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For 15(!) years I’ve been teaching introductory #MRI to grad students, and struggled to find a textbook for a wide variety of backgrounds. I'm happy to share an online textbook I created, fully open source (including code for generating figures and plots shown): larsonlab.github.io/MRI-educatio...
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!)
On a positive note - Happy Pythagorean Triple Square Day :) #math #MATH www.npr.org/2025/09/16/n...
8mo
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9mo
larsonlab.github.io
Pythagorean Triple Square Day, as one man affectionately calls 9/16/25, is a day like no other this century.
www.npr.org
Introduction to Principles of MRI — Principles of MRI
On 9/16/25, celebrate a date of mathematical beauty
larsonlab.github.io
Introduction to Principles of MRI — Principles of MRI
Mark Lescroart
Peder Larson
Aurora Clark
Yes definitely will be some improvement! particularly for diffusion MRI the image should be better quality, and also some more precise measurements of cancerous tissue
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
Nice demo by Mark Lescroart @neuromdl.bsky.social on EPI imaging of a single #fMRI slice. Great for teaching! :) vimeo.com/143701608?fl...
9mo
I've written about my journey to this book and future thoughts here larsonlab.github.io/Teaching-Pri...
8mo
9mo
5mo
This 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…
vimeo.com
For the last 15(!) years I’ve been teaching an introductory MRI course to graduate students, and I struggled to find a textbook that was both rigorous but also accessible to students with a wide varie...
larsonlab.github.io
fMRI_EPI_KspaceAcquisition_short
Teaching MRI and Book
Dr. Peder Larson (@pezlarson.bsky.social) will host @ucsfci2.bsky.social's Segmentation Tools Seminar! 🗓 Wednesday, September 24 🕒 3:00 - 4:30 p.m. 📍Genentech Hall Auditorium or Zoom See you there!
Peder Larson
Matthias Nau
Peder Larson
Peder Larson
9mo
Students in our MSBI program don't just learn imaging principles in a lecture hall; they work with tabletop MRI units, clinical scanners & wet-lab science. We sat down with program leaders Drs. Youngho Seo & Susan Noworolskito learn more: bit.ly/4ci9tyD
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 🧲
3mo
#ThrowbackThursday – #DeepLearning models predicted #prostate cancer aggressiveness on #MRI (Apr 2025) https://doi.org/10.1148/ryai.230555 #AI #MachineLearning #ArtificialIntelligence
26d
Advances in 2D materials are enabling atomic-scale resolution in NMR spectroscopy, offering new possibilities for quantum sensing, computing, and communications. doi.org/g9zm6v
9mo
9mo
Visions 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...
MRI-NerdFest
www.mrinerdfest.org
UCSF Center for Intelligent Imaging
The 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.
phys.org
MRI technology inspires quantum advancement with 2D materials
UCSF Department of Radiology and Biomedical Imaging
Radiology: Artificial Intelligence
Magnetic Resonance News
Science X / Phys.org