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 34 subjects will be scanned on a clinical MRI scanner as well as on a 7 Tesla (7T) 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 in the same subject obtained from the 7T MRI.
Study Type
OBSERVATIONAL
Enrollment
34
Surgical Information Sciences
Plymouth, Minnesota, United States
Validation of the accurate visualization of brain structure based on SIS algorithms - 1
Difference in distance between brain structure center of mass (COM)
Time frame: Through study completion, up to 1 year
Validation of the accurate visualization of brain structure based on SIS algorithms - 2
Difference in distance between brain structure mean surface area
Time frame: Through study completion, up to 1 year
Validation of the accurate visualization of brain structure based on SIS algorithms - 3
Difference in Dice Coefficient between measured brain structures
Time frame: Through study completion, up to 1 year
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