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Tricuspid Valve - TTVR

    • Right heart anatomies automatically segmented

    • Tricuspid annulus tracing with high accuracy

    • Right chamber quantification and functional assessment

    • Pacemaker lead detection

    • Device specific workflows and simulations

    • Regulatory: CE marked

    • Clinical Applications: Tricuspid Regurgitation

    • Modality: CT

    • Median ICCs >0.90 demonstrating excellent agreement between user groups and AI measurements [Read Publication]

    • Segmentation dice scores between 0.88-0.96 [Full AI Performance]

Tricuspid Valve - TTVR

    • Right heart anatomies automatically segmented

    • Tricuspid annulus tracing with high accuracy

    • Right chamber quantification and functional assessment

    • Pacemaker lead detection

    • Device specific workflows and simulations

    • Regulatory: CE marked

    • Clinical Applications: Tricuspid Regurgitation

    • Modality: CT

    • Median ICCs >0.90 demonstrating excellent agreement between user groups and AI measurements [Read Publication]

    • Segmentation dice scores between 0.88-0.96 [Full AI Performance]

Latest News

Press Release: LARALAB and HDZ Bad Oeynhausen collaborate on CESAR-TR, a Multi-Center Registry for patients with Tricuspid Regurgitation.

19th March, 2025

Press Release: LARALAB GmbH partners with Columbia University for TTVR-AHI Registry.

4th March, 2025

Peer-Reviewed Publications

Investigation of chronic right heart volume overload in severe tricuspid regurgitation based on computed tomographic analyses

04 / 2025

Hülsmann, Benno et al.

Artificial Intelligence-based evaluation of cardiac computed tomography in patients with tricuspid regurgitation and pulmonary hypertension

04 / 2025

Kirchner, Johannes et al.

Automated deep learning CT analysis of
tricuspid valve and right heart morphology

11 / 2024

Mattig, Isabel et al.

Artificial intelligence-analyzed computed tomography in patients undergoing transcatheter tricuspid valve repair

09 / 2024

Kirchner, Johannes et al.

Predictors of residual tricuspid regurgitation after interventional therapy: an automated deep-learning CT analysis

08 / 2024

Mattig, Isabel et al.

Computed tomography anatomic predictors of outcomes in patients undergoing tricuspid transcatheter edge-to-edge repair

02 / 2024

Bartkowiak, Joanna et al.

Analysis of tricuspid annulus dimensions and RCA-proximity with artificial intelligence-based software for procedural planning of percutaneous tricuspid annuloplasty

01 / 2024

Kirchner, Johannes et al.

Predictive value of right ventricular geometry and function evaluated in AI-computed tomography in patients undergoing transcatheter tricuspid valve repair

11 / 2023

Gercek, Muhammed et al.

Measurement of cardiac Volumes in Patients with Tricuspid Regurgitation with CT enhanced Artificial Intelligence in Comparison with cardiac MRI

04 / 2023

Kirchner, Johannes et al.

Right Heart Morphology of Candidate Patients for Transcatheter Tricuspid Valve Interventions

12 / 2021

Khalique, Omar K et al.

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