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Jihun Jihun Kim joined us about a year ago with an interesting question: can we do STED style super-resolution imaging in ultrasound? I said we have to try! He did and it worked! Check out our preprint paper: biorxiv.org/content/10.110…

Another exciting #superresolution #ultrasound imaging study published in IEEE TBME! These amazing vascular images revealed combination therapy effects between chemotherapy and anti-angiogenic agents on colorectal carcinoma tumors. doi.org/10.1109/TBME.2…

Check out our latest publication in IEEE TUFFC! We designed a pixel oriented adaptive apodization to improve coherent plane-wave compounding. This technique has great potential for a multiple of imaging modalities based on #UltrafastUltrasound imaging. doi.org/10.1109/TUFFC.…

Check out our new work on 3D ultrasound shear wave elastography using the 2D row-column-addressing array! The high volume rate and low channel count provide a clear pathway for future clinical translation. biorxiv.org/content/10.110…

Excited to have this work published in collaboration with Llano Laboratory @BeckmanInst ! Check out our open access paper here: rdcu.be/cEQbv

Congrats to Jihun Kim who accepted a faculty position at Kangnam University and Matthew Lowerison who received the Beckman postdoctoral fellowship!! Jihun we hate to see you go but wish you all the best for the next stage of your career!

Check out our latest paper by Qi You in IEEE-TMI! We developed a curvelet-based sparsity-promoting method to accelerate super-resolution imaging. Our method uses 80% less data, providing a robust solution for shortening super-res data acquisition. doi.org/10.1109/TMI.20…

Meet Beckman's 2022 class of postdoctoral fellows. 🎉 They'll blend the institute's mission to build a better world with the #ILLINOIS spirit of innovation, tackling grand challenges from cancer research to medical imaging. 🌍 🧪 Read about the cohort➡️bit.ly/BIFellows2022

Honored to be featured in this great article from The Grainger College of Engineering with Computational Imaging Science Laboratory (CISL) and Oelze Lab. University of Illinois is known for excellent biomedical ultrasound research for 75+ years. We are very proud to contribute to this ongoing story. grainger.illinois.edu/news/limitless…

In this paper we demonstrate the robustness of deep learning-based microbubble (MB) localization for super-resolution imaging, especially under high MB concentrations. Our results also indicate the need of temporal MB information for further improvement. doi.org/10.1109/TUFFC.…

Many scientists consider the complex relationship between Alzheimer's disease and the brain's vascular system to be a "chicken and egg" problem.🧠 With new ultrasound imaging tools, #ILLINOIS researchers are making "quantum leaps" toward understanding it▶️bit.ly/3AyKdkP

Many thanks to @BeckmanInst again for another great article featuring our collaboration with Llano Laboratory!

Inspired by #fULM from Tanter Mickael, we also generated videos of microbubbles moving inside a mouse brain. This is indeed a very cool way of presenting #ULM data and showing what blood flow looks like in brain tissue!

And here is the full hemisphere of the brain!

We're thrilled to receive a NIBIB R01 grant to develop a novel probe clip-on device that instantly converts 2D ultrasound to 3D, with ultrafast imaging capabilities. Thanks to our collaborators' (Shigao Chen and Jun Zou) help, this application was ranked at 2 percentile!

@SongLabUIUC at the The Grainger College of Engineering Research Fair!

In this preprint we introduce CS Doppler, a deep generative neural network-based technique that super-resolves microvessels without using contrast microbubbles. This work was lead by Qi You and in collaboration with Computational Imaging Science Laboratory (CISL) and Llano Laboratory.

Check out our super-resolution ultrasound brain imaging preprint on mice with Alzheimer's disease. We found that the early stage of the disease presented with decreased blood flow velocity in vulnerable brain regions. Llano Laboratory @BeckmanInst

Huge congratulations to Matthew Lowerison and YiRangShin who worked so hard to help the @SongLabUIUC clinch the winner award for the super-resolution imaging challenge (in vivo) at @ieeeius 2022!

Check out our new paper led by Zhijie Dong where we present a new version of the FASTER probe clip-on device that enables high volume-rate, multimodal 3D ultrasound imaging with regular 1D ultrasound probes (B-mode, Doppler, and super-resolution imaging). doi.org/10.1101/2023.0…