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The P200TE is a non-contact scanning laser ophthalmoscope and optical coherence tomographer intended for in-vivo viewing and digital imaging of posterior ocular structures, including the retina, retinal nerve fiber layer and optic disc. The P200TE is a non-contact scanning laser ophthalmoscope and optical coherence tomographer. It is intended for in-vivo viewing, digital imaging, and analysis of posterior ocular structures, including the retina, retinal nerve fiber layer, ganglion cell complex (GCC) and optic disc, under mydriatic and non-mydriatic conditions. It is indicated for producing high resolution, ultra-widefield, en face reflectance images, autofluorescence images, axial cross-sectional images, three-dimensional images, retinal layer boundary analysis, optic nerve head analysis and thickness maps. The P200TE is indicated for use as a device to aid in the detection, diagnosis, documentation and management of retinal health and diseases that manifest in the retina.

CT CoPilot is intended for use in automating post-acquisition quantitative analysis of CT images of the brain for patients aged 18 or older. CT CoPilot performs automatic reformatting, labeling and quantification of segmentable structures from a set of CT images of the brain. Output of the software provides these values as numerical volumes and images which have been annotated with graphical color overlays, with each color representing a specific brain structure. When CT imaging is performed more than once on a patient, the current data is co-registered to the most recently processed prior exam of the same patient, facilitating comparison between the studies using CT CoPilot. Voxel-by-voxel subtraction maps of the pixel density change in Hounsfield Units (HU) are generated in up to 3 dimensions between the current and most recent processed prior exam of the patient.

cNeuro cPET aids physicians in the evaluation of patient pathologies via assessment and quantification of PET brain scans. The software aids in the assessment of human brain PET scans enabling automated analysis through quantification of tracer uptake and comparison with the corresponding tracer uptake in normal subjects. The resulting quantification is presented using volumes of interest and voxel-based maps of the brain. cNeuro cPET allows the user to generate information regarding relative changes in PET-FDG glucose metabolism. cNeuro cPET additionally allows the user to generate information regarding relative changes in PET brain amyloid load between a subject’s images and a normal database, which may be the result of brain neurodegeneration. PET co-registration and fusion display capabilities with MRI allow PET findings to be related to brain anatomy. cNeuro cPET aids physicians in the image interpretation of PET studies conducted on patients being evaluated for cognitive impairment, or other causes of cognitive decline.

LiverMultiScan v5 (LMSv5) is indicated for use as a magnetic resonance diagnostic device software application for non-invasive liver evaluation that enables the generation, display and review of 2D magnetic resonance medical image data and pixel maps for MR relaxation times. LMSv5 is designed to utilize DICOM 3.0 compliant magnetic resonance image datasets, acquired from compatible MR Systems, to display the internal structure of the abdomen including the liver. Other physical parameters derived from the images may also be produced. LMSv5 provides several tools, such as automated liver segmentation and region of interest (ROI) placements, to be used for the assessment of selected regions of an image. Quantitative assessment of selected regions includes the determination of triglyceride fat fraction in the liver (PDFF), T2*, LIC (Liver Iron Concentration) and iron corrected T1 (cT1) measurements. These images and the physical parameters derived from the images, when interpreted by a trained clinician, yield information that may assist in diagnosis.

LiverMultiScan v5 (LMSv5) is indicated for use as a magnetic resonance diagnostic device software application for non-invasive liver evaluation that enables the generation, display and review of 2D magnetic resonance medical image data and pixel maps for MR relaxation times. LMSv5 is designed to utilize DICOM 3.0 compliant magnetic resonance image datasets, acquired from compatible MR Systems, to display the internal structure of the abdomen including the liver. Other physical parameters derived from the images may also be produced. LMSv5 provides several tools, such as automated liver segmentation and region of interest (ROI) placements, to be used for the assessment of selected regions of an image. Quantitative assessment of selected regions includes the determination of triglyceride fat fraction in the liver (PDFF), T2*, LIC (Liver Iron Concentration) and iron corrected T1 (cT1) measurements. These images and the physical parameters derived from the images, when interpreted by a trained clinician, yield information that may assist in diagnosis.

LiverMultiScan (LMSv4) is indicated for use as a magnetic resonance diagnostic device software application for non-invasive liver evaluation that enables the generation, display and review of 2D magnetic resonance medical image data and pixel maps for MR relaxation times. LiverMultiScan (LMSv4) is designed to utilize DICOM 3.0 compliant magnetic resonance image datasets, acquired from compatible MR Systems, to display the internal structure of the abdomen including the liver. Other physical parameters derived from the images may also be produced. LiverMultiScan (LMSv4) provides a number of tools, such as automated liver segmentation and region of interest (ROI) placements, to be used for the assessment of selected regions of an image. Quantitative assessment of selected regions includes the determination of triglyceride fat fraction in the liver (PDFF), T2* and iron-corrected T1 (cT1) measurements. T2* may optionally be computed using the DIXON or LMS MOST methodologies. These images and the physical parameters derived from the images, when interpreted by a trained clinician, yield information that may assist in diagnosis.

LiverMultiScan (LMSv3) is indicated for use as a magnetic resonance diagnostic device software application for non-invasive liver evaluation that enables the generation, display and review of 2D magnetic resonance medical image data and pixel maps for MR relaxation times. LiverMultiScan (LMSv3) is designed to utilize DICOM 3.0 compliant magnetic resonance image datasets, acquired from compatible MR Systems, to display the internal structure of the abdomen including the liver. Other physical parameters derived from the images may also be produced. LiverMultiScan (LMSv3) provides a number of tools, such as automated liver segmentation and region of interest (ROI) placements, to be used for the assessment of selected regions of an image. Quantitative assessment of selected regions includes the determination of triglyceride fat fraction in the liver (PDFF), T2* and iron-corrected T1 (cT1) measurements. PDFF may optionally be computed using the LMS IDEAL or three-point Dixon methodology. These images and the physical parameters derived from the images, when interpreted by a trained clinician, yield information that may assist in diagnosis.

LiverMultiScan (LMSv3) is indicated for use as a magnetic resonance diagnostic device software application for non-invasive liver evaluation that enables the generation, display and review of 2D magnetic resonance medical image data and pixel maps for MR relaxation times. LiverMultiScan (LMSv3) is designed to utilize DICOM 3.0 compliant magnetic resonance image datasets, acquired from compatible MR Systems, to display the internal structure of the abdomen including the liver. Other physical parameters derived from the images may also be produced. LiverMultiScan (LMSv3) provides a number of tools, such as automated liver segmentation and region of interest (ROI) placements, to be used for the assessment of selected regions of an image. Quantitative assessment of selected regions includes the determination of triglyceride fat fraction in the liver (PDFF), T2* and iron-corrected T1 (cT1) measurements. PDFF may optionally be computed using the LMS IDEAL or three-point Dixon methodology. These images and the physical parameters derived from the images, when interpreted by a trained clinician, yield information that may assist in diagnosis.

LiverMultiScan (LMSv3) is indicated for use as a magnetic resonance diagnostic device software application for non-invasive liver evaluation that enables the generation, display and review of 2D magnetic resonance medical image data and pixel maps for MR relaxation times. LiverMultiScan (LMSv3) is designed to utilize DICOM 3.0 compliant magnetic resonance image datasets, acquired from compatible MR Systems, to display the internal structure of the abdomen including the liver. Other physical parameters derived from the images may also be produced. LiverMultiScan (LMSv3) provides a number of tools, such as automated liver segmentation and region of interest (ROI) placements, to be used for the assessment of selected regions of an image. Quantitative assessment of selected regions includes the determination of triglyceride fat fraction in the liver (PDFF), T2* and iron-corrected T1 (cT1) measurements. PDFF may optionally be computed using the LMS IDEAL or three-point Dixon methodology. These images and the physical parameters derived from the images, when interpreted by a trained clinician, yield information that may assist in diagnosis.

LiverMultiScan (LMSv3) is indicated for use as a magnetic resonance diagnostic device software application for non-invasive liver evaluation that enables the generation, display and review of 2D magnetic resonance medical image data and pixel maps for MR relaxation times. LiverMultiScan (LMSv3) is designed to utilize DICOM 3.0 compliant magnetic resonance image datasets, acquired from compatible MR Systems, to display the internal structure of the abdomen including the liver. Other physical parameters derived from the images may also be produced. LiverMultiScan (LMSv3) provides a number of tools, such as automated liver segmentation and region of interest (ROI) placements, to be used for the assessment of selected regions of an image. Quantitative assessment of selected regions includes the determination of triglyceride fat fraction in the liver (PDFF), T2* and iron-corrected T1 (cT1) measurements. PDFF may optionally be computed using the LMS IDEAL or three-point Dixon methodology. These images and the physical parameters derived from the images, when interpreted by a trained clinician, yield information that may assist in diagnosis.