RADIOLOGY /// CARDIO

AI-enabled solution to analyze and quantify cardiac MR images1

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Tempus Pixel provides advanced viewing and automated reporting of cardiac MR images 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

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

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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

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AI-based Myocardial Strain

Calculates strain, strain rate, and myocardial velocity that are reliable, quantitative, visually confirmable, and that separates normal from disease myocardial tissue5

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seamless integration

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

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Our Science

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  • UPCOMING WEBINAR:

    Radiology: Cardiothoracic Imaging

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

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  • UPCOMING WEBINAR:

    JACC: Cardiovascular

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

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  • UPCOMING WEBINAR:

    BMC Medical Imaging

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

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  • UPCOMING WEBINAR:

    Radiology: Cardiothoracic Imaging

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

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  • UPCOMING WEBINAR:

    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

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  • UPCOMING WEBINAR:

    The American Journal of Cardiology

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

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  1. Tempus Pixel Cardio is FDA-cleared (K203744). Arterys Inc is the manufacturer of Tempus Pixel Cardio, excluding any third party components described in this list.
  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. T1 and T2 parametric mapping are not CE marked and are for Research Use Only in EU.

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