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SyMRI is a post-processing software medical device intended for use in visualization of the brain. SyMRI analyzes input data from MR imaging systems. SyMRI utilizes data from a multi-delay, multi-echo acquisition (MDME) to generate parametric maps of R1, R2 relaxation rates, and proton density (PD). SyMRI can generate multiple image contrasts from the parametric maps. SyMRI enables post-acquisition image contrast adjustment. SyMRI is indicated for head imaging.SyMRI is also intended for automatic labeling, visualization and volumetric quantification of segmentable brain tissues from a set of MR images. Brain tissue volumes are determined based on modeling of parametric maps from MDME images. When interpreted by a trained physician, SyMRI images can provide information useful in determining diagnosis. SyMRI should always be used in combination with at least one other, conventional MR acquisition (e.g. T2-FLAIR).

Tinted Glow Powder

AI Metrics is a thin client software application used with general purpose computing hardware for the display and visualization of medical image data, supporting images and anatomical datasets, such as CT and MR. AI Metrics is designed as a workflow automation application with analytical tools to help the user assess, categorize and document the extent of a disease and/or tumor response to therapy in accordance with user selected standards (e.g. RECIST 1.1) and assess changes in imaging findings over multiple time-points. AI Metrics supports the interpretation and evaluation of examinations and follow up documentation of findings within healthcare institutions, for example, in Radiology, Oncology, and other Medical Imaging environments. AI Metrics functionality provides for communication, storage, processing, rendering, and display of DICOM compliant image data derived from various sources, navigation through images, selection of regions of interest, generation of information from those regions, evaluation in accordance with user selected standards, and generation of a structured report. The user controls these functions with a system of interactive menus and semi-automated or manual workflow automation tools, including: • Manual annotation tools for users to select regions of interest (ROIs), • Semi-automatic lesion segmentation suggestions for user-selected ROIs, • Automatic measurement and display of long and short axis of segmented lesions, • Automatic tabulation and summation of measurements,• Semi-automatic lesion labelling suggestions for anatomical location (organ, body region, and laterality), • Automatic calculation of quantitative and qualitative metrics using annotation data in accordance with the selected criteria, and • Automatic generation of a structured report that includes the annotation data and calculated quantitative and qualitative metrics presented in a graph, table, key images, and structured text report.

Apuzzo Stereo Drape

Camera Head with Integrated Coupler

3M™ ESPE™ Adult Anterior Polycarbonate Replacement Crown, Upper Right Centrals, Size 11, 11

RespIn 11 Bronchial Airway Clearance System is a "Focused Pulse" High Frequency Chest Wall Oscillation (HFCWO) device that maximizes the use of modern technologies and materials to produce a more comfortable, flexible and effective therapy delivery system.

CPAP mask cushion cover made of absorbent material. Helps make using a CPAP easier and more comfortable. Decreases slippage, leaks, and noise. Feels good on the skin. Keeps the cushion clean and extends the life of the cushion. Slips on the cushion easily and is held on by thin elastic. Patented design is slim and lightweight. As the cover goes on the cushion a space for the nose, or nose and mouth, opens automatically. Washable and reusable.

SyMRI is a post-processing software medical device intended for use in visualization of the brain. SyMRI analyzes input data from MR imaging systems. SyMRI utilizes data from a multi-delay, multi-echo acquisition (MDME) to generate parametric maps of R1, R2 relaxation rates, and proton density (PD). SyMRI can generate multiple image contrasts from the parametric maps. SyMRI enables post-acquisition image contrast adjustment. SyMRI is indicated for head imaging.SyMRI is also intended for automatic labeling, visualization and volumetric quantification of segmentable brain tissues from a set of MR images. Brain tissue volumes are determined based on modeling of parametric maps from MDME images. When interpreted by a trained physician, SyMRI images can provide information useful in determining diagnosis. SyMRI should always be used in combination with at least one other, conventional MR acquisition (e.g. T2-FLAIR).

Tinted Glow Powder

AI Metrics is a thin client software application used with general purpose computing hardware for the display and visualization of medical image data, supporting images and anatomical datasets, such as CT and MR. AI Metrics is designed as a workflow automation application with analytical tools to help the user assess, categorize and document the extent of a disease and/or tumor response to therapy in accordance with user selected standards (e.g. RECIST 1.1) and assess changes in imaging findings over multiple time-points. AI Metrics supports the interpretation and evaluation of examinations and follow up documentation of findings within healthcare institutions, for example, in Radiology, Oncology, and other Medical Imaging environments. AI Metrics functionality provides for communication, storage, processing, rendering, and display of DICOM compliant image data derived from various sources, navigation through images, selection of regions of interest, generation of information from those regions, evaluation in accordance with user selected standards, and generation of a structured report. The user controls these functions with a system of interactive menus and semi-automated or manual workflow automation tools, including: • Manual annotation tools for users to select regions of interest (ROIs), • Semi-automatic lesion segmentation suggestions for user-selected ROIs, • Automatic measurement and display of long and short axis of segmented lesions, • Automatic tabulation and summation of measurements,• Semi-automatic lesion labelling suggestions for anatomical location (organ, body region, and laterality), • Automatic calculation of quantitative and qualitative metrics using annotation data in accordance with the selected criteria, and • Automatic generation of a structured report that includes the annotation data and calculated quantitative and qualitative metrics presented in a graph, table, key images, and structured text report.