MotionScout - Motion Artifact Correction (under development)
Motion during scan induces image quality degradation (blurred images, motion "ghost" artifacts) to a degree that may require repetition of the scan. The sensitivity to motion increases with newer imaging like functional and diffusional MRI and with higher resolution scanners. As 20-30% of all scans are affected by motion, the direct annual financial burden of motion artifacts, due to the need to repeat scans, is estimated at $1 Billion in the USA alone.
The EndoScout system has been intensively evaluated for motion tracking, aiming to eliminate the effect of motion on diagnostic imaging. Many of the diagnostic scans are adversely affected by subject motion, including scans of children, non-cooperative adults, and new modalities like functional and diffusion MRI that are sensitive even to a minimal level of motion like tremor. The sensitivity of MRI to motion requires many of the scans in small children and in non-cooperative adults to be conducted under sedation or anesthesia, which doubles and triples the cost of the diagnostic study, and involves substantial risks. Ongoing clinical studies of motion artifact elimination using the EndoScout tracking system are conducted at the Massachusetts General Hospital and at the Boston Children’s Hospital in Boston.
The following image was taken from the abstract: Retrospective correction of head motion using measurements from an electromagnetic tracker. It shows substantialy lower artifact levels in image B where retrospective motion correction was used vs image A which is the uncorrected image. Images C and D are zoomed in areas of A and B respectively. Image D shows reduced blurring and improved gray/white matter differentiation. 
Clinical applications:
MotionScout related abstracts and patents
Published papers
Head motion measurement and correction using FID navigators
Rapid measurement and correction of spatiotemporal B0 field changes using FID navigators and a multichannel reference image
Retrospective correction of head motion using measurements from an electromagnetic tracker
Motion-Robust MRI through Real-Time Motion Tracking and Retrospective Super-Resolution Volume Reconstruction
Abstract submitted to ISMRM 2020
Abstract presented at ISMRM 2019
Robust retrospective correction of 3D golden-ratio radial MRI using electromagnetic tracking
Abstracts presented at the ISMRM 23rd Annual Meeting
June 2015 (Toronto Canada)
Abstract 1: Using Brain Imaging Data to Detect and Correct Non-Rigid Sensor Motion in Prospective Motion Correction
Abstract 2: Real-Time Dynamic Prediction of Motion during Prospective Motion Correction Helps Reduce Errors Caused by Fast Motions and Delayed Motion Measurements
Patent Issued
May 19, 2015
US9037213B2
Abstracts presented at the ISMRM Motion Correction in MRI Workshop
July 2014 (Norway)
Abstract 1:Preliminary Results on Motion Correction in Pediatric MRI Using an Electromagnetic Tracker
Abstract 2:Slice-by-Slice Prospective Motion Correction in EPI Sequences
Abstract 3:A System Identification Approach to Fusing Multiple Concurrent Motion Measurements and Estimating a Dynamic Model of Head Motion for MRI Motion Correction
Abstract presented at the ISMRM 22nd Annual Meeting
May 2014 (Milan, Italy)
Slice-by-Slice Prospective Hardware Motion Correction in EPI and Simultaneous Multislice Sequences
Abstracts presented at the ISMRM 21st Annual Meeting
April 2013 (Utah, USA)
Abstract 1:Motion Robust High Resulution FLASH
Abstract 2:Motion Detection for Diffusion Weighted MRI using EPI Phase Correction Lines
MotionScout related cases of volunteer studies
ProMoCo_TFL_20190219
ProMoCo_TFL_20190625
ProMoCo_examples_20190503