Viz CTP
Viz. ai, inc.
Product Details
Model Identifier
Manufacturer
Viz. ai, inc.
Product
Viz CTP
Version
Unknown
Date Cleared
04/20/2018
FDA Submission No.
Category
MIMPS
Model Characteristics
Inclusion Criteria
CT perfusion scans of brain
Exclusion Criteria
Unknown
Instructions for Use
Not available
Indications for Use
Indication of Use
Viz CTP is an image processing software package to be used by trained professionals, including but not limited to physicians and medical technicians. The software runs on a standard 'off-the-shelf' computer or a virtual platform, such as VMware, and can be used to perform image processing, analysis, and communication of computed tomography (CT) perfusion scans of the brain. Data and images are acquired through DICOM-compliant imaging devices. Viz CTP provides both analysis and communication capabilities for dynamic imaging datasets that are acquired with CT Perfusion imaging protocols. Analysis includes calculation of parameters related to tissue flow (perfusion) and tissue blood volume. Results of image processing which include CT perfusion parameter maps generated from a raw CTP scan are exported in the standard DICOM format and may be viewed on existing radiological imaging viewers.
Intended User
Radiologist
Age
Unknown
Anatomy
Head
Modality
CT
Output
Viz CTP image analysis includes calculation of the following perfusion related parameters: � Cerebral Blood Flow (CBF) � Cerebral Blood Volume (CBV) � Mean Transit Time (MTT) � Residue function time-to-peak (TMax) � Arterial Input Function (AIF)
Details on Training Data Sets
Details on Training Data Sets
No. of Cases
Unknown
Age Range (Years)
Unknown
Sex (%)
- Female: Unknown
- Male: Unknown
- Unknown: Unknown
Output
Unknown
Race (%)
- White: Unknown
- Black or African American: Unknown
- American Indian or Alaska Native: Unknown
- Asian: Unknown
- Native Hawaiian or Other Pacific Islander: Unknown
- Unknown: Unknown
Ethnicity (%)
- Hispanic or Latino: Unknown
- Not Hispanic or Latino: Unknown
- Unknown: Unknown
Geographic Region (%)
- USA: Unknown
- International: Unknown
- Unknown: Unknown
Scanner Manufacturer(s)
Unknown
Scanner Model(s)
Unknown
Model Performance
Study Type
Performance Testing Type
Stand-Alone Performance
Standalone Model Performance
Reference Standard (Ground Truth)
Other
No. of Cases
Unknown
Age Range (Years)
Unknown
Sex (%)
- Female: Unknown
- Male: Unknown
- Unknown: Unknown
Race (%)
- White: Unknown
- Black or African American: Unknown
- American Indian or Alaska Native: Unknown
- Asian: Unknown
- Native Hawaiian or Other Pacific Islander: Unknown
- Unknown: Unknown
Ethnicity (%)
- Hispanic or Latino: Unknown
- Not Hispanic or Latino: Unknown
- Unknown: Unknown
Geographic Region (%)
- USA: Unknown
- International: Unknown
- Unknown: Unknown
Output
Unknown
Scanner Manufacturer(s)
Unknown
Scanner Model(s)
Unknown
No. of Sites
Unknown
Model Accuracy
Unknown
Model Sensitivity
Not provided
Model Specificity
Not provided
Reader Study Performance
No. of Readers
N/A
No. of Cases
N/A
No. of Sites
N/A
Output
N/A
Age Range (Years)
N/A
Sex (%)
- Female: N/A
- Male: N/A
- Unknown: N/A
Race (%)
- White: N/A
- Black or African American: N/A
- American Indian or Alaska Native: N/A
- Asian: N/A
- Native Hawaiian or Other Pacific Islander: N/A
- Unknown: N/A
Ethnicity (%)
- Hispanic or Latino: N/A
- Not Hispanic or Latino: N/A
- Unknown: N/A
Geographic Region (%)
- USA: N/A
- International: N/A
- Unknown: N/A
Scanner Manufacturer(s)
N/A
Scanner Model(s)
N/A
Model Accuracy
N/A
Model Sensitivity
N/A
Model Specificity
N/A
Model Limitations, Warnings, & Precautions
Model Limitations, Warnings, & Precautions
Supported Scanner Manufacturer(s)
All
Slice Thickness
Unknown
Contrast Use
Unknown
MRI Field Strength
Unknown
Reconstruction Kernel Used
Unknown
Alternative Choices
Alternative Choices
Previous Version(s)
Unknown
Predicate Device(s)
Contact Information
Contact Information
Point of Contact Name
Unknown
Email
Unknown
Additional Details
Related Use Cases
Unknown