Fast inter-frame motion correction in contrast-free ultrasound quantitative microvasculature imaging using deep learning
Abstract Contrast-free ultrasound quantitative microvasculature imaging shows promise in several applications, including the assessment of benign and malignant lesions. However, motion represents one of the major challenges in imaging tumor microvessels in organs that are prone to physiological moti...
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| Main Authors: | Manali Saini, Mostafa Fatemi, Azra Alizad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-10-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-77610-4 |
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