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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MRI Data Collection | A group of 34 subjects will be scanned on a 3Tesla (3T) and on a 7T MRI scanner. The images will be compared. |
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| Measure | Description | Time Frame |
|---|---|---|
| Validation of the accurate visualization of brain structure based on SIS algorithms - 1 | Difference in distance between brain structure center of mass (COM) | 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 | 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 | Through study completion, up to 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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A cohort of 34 adults who will be scanned on a 3T and 7T MRI to obtain anatomical images of their brain.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Surgical Information Sciences | Plymouth | Minnesota | 55441 | United States |
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