An observational study in Software Evaluation for Visualizing Anatomical Structures That Are Not Typically Identified on Clinical MR Images, sponsored by Surgical Information Sciences Inc.. Completed. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2016-09-15.
Sponsored by Surgical Information Sciences Inc. · Observational
SIS has developed a software technology, based on machine learning and image processing, designed to enhance standard clinical images for the visualization of anatomical structures.
A cohort of 30 subjects will be scanned on a clinical MRI scanner as well as on a 7 Tesla (T) scanner. Images acquired on the 7T allow to visualize anatomical structures that are not easily identified on standard clinical images.
SIS software will be used to visualize selected anatomical features on the clinical image and the results will be compared with the images of the same subject obtained from the 7T MRI.
Surgical Information Sciences Inc. is the lead sponsor of 4 studies on the registry; none are open to participants now.
Counted across the registry records on this site, refreshed daily.
A cohort of 30 adults who will be scanned on a 3T and 7T MRI to obtain anatomical images of their brain.
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A group of 30 subjects will be scanned on a 3 Tesla (T) and on a 7T MRI scanners. The images will be compared.
Validation of the accurate visualization of brain structures based on SIS algorithms
Time frame: one year
No study locations are listed for this record.
Plan to share: No
No publications or documents are linked to this record.
The record gives a start of Mar 2016, a primary completion of Sep 2016 and a completion of Sep 2016. It does not say whether these dates are actual or estimated.
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This study is completed, as verified in Sep 2016. You cannot join it, but the record below documents what was studied.
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Surgical Information Sciences Inc.