Matthew Lowerison retweeted
Check out our new paper led by @Zhijie_D 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/10.1101/2023.03.07.5…
Matthew Lowerison retweeted
Huge congratulations to @MRLowerison and @yirangs2 who worked so hard to help the @SongLabUIUC clinch the winner award for the super-resolution imaging challenge (in vivo) at @ieeeius 2022!
Matthew Lowerison retweeted
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. @LlanoLaboratory @BeckmanInst – at Champaign, IL
Super-resolution ultrasound imaging of cerebrovascular impairment in a mouse model of Alzheimer's disease biorxiv.org/cgi/content/shor… #biorxiv_neursci
Matthew Lowerison retweeted
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 @QiYou2 and in collaboration with @AnastasioLab and @LlanoLaboratory.
Contrast-free Super-resolution Doppler (CS Doppler) based on Deep Generative Neural Networks
ift.tt/TUX5VNi
#biorxiv_bioE
Matthew Lowerison retweeted
We're thrilled to receive a @NIBIBgov 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' (@ShigaoChen and Jun Zou) help, this application was ranked at 2 percentile!
Matthew Lowerison retweeted
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
ALT From left: Pengfei Song, Dan Llano, Matthew Lowerison, and Nathiya Chandra Sekaran, members of the grant research team.
Matthew Lowerison retweeted
Many thanks to @BeckmanInst again for another great article featuring our collaboration with @LlanoLaboratory!
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
ALT From left: Pengfei Song, Dan Llano, Matthew Lowerison, and Nathiya Chandra Sekaran, members of the grant research team.
Matthew Lowerison retweeted
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.2022.3…
Matthew Lowerison retweeted
Honored to be featured in this great article from @uofigrainger with @AnastasioLab and Oelze Lab. @UofIllinois is known for excellent biomedical ultrasound research for 75+ years. We are very proud to contribute to this ongoing story.
grainger.illinois.edu/news/l…
Matthew Lowerison retweeted
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
ALT Beckman Institute's 2022 cohort of postdoctoral fellows, sitting on a couch in the Beckman Atrium. Top (left to right): Rong Guo, Matt Lowerison, Eman Hamed. Bottom (left to right): Natalia Krawczynska, Amir Ostadi Moghaddam, Chang Cao.
Matthew Lowerison retweeted
Check out our latest paper by @QiYou2 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.2022.316…
Matthew Lowerison retweeted
Congrats to @_JihunKim who accepted a faculty position at Kangnam University and @MRLowerison 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!
Matthew Lowerison retweeted
Excited to have this work published in collaboration with @LlanoLaboratory @BeckmanInst ! Check out our open access paper here: rdcu.be/cEQbv
Matthew Lowerison retweeted
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.2021.3…
Matthew Lowerison retweeted
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/10.1101/…
Matthew Lowerison retweeted
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.2021.31…
Matthew Lowerison retweeted
Jihun @_JihunKim 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/10.1101/…
