Peder Larson

Peder Larson

@pezlarson.bsky.social

Professor of Radiology and Biomedical Imaging at UCSF Mostly #MRI methodology research, including metabolic imaging, lung imaging and myelin imaging

122 followers82 following23 posts

Peder Larson reposted

Magnetic Resonance News
@nmr900.bsky.social

portable MRI NerdFest-2 Seminars & Hackathon 📅 20–23 Nov 2026 📍 The Chinese University of Hong Kong (Shenzhen) Indicate your interest! Registration will be open at a later date www.mrinerdfest.org #NMRchat #MRI 🧲

mrinerdfest.orgMRI-NerdFestVisions Train people to design and build MRI hardware — not just theories. Brainstorm strategies for portable MRI challenges Promote portable MRI for resource-limited and/or point-of-care settings. En...

Peder Larson reposted

Mark Lescroart
@neuromdl.bsky.social

If you like this demo, you will love the great demos by @pezlarson.bsky.social that can be found here: larsonlab.github.io/MRI-educatio... (Complete with python code to generate them!)

larsonlab.github.ioIntroduction to Principles of MRI — Principles of MRI
Matthias Nau@matthiasnau.bsky.social

Nice demo by Mark Lescroart @neuromdl.bsky.social on EPI imaging of a single #fMRI slice. Great for teaching! :) vimeo.com/143701608?fl...

vimeo.comfMRI_EPI_KspaceAcquisition_shortThis is a demonstration of how a single slice of functional magnetic resonance imaging (fMRI) data is collected. Before this makes any sense, you will need to understand…
Peder Larson
@pezlarson.bsky.social

This is a great analysis, especially I like the assessment of different variables on performance in detecting aggressive prostate cancer from MRI important for ML Researchers to see work like this where real world AUCs ~0.7, showing often fundamental challenges in biomedical problems

Radiology: Artificial Intelligence@radiology-ai.bsky.social

#ThrowbackThursday – #DeepLearning models predicted #prostate cancer aggressiveness on #MRI (Apr 2025) https://doi.org/10.1148/ryai.230555 #AI #MachineLearning #ArtificialIntelligence

Peder Larson reposted

Science X / Phys.org
@sciencex.bsky.social

Advances in 2D materials are enabling atomic-scale resolution in NMR spectroscopy, offering new possibilities for quantum sensing, computing, and communications. doi.org/g9zm6v

phys.orgMRI technology inspires quantum advancement with 2D materialsThe same technology behind MRI images of injury or disease also powers nuclear magnetic resonance (NMR) spectroscopy, which is used to analyze biological molecules for research on diseases and therapeutics.
Peder Larson
@pezlarson.bsky.social

The prostate cancer #MRI field is embracing sharing and leveraging datasets across institutions for training AI models. Preprint of this recently accepted federated learning exploration: arxiv.org/abs/2507.22790

arxiv.orgOptimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation StudyPurpose: To develop and optimize a federated learning (FL) framework across multiple clients for biparametric MRI prostate segmentation and clinically significant prostate cancer (csPCa) detection. Ma...
Radiology: Artificial Intelligence@radiology-ai.bsky.social

Federated learning framework across multiple clients for #MRI prostate cancer detection https://doi.org/10.1148/ryai.240485 @rug.nl @nkinl.bsky.social #ProstateCancer #cancer #MachineLearning

Peder Larson reposted

JAMA
@jama.com

🧵A new COPD diagnostic schema that includes chest imaging, respiratory symptoms, and spirometry identified more high-risk individuals and excluded low-risk ones. #ATS2025 ja.ma/4dp9i30

Peder Larson
@pezlarson.bsky.social

Nice to see my @ucsfimaging.bsky.social colleague highlighted! Prof. Vu has been innovating higher resolution brain #MRI and getting this technology into the hands of VA doctors

Northern California Institute for Research and Education, Inc.@ncire.org

This VA Research Week, May 13th-16th, NCIRE celebrates its contribution to 100 Years of VA Research. NCIRE is proud to support the research of Dr. An Vu at the San Francisco VA Health Care System! Learn more: www.ncire.org/about-ncire #VAResearch100

Peder Larson
@pezlarson.bsky.social

Two new papers on lung structure and ventilation #MRI with 3D UTE methods, inc patient results My impressions - UTE methods (indirect) not as good as HP Xe (direct, but requires inhaled and hyperpolarized gas) - sequences maturing, processing is critical - great potential for lung dz evaluation

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Peder Larson
@pezlarson.bsky.social

Both papers reconstruct phase-resolved lung MRI with motion-compensated low rank (MoCoLoR) reconstruction algorithm Available here: github.com/PulmonaryMRI... developed at @ucsfimaging.bsky.social Stanford Radiology and UC Berkeley EECS

github.comGitHub - PulmonaryMRI/MoCoLoR: Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI doi: 10.1002/mrm.29703Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI doi: 10.1002/mrm.29703 - PulmonaryMRI/MoCoLoR
Peder Larson
@pezlarson.bsky.social

Two new papers on lung structure and ventilation #MRI with 3D UTE methods, inc patient results My impressions - UTE methods (indirect) not as good as HP Xe (direct, but requires inhaled and hyperpolarized gas) - sequences maturing, processing is critical - great potential for lung dz evaluation

Peder Larson
@pezlarson.bsky.social

onlinelibrary.wiley.com/doi/full/10.... uses 3D FLORET trajectory, and ventilation processing from PREFUL (phase-resolved functional lung) method Compelling examples in CF, LAM, BOS, and Post-HSCT with HP Xe comparisons @cincykidsrad.bsky.social

onlinelibrary.wiley.comQuantifying spatial and dynamic lung abnormalities with 3D PREFUL FLORET UTE imaging: A feasibility studyPurpose Pulmonary MRI faces challenges due to low proton density, rapid transverse magnetization decay, and cardiac and respiratory motion. The fermat-looped orthogonally encoded trajectories (FLORE.....
Peder Larson
@pezlarson.bsky.social

👀👇 "In this risk model, the 93 million CT examinations performed in 62 million patients in 2023 were projected to result in approximately 103 000 future cancers." work from @ucsfimaging.bsky.social

storrisi.bsky.social@storrisi.bsky.social

jamanetwork.com/journals/jam...

jamanetwork.comProjected Lifetime Cancer Risks From Current Computed Tomography ImagingThis risk model projects how many future cancers in the United States could result from annual computed tomography examinations.
Peder Larson
@pezlarson.bsky.social

I think this #MRI award from @brukercorporation.bsky.social is a really nice way to recognize novel preclinical sequence work! Past winners include hot topics of ZTE/UTE, hyperpolarized, CEST, MRF, deuterium

Magnetic Resonance News@nmr900.bsky.social

RT @brukercorporation.bsky.social The finalists for this year's Bruker MRI Award have been chosen! We've narrowed it down to the top 3 finalists. It's your last chance to vote for your favorite! Cast your vote: www.bruker.com/en/landingpa... Voting will remain open until April 18 #NMRchat #MRISky 🧲

bruker.comMRI Award 2025Bruker honors researchers in the field of preclinical imaging with our MRI Award which is presented at the ISMRM Conference.
Peder Larson
@pezlarson.bsky.social

Credit to @stikov.bsky.social and MRathon for inspiration and a great experience last ISMRM. Got some of todays work pushed into github.com/LarsonLab/hy... Hopefully more to come!

github.comGitHub - LarsonLab/hyperpolarized-mri-toolbox: The goal of this toolbox is to provide open-source research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently base...The goal of this toolbox is to provide open-source research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently based on MATLAB/Octave code, and includes code f...

Peder Larson reposted

Nikola Stikov
@stikov.bsky.social

Impressive work by @mathieuboudreau.bsky.social et al.! Here is the related NeuroLibre preprint that makes replication easy preprint.neurolibre.org/10.55458/neu...

preprint.neurolibre.orgStability of qMRI metrics
🌙 Lune Bellec@lune-bellec.bsky.social

🧠📊 Just out: a deeply sample structural brain and spine dataset from the cneuromod.ca team, now published in Imaging Neuroscience! led by Mathieu Boudreau and Julien Cohen-Adad. 📰 Paper here: lnkd.in/ewXA3dED 1/🧵

Peder Larson reposted

ISMRM
@ismrm.bsky.social

You can now read blogs from the JMRI & MRM editors! These letters will give you monthly edition insights, editor's picks and more: ow.ly/p5i550V8OEj FREE access to JMRI & MRM are just one of the benefits included with your membership! RENEW YOUR MEMBERSHIP: ow.ly/xkcN50V8OEi #ISMRM #ISMRT #MRI #MR

Peder Larson reposted

ISMRM
@ismrm.bsky.social

We can't wait to see you in Hawai'i! REGISTER NOW for the 2025 ISMRM & ISMRT Annual Meeting & Exhibition: ow.ly/6xRq50UZQAy Early Registration Deadline: 10 April 2025 #FunFactFriday #ISMRM2025 #ISMRM #ISMRT #MR #MedicalImaging #MagneticResonance #MRI #MREducation #Radiology #MagneticResonance

Peder Larson reposted

Gregg Gonsalves
@gregggonsalves.bsky.social

My #Yale colleague Harlan Krumholz explains why the cuts to indirect costs are a disaster for biomedical research in the United States. Want to do something about it? I'll list those who have to hear from us below. Share, recruit friends and family to help. 1/ www.statnews.com/2025/02/08/n....

statnews.comThe NIH’s drastic cut to indirect cost rates is a critical threat to U.S. research infrastructureThe drastic reduction in indirect costs is not a path to innovation or cost savings — it’s a threat to U.S.’s position as global leader in medical research.

Peder Larson reposted

Mark Cuban
@mcuban.bsky.social

This is the most relevant article to NIH and research cuts I’ve seen. Imagine if this was today , how many people would be saying “Why are we studying Gila Monsters and their impact on diabetes ? That’s wasted money !” globalnews.ca/news/9793403...

globalnews.caHow a Canadian scientist and a venomous lizard helped pave the way for Ozempic - National | Globalnews.caIn 1984, Dr. Daniel Drucker, an endocrinologist from the University of Toronto, discovered a hormone that helped pave the way for popular diabetes drugs such as Ozempic.
Peder Larson
@pezlarson.bsky.social

I think the term AI has become so generic that is sometimes feels empty and almost meaningless! I challenge scientists and engineers to be more specific in using terms to define their algorithms and methodology!

Peder Larson
@pezlarson.bsky.social

Impressive large (>10k cases) evaluation of #prostatecancer #MRI AI prediction. “An AI system was superior to radiologists using PI-RADS (2.1) at detecting clinically significant prostate cancer and comparable to the standard of care.” pmc.ncbi.nlm.nih.gov/articles/PMC... @thelancet.bsky.social

pmc.ncbi.nlm.nih.govArtificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory studyArtificial intelligence (AI) systems can potentially aid the diagnostic pathway of prostate cancer by alleviating the increasing workload, preventing overdiagnosis, and reducing the dependence on expe...

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