@article{Xia2025, 
author = {ShuJun Xia and YuHang Zheng and Qing Hua and MinYan Wei and Jing Wen and XiaoMao Luo and JiPing Yan and BaoYan Bai and Fang Liu and YiJie Dong and JianQiao Zhou and  on behalf of The Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound},
title = {Super-Resolution Ultrasound-Based Habitat Imaging: A Consensus Statement},
year = {2025},
journal = {Advanced Ultrasound in Diagnosis and Therapy},
volume = {9},
number = {2},
pages = {97-102},
keywords = {Super-resolution ultrasound, Habitat imaging, Tumor heterogeneity},
url = {https://www.sciopen.com/article/10.37015/AUDT.2025.250025},
doi = {10.37015/AUDT.2025.250025},
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.}
}