5 papers
From Narrow to Wide: Autoencoding Transformers for Ultrasound Bandwidth Recovery
Sepideh KhakzadGharamaleki, Hassan Rivaz, Brandon Helfield
Conventional pulse-echo ultrasound suffers when low-cost probes deliver only narrow fractional bandwidths, elongating pulses and erasing high-frequency detail. We address this limi…
Evaluating Detection Thresholds: The Impact of False Positives and Negatives on Super-Resolution Ultrasound Localization Microscopy
Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz
Super-resolution ultrasound imaging with ultrasound localization microscopy (ULM) offers a high-resolution view of microvascular structures. Yet, ULM image quality heavily relies o…
Ensemble Learning for Microbubble Localization in Super-Resolution Ultrasound
Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz
Super-resolution ultrasound (SR-US) is a powerful imaging technique for capturing microvasculature and blood flow at high spatial resolution. However, accurate microbubble (MB) loc…
Deformable-Detection Transformer for Microbubble Localization in Ultrasound Localization Microscopy
Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz
To overcome the half a wavelength resolution limitations of ultrasound imaging, microbubbles (MBs) have been utilized widely in the field. Conventional MB localization methods are…
Transformer-Based Microbubble Localization
Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz
Ultrasound Localization Microscopy (ULM) is an emerging technique that employs the localization of echogenic microbubbles (MBs) to finely sample and image the microcirculation beyo…