MRiLab Presentation in the 27th ISMRM Annual Meeting
In the 27th ISMRM annual meeting, MRiLab is presented at the Open-Source Software Tools for MR Pulse Design, Simulation & Reconstruction Weekend Course. MRiLab is a rapid and versatile numerical MRI simulator. MR scientists and engineers use it to simulate MR signal formation, image data acquisition, and image reconstruction. Since its first release in 2012, MRiLab is … Continue reading "MRiLab Presentation in the 27th ISMRM Annual Meeting" ...
SANTIS: Novel Machine Learning Method Accelerates MRI
Over the past few years, machine learning has demonstrated the ability to provide improved image quality for reconstructing undersampled MRI data, providing new opportunities to improve the performance of rapid MRI further. Compared to conventional rapid imaging techniques, machine learning-based methods reformulate image reconstruction into a task of feature learning by inferencing undersampled image structures … Continue reading "SANTIS: Novel Machine Learning Method Accelerates MRI" ...
Deep Learning Empowers Lung MR Imaging for Pulmonary Function Quantification
Dr. Wei Zha, an imaging scientist in the Pulmonary and Metabolic Imaging Center led by Dr. Sean Fain at UW-Madison, has invented a deep learning approach to provide fast, reproducible, and robust quantification for pulmonary structure and function using Oxygen-enhanced (OE) MRI. This novel deep learning technology has great potential to create useful imaging biomarkers … Continue reading "Deep Learning Empowers Lung MR Imaging for Pulmonary Function Quantification" ...
Make Accurate Treatment Planning in Radiotherapy using Deep Learning
Last year, a published deepMRAC study in Radiology evaluated the feasibility of deep learning-based pseudo-CT generation in PET/MR attenuation correction, in which our AI team demonstrated the pseudo-CT generated by learning MR information could significantly improve PET reconstruction in PET/MR, leading to less than 1% uncertainty in brain FDG PET quantification. We investigated the feasibility, … Continue reading "Make Accurate Treatment Planning in Radiotherapy using Deep Learning" ...