hahnec/rf-ulm
RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts
This project helps medical researchers and clinicians create highly detailed images of blood flow at a microscopic level using ultrasound. It takes raw radio-frequency ultrasound data and processes it to produce super-resolution ultrasound localization microscopy (ULM) images, revealing tiny vessels and flow patterns. This is ideal for scientists studying microvascular structures or clinicians needing enhanced diagnostic detail.
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Use this if you need to generate super-resolution images of microvascular networks from raw ultrasound radio-frequency data to visualize intricate blood flow patterns.
Not ideal if you lack access to raw radio-frequency ultrasound data or are primarily interested in standard B-mode ultrasound imaging.
Stars
36
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9
Language
Python
License
GPL-3.0
Category
Last pushed
Sep 05, 2024
Commits (30d)
0
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