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Open Access

Super-Resolution Ultrasound-Based Habitat Imaging: A Consensus Statement

ShuJun Xiaa,b,1, YuHang Zhenga,b,1, Qing Huaa,b,1, MinYan Weia,b, Jing Wenc, XiaoMao Luod, JiPing Yane, BaoYan Baif, Fang Liua,b( ), YiJie Donga,b( ), JianQiao Zhoua,b( ),  on behalf of The Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound
Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China
Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, Shaanxi, China

1 ShuJun Xia, YuHang Zheng and Qing Hua contributed equally to this study.

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Abstract

Recent advancements in medical imaging have greatly enhanced our understanding of tissue structure and disease mechanisms. Habitat imaging, which segments imaging data into distinct spatial subregions or "habitats, " offers valuable insights into the heterogeneous nature of tumors, challenging traditional treatment strategies and supporting precision medicine. Super-resolution ultrasound (SRUS) has emerged as a promising tool for habitat imaging by exceeding the diffraction limits of conventional ultrasound, thus enabling visualization of microcirculation at the micron scale. Unlike MRI, CT, and PET, SRUS offers superior resolution in depicting microvascular structures, providing complementary information that enhances our understanding of tissue perfusion and microcirculatory heterogeneity. SRUS-based habitat imaging can delineate vascular habitats with high precision, supporting dynamic analysis and offering potential benefits in oncology, such as assessing tumor aggressiveness and monitoring therapeutic responses. As SRUS technology continues to mature, it is poised to become an integral part of personalized medicine, with future studies focusing on standardizing protocols and validating biomarkers to integrate SRUS into routine clinical practice.

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Advanced Ultrasound in Diagnosis and Therapy
Pages 97-102

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Cite this article:
Xia S, Zheng Y, Hua Q, et al. Super-Resolution Ultrasound-Based Habitat Imaging: A Consensus Statement. Advanced Ultrasound in Diagnosis and Therapy, 2025, 9(2): 97-102. https://doi.org/10.37015/AUDT.2025.250025

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Received: 20 January 2025
Revised: 11 February 2025
Accepted: 23 February 2025
Published: 01 June 2025
© AUDT 2025

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.