Spectral Bone Marrow

GE HealthCare
Spectral Bone Marrow Model Card

Spectral Bone Marrow is an automated image processing software application, utilizing deep learning technology for bone segmentation, to facilitate optimized visualization of bone marrow in spectral body and extremity CT images. Spectral Bone Marrow’s output can be used during the review of traumatic and non-traumatic bone pathologies.

Product Details
Model Identifier
Manufacturer
GE HealthCare
Product
Spectral Bone Marrow
Version
Unknown
Date Cleared
03/09/2023
FDA Submission No.
Category
MIMPS
Model Characteristics
Inclusion Criteria
CT Images
Exclusion Criteria
Unspecified
Instructions for Use
Not available
Indications for Use
Indication of Use
Spectral Bone Marrow is an automated image processing software application, utilizing deep learning technology for bone segmentation, to facilitate optimized visualization of bone marrow in spectral body and extremity CT images. Spectral Bone Marrow��s output can be used during the review of traumatic and non-traumatic bone pathologies.
Intended User
Clinicians
Age
Adult
Anatomy
Lower Extremity, Upper Extremity
Modality
CT
Output
Fused image of colored material density (MD) images (e.g water (HAP)) of the segmented bone region overlaid onto the base monochromatic spectral CT images or Virtual Unenhanced images, as secondary capture DICOM series.
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)
Interpretation by Reviewing Clinician
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)
Unknown
Slice Thickness
Unknown
Contrast Use
Unknown
MRI Field Strength
Unknown
Reconstruction Kernel Used
Unknown
Alternative Choices
Alternative Choices
Previous Version(s)
Unknown
Contact Information
Contact Information
Point of Contact Name
Unknown
Email
Unknown
Additional Details
Related Use Cases
Unknown
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