Tempus Pixel Cardio radiology solution

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Our solution

Tempus Pixel provides advanced viewing and automated reporting of cardiac MR images1 to help improve efficiency and accuracy in flow visualization and quantification, functional analysis, and tissue characterization.

AI-enabled 4D flow

Visualize and quantify blood flow precisely anywhere in the heart and its major vessels based on 4D flow datasets, enabling reductions in scan time of up to 30%2

Medical scan displaying human torso with colorful blood vessels in a heat-map style.Medical scan displaying human torso with colorful blood vessels in a heat-map style.

Functional analysis

Automatically quantify cardiac chambers volumetry and ventricular function data from short axis datasets, enabling a reduction in segmentation time of up to 93% per study3,4

Medical imaging interface displaying a 3D heart model with highlighted areas and cross-sectional views.Medical imaging interface displaying a 3D heart model with highlighted areas and cross-sectional views.

Tissue characterization

Automatically quantify delayed enhancement, perfusion, and parametric mapping images (T1, T2 and T2*), with graphs and 17-segment models for faster and more informed decisions5

Two colorful medical heart scans displayed on a dark interface, showing internal structures.Two colorful medical heart scans displayed on a dark interface, showing internal structures.

AI-based myocardial strain

Calculates strain, strain rate, and myocardial velocity that are reliable, quantitative, visually confirmable, and that separates normal from disease myocardial tissue6

Medical imaging software displaying multiple heart MRI scans with color overlays and data panels.Medical imaging software displaying multiple heart MRI scans with color overlays and data panels.

Seamless integration

Easily integrates AI-enabled tools with existing PACS, EHR, worklist, notification, and dictation systems to optimize radiology workflows

A medical professional in a white coat analyzes a detailed heart scan on a computer monitor.A medical professional in a white coat analyzes a detailed heart scan on a computer monitor.

Our science

Radiology: Cardiothoracic Imaging

4D Flow MRI Quantification of Congenital Shunts: Comparison to Invasive Catheterization

JACC: Cardiovascular

AI Based CMR Assessment of Biventricular Function: Clinical Significance of Intervendor Variability and Measurement Errors

BMC Medical Imaging

Quantitative evaluation of aortic valve regurgitation in 4D flow cardiac magnetic resonance: at which level should we measure?

Radiology: Cardiothoracic Imaging

Deep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRI

BMC Medical Imaging

Right and left ventricular function and flow quantification in pediatric patients with repaired tetralogy of Fallot using four-dimensional flow magnetic resonance imaging

The American Journal of Cardiology

Relation of Myocardial Perfusion Reserve and Left Ventricular Ejection Fraction in Ischemic and Nonischemic Cardiomyopathy

References

  1. Tempus Pixel Cardio is FDA-cleared (K203744). Arterys Inc is the manufacturer of Tempus Pixel Cardio.
  2. Atkins MB. Integration of 4D-Flow into routine clinical practice of congenital and non-congenital cardiac MRI-18 months experience demonstrating decreased scan times, physician monitoring, and patient breath hold times. [366897]. CMR 2018; pp. 789-790.
  3. Narang A, Miller T, Ameyaw K, et al. A machine learning algorithm for determination of left ventricle volumes and function: comparison to manual quantification. J Am Coll Cardiol. 2019;73(9):1638. https://doi.org/10.1016/S0735-1097(19)32244-2
  4. Retson T, Masutani E, Chen C, et al. Real-world clinical performance of deep learning for quantification and segmentation of biventricular cardiac size and function [4785], Proc Intl Soc Mag Reson Med. 2018;26 4785. https://cds.ismrm.org/protected/18MProceedings/PDFfiles/4785.html
  5. T2* Parametric mapping is only supported for GE and Siemens scanners.
  6. Strain is for Research Use Only in the EU and US.

This is AI-enabled precision medicine

This is the future of healthcare.