University of Wisconsin–Madison

Author: abmcmillan

Congrats to our Undergraduate Research Scholars

This past academic year three undergraduate students participated in the undergraduate research scholars (URS) program with MIMRTL. Here are more details about their projects: Analysis of Probabilistic Classifiers for Disease Detection in Medical Imaging Camilla Appiani Project Description: The medical field is constantly growing with regards to new applications of artificial intelligence and machine learning. …

Dr. McMillan presents at the 2022 Statistics in Medical Imaging Conference

Dr. McMillan presented at the 2022 Statistics in Medical Imaging (SMI) Conference that occurred May 25-27th at Vanderbilt University Medical Center.  This meeting is the official meeting of the Statistics in Imaging Section of the American Statistical Association and focuses on statistical work in imaging sciences. Dr. McMillan gave a talk entitled “Robustness (or not) …

Congrats 2022 Graduates!

A hearty congratulations to our MIMRTL team members who graduated in May 2022!   Graduating team members include: Matthew Parker, BS, Computer Science Helena Van Hemmen, BS, Applied Mathematics, Engineering, and Physics Zeming Xie, MS, Electrical and Computer Engineering Maribel Torres-Velázquez, PhD, Biomedical Engineering

Dr. McMillan presents at the 2022 International Society for Magnetic Resonance in Medicine (ISMRM) Conference

Dr. McMillan presented at the 2022 International Society for Magnetic Resonance in Medicine (ISMRM) Conference in London, UK on May 7th, 2022. The ISMRM meeting brings together experts all across the world to present new research and provide educational opportunities for scientists and clinicians working in the magnetic resonance imaging (MRI) field. Dr. McMillan presented …

New paper published on motion robust PET brain imaging

MIMRTL members Dr. Matthew Spangler-Bickell (alum), Dr. Samuel Hurley, and Dr. Alan McMillan recently published a new paper in the Journal of Nuclear Medicine for motion-robust PET brain image reconstruction. This approach leverages a fully data-driven approach using a ultra-short PET frames (approximately 1 second long) to estimate head motion during a PET scan. This …

New Paper Published on Simultaneous Cardiac PET/MR

Dr. Alan McMillan was a co-author on a new paper published in the Journal of Clinical Medicine entitled ‘Dynamic FDG PET Imaging to Probe for Cardiac Metabolic Remodeling in Adults Born Premature’ that studies simultaneous PET and MR imaging of the heart in a population of adults born prematurely. Link: https://doi.org/10.3390/jcm10061301

New Paper Published on Simultaneous Breast PET/MR

MIMRTL team members Dr. Samuel Hurley and Dr. Alan McMillan were co-authors on a new paper in Radiology: Cancer Imaging entitled ‘Measuring Glucose Uptake in Primary Invasive Breast Cancer Using Simultaneous Time-of-Flight Breast PET/MRI: A Method Comparison Study with Prone PET/CT’ that compares quantitative PET findings in simultaneous PET/MR and prone PET/CT of the breast. …

New Paper Published on CT Synthesis from MRI using Deep Learning

MIMRTL team members Haley Massa and Dr. Alan McMillan published a new paper in Physics in Medicine and Biology entitled ‘Comparison of deep learning synthesis of synthetic CTs using clinical MRI inputs’ that studies the use different types of MRI input images to synthesize CT images. Link: https://doi.org/10.1088/1361-6560/abc5cb

New Paper Published on Lightweight MRI Coils for Improved PET Quality in Simultaneous PET/MR

MIMRTL team members Nick Mathew, Dr. Samuel Hurley, and Dr. Alan McMillan published a new paper in Radiology entitled ‘PET Image Quality Improvement for Simultaneous PET/MRI with a Lightweight MRI Surface Coil’ that demonstrates improved PET image quality utilizing lightweight AIR coils in comparison to conventional anterior array coils. Link: https://doi.org/10.1148/radiol.2020200967