Search Results - russell+shinohara

2 Results

Sort By:

SuBLIME: Automatic Brain Lesion Incidence and Detection Using Multimodality Longitudinal Magnetic Resonance Imaging

Subjects develop brain lesions over the natural course of a disease, Thus, there is a need to identify, estimate the size, and track the time course of new lesions as they are being formed and remain in the brain. Currently, this is done by a trained rteuroradiologist using sliceby- slice inspection, this process is very slow, can be prone to human...

Published: 3/13/2025 | Inventor(s): Elizabeth Sweeney, Colin Shea, Russell Shinohara, Arthur Goldsmith, Daniel Reich, Ciprian Crainiceanu

Keywords(s): Brain Cancer, Cancers, CNS and Neurological Disorders, Disease Indication, Image Display Software, Image Processing Software, Imaging and Sensing Systems, Imaging Modality, In Vivo Medical Imaging, Magnetic Resonance Imaging (MRI)

Category(s): Clinical and Disease Specializations, Clinical and Disease Specializations > Neurology, Technology Classifications > Computers, Electronics & Software, Technology Classifications > Medical Devices > Imaging, Technology Classifications > Medical Devices, Technology Classifications > Computers, Electronics & Software > Image Processing & Analysis, Clinical and Disease Specializations > Oncology > Brain Cancer

OASIS Automated Brain Lesion Detection Using Cross Sectional Multimodality Magnetic Resonance Imaging

C11947: Automated System for Analysis of MRI Data for Neurological AbnormalitiesNovelty: OASIS (Automated Statistical Inference for Segmentation) is a statistically principled, fast, and accurate tool for the analysis of multi-sequence MRI data that provides a segmentation identifying how much lesion load a subject has, and where in the brain these...

Published: 3/13/2025 | Inventor(s): Dzung Pham, Russell Shinohara, Arthur Goldsmith, Elizabeth Sweeney, Daniel Reich, Navid Shiee, Ciprian Crainiceanu

Keywords(s): CNS and Neurological Disorders, Disease Indication, Imaging and Sensing Systems, In Vivo Medical Imaging

Category(s): Clinical and Disease Specializations, Clinical and Disease Specializations > Neurology, Technology Classifications > Medical Devices > Imaging, Technology Classifications > Medical Devices