026. p. 77-87 (Lecture Notes in Computer Science; Vol. 15962).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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AU - CHAN, Raymond H.

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CHEN C, CUI K, CASCARANO P, TANG W, PICCOLOMINI EL, CHAN RH. Blind Restoration of High-Resolution Ultrasound Video. In GEE JC, ALEXANDER DC, HONG J, IGLESIAS JE, SUDRE CH, VENKATARAMAN A, GOLLAND P, KIM JH, PARK J, editors, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part III. Springer Science and Business Media Deutschland GmbH. 2026. p. 77-87. (Lecture Notes in Computer Science). Epub 2025 Sept 21. doi: 10.1007/978-3-032-04947-6_8