Dr. Hall has been funded by FPWR to use cutting-edge brain imaging (called fNIRS) in a study of skin picking in people with PWS. The fNIRS technology measures brain activity during skin picking to understand what drives this behavior. https://hubs.la/Q02DW_B60
Foundation For Prader-Willi Research’s Post
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Skin picking in PWS may be due to altered perception of internal body cues. Dr. Hall will use fNIRS brain imaging to measure brain activity before, during, and after skin picking in PWS to better understand what drives skin picking. https://hubs.la/Q02SyFPn0
Using Functional Near-Infrared Spectroscopy to Identify Biomarkers of Skin Picking Behavior in PWS
fpwr.org
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Did you know that MRI machines sequentially samples responses of body tissue to a range of radio frequencies. This is why MRI is so slow -- brain scans can take upto an hour. Our new #ICML paper shows that RL can make scanning ~12x faster by selecting the RF to scan. The algorithm is called ASMR. It first learns a CNN-based classifier to predict pathologies from sparsely-sampled MR images. Then we can simply run PPO to select the next best frequency sample for the MR machine to select. The reward is performance of the classifier. On 6 out of 8 pathology classification tasks spanning the Knee, Brain, and Prostate MR scans, ASMR reaches within 2% of the performance of a fully sampled classifier while using only 8% of the full frequency space (aka k-space). We still have ways to go before ASMR can be incorporated in commercial MR machines - from scaling to multi-coil MR data and better using volumetric data. So we have open-sourced our code and RL setup for the community. Code: https://lnkd.in/eMMwRCHq Paper: https://lnkd.in/eYsDysDb This work was led by Chen-Yu (Robin) Yen (who is also on the job market!) w\ Raghav Singhal, Umang Sharma, Rajesh Ranganath and Sumit Chopra.
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Good point! However, there's always a need because most MRI Quality Assurance protocols include at least a limited investigation of the geometric accuracy.
Did you know that MRI machines sequentially samples responses of body tissue to a range of radio frequencies. This is why MRI is so slow -- brain scans can take upto an hour. Our new #ICML paper shows that RL can make scanning ~12x faster by selecting the RF to scan. The algorithm is called ASMR. It first learns a CNN-based classifier to predict pathologies from sparsely-sampled MR images. Then we can simply run PPO to select the next best frequency sample for the MR machine to select. The reward is performance of the classifier. On 6 out of 8 pathology classification tasks spanning the Knee, Brain, and Prostate MR scans, ASMR reaches within 2% of the performance of a fully sampled classifier while using only 8% of the full frequency space (aka k-space). We still have ways to go before ASMR can be incorporated in commercial MR machines - from scaling to multi-coil MR data and better using volumetric data. So we have open-sourced our code and RL setup for the community. Code: https://lnkd.in/eMMwRCHq Paper: https://lnkd.in/eYsDysDb This work was led by Chen-Yu (Robin) Yen (who is also on the job market!) w\ Raghav Singhal, Umang Sharma, Rajesh Ranganath and Sumit Chopra.
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High-frequency optical coherence tomography (OCT) for endovascular management of cerebral aneurysms. OCT imaging is not just for eyes. https://smpl.is/92sat
Just a moment...
onlinelibrary.wiley.com
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Excited to share that our article, "The Role of Humerus Cortical Thickness in Predicting Osteoporosis in MR Imaging," has been published online! This study, conducted in collaboration with my esteemed colleague Sanem BULUT, explores the significance of humeral cortical thickness as a predictive factor for osteoporosis using MR imaging techniques. You can take a look at the article here:
The role of humerus cortical thickness in predicting osteoporosis in MR imaging - Sevde Nur Emir, Safiye Sanem Dereli Bulut, 2024
journals.sagepub.com
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Did you know, Shin Imaging Centers are one of the few imaging centers in California offering the most sophisticated brain imaging techniques for Traumatic Brain Injury (TBI) detection?🤕 Introducing Diffusion Tensor Imaging (DTI)🧠 ㅤ 🔬 How does DTI detect TBI? - DTI measures the motion of water in the brain tissue, estimating the damage sustained by nerve fibers - Trauma can cause asymmetry in the 3D Tractography and quantitative FA values on DTI images, indicating Axonal Injury ㅤ If you or someone you know has suffered from a TBI, consider Shin Imaging Center!👩⚕️ ㅤ Please visit our website for more information www.shinimaging2.com . - Leader in 3T MRI - 1st Installation on the West Coast - World-Class Technology - Served 200,000+ Patients since 2003 #DTI #TBI #DiffusionTensorImaging #TramauticBrainInjury #MRI #HighFieldMRI #OpenMRI #ShinImagingCenter #LA #Fullerton #BuenaPark #MedicalImaging #Choose3TImaging
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https://lnkd.in/drmdGmkA BACKGROUND AND PURPOSE: Phase imaging helps determine a lesion’s susceptibility. However, various inhomogenous phase patterns could be observed in the serial phase images of a lesion and render image interpretation challenging. We evaluated the diagnostic accuracy of differentiating cerebral microbleeds and calcifications from phase patterns in axial locations.
Black Dipole or White Dipole: Using Susceptibility Phase Imaging to Differentiate Cerebral Microbleeds from Intracranial Calcifications
ajnr.org
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Dealing with post-concussion syndrome? Discover how MRI technology is pivotal in diagnosis and recovery in our latest blog post! From identifying brain changes to guiding treatment, find out how University Medical Imaging is advancing care for those impacted by concussions. #MRI #BrainHealth #PostConcussionSyndrome https://lnkd.in/gTs5bSQt #umimri #imaging #sacramentoimaging #yourimagemeanseverythingtous #universitymedicalimaging
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Engineering Excellence Case #16: Explore the Story of the Transformation and Achievement of how FIVE developed a desktop application that navigates surgeons while inserting implants into the patient’s brain. MRI images of the patient's head are processed by the software, which also uses ML&AI algorithms to build a path for the implant and show it on the screen on top of the MRI image. Click on the link to discover the full story 👇 https://lnkd.in/etDztfp9 #engineeringexcellence #healthcare #casestudy #fivesysdev #fivesystemsdevelopment #fivesystemsdevelopment
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fivesysdev.com
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🔍 Just wrapped up an enlightening MRI examination of the abdomen today, focusing on detecting and characterizing adrenal tumors. 📸 🧠 As an MRI technologist, navigating through various sequences of MRI never ceases to fascinate me. Today's scan provided valuable insights into the presence and nature of adrenal tumors. 🩺 💡 Utilizing different sequences, and the appropriate slice thickness, offers unique perspectives, contributing to a comprehensive evaluation of these tumors and aiding in treatment planning. 🔄 🔬Accurate imaging is essential in distinguishing between benign and malignant lesions, guiding clinicians in making informed decisions for further evaluation and treatment planning. 📊 🌟Grateful for the advancements in MRI technology, enabling us to contribute to the diagnosis and care of patients with conditions like adrenal tumors. Excited to continue utilizing our expertise to make a difference in patient outcomes. 💪 #MRI #AbdominalImaging #MRItechnologist #AdrenalTumeur #MedicalImaging
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