Journal
SENSORS
Volume 21, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/s21072417
Keywords
super-resolution; ultrasound imaging; deep learning; clinical applications
Funding
- National Research Foundation of Korea (NRF) - Korea government (MSIT) [2020R1C1C1009488, NRF-2018R1A5A1025511]
- Korea Medical Device Development Fund - Korea government (the Ministry of Science and ICT) [202011C01]
- Korea Medical Device Development Fund - Korea government (Ministry of Trade, Industry and Energy) [202011C01]
- Korea Medical Device Development Fund - Korea government (Ministry of Health & Welfare, Republic of Korea) [202011C01]
- Korea Medical Device Development Fund - Korea government (Ministry of Food and Drug Safety) [202011C01]
- National Research Foundation of Korea [2020R1C1C1009488] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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Super-resolution ultrasound imaging can noninvasively identify microvasculature, providing a promising approach for diagnosing and monitoring diseases. Current preclinical applications have been conducted in various animals and disease models.
Abnormal changes of the microvasculature are reported to be key evidence of the development of several critical diseases, including cancer, progressive kidney disease, and atherosclerotic plaque. Super-resolution ultrasound imaging is an emerging technology that can identify the microvasculature noninvasively, with unprecedented spatial resolution beyond the acoustic diffraction limit. Therefore, it is a promising approach for diagnosing and monitoring the development of diseases. In this review, we introduce current super-resolution ultrasound imaging approaches and their preclinical applications on different animals and disease models. Future directions and challenges to overcome for clinical translations are also discussed.
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