FORMUS LABS LIMITED

info@formuslabs.com

Level 1, 70 Symonds Street, Auckland 1010, New Zealand

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Formus Labs Limited

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    ACID

    Automatic Custom Implant Design

    ACID is a cloud-based platform for patient-specific implant templating and design.
    Harness the power of population models and AI in you case planning.

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    Robust AI-powered Segmentation

    Automatically segment patient anatomy from your CT scans. Metal artefacts and deformities are handled by our deep neural-networks. Just upload and leave it to us.


    For a standalone segmentation service, please ask us about DeepSeg.

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    Intelligent Templating Engine

    Our implant-templating engine uses statistical models of real-world populations to optimize component size and placement according to anatomical and surgical constraints.

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    Talk to us about adapting the engine for your components.

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    Intuitive 3D Customization

    Our 3-D model viewer lets you fully customise designs. Move, resize, add, and remove components as you wish. The fully browser-based interface guides you through the planning process step by step without overwhelming you with controls.

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    Fully Browser-Based Platform

    No software to install, everything runs in your browser using the latest web technology. Create, view, and manage your cases from anywhere on any device.

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    Built-in collaboration features allow multiple users to view, comment, modify, and approve designs.

    Download the ACID info-pack and contact us for a demo!

    OUR TEAM

    Formus Labs harnesses the expertise and experience from the world-leading computational biomechanics lab at the Auckland Bioengineering Institute (ABI). Our team of engineers and scientists come from a diverse range of field including sports biomechanics, orthopaedics, finite-element modelling, medical image analysis, machine-learning, and 3-D web technologies.

    Ju Zhang, PhD

    Founder, Chief Architect

    Antonije Velevski, MSc

    Co-founder, Software Engineer

    Thor Besier, PhD

    Co-founder, Science Advisor

    Justin Fernandez, PhD

    Co-founder, Science Advisor

    PUBLICATIONS

    RAPID PREDICTION OF PERSONALISED MUSCLE MECHANICS: INTEGRATION WITH DIFFUSION TENSOR IMAGING

    Fernandez, J., Mithraratne, K., Alipour, M., Handsfield, G., Besier, T., & Zhang, J. (2017). Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound: International Workshops, BIVPCS 2017 and POCUS 2017, Proceedings (pp. 71–77). Cham: Springer International Publishing.

    ACCURACY OF FEMUR RECONSTRUCTION FROM SPARSE GEOMETRIC DATA USING A STATISTICAL SHAPE MODEL

    Zhang, J., & Besier, T. F. (2016). Computer Methods in Biomechanics and Biomedical Engineering, 5842(December), 1–11.

    LOWER LIMB ESTIMATION FROM SPARSE LANDMARKS USING AN ARTICULATED SHAPE MODEL

    Zhang, J., Fernandez, J., Hislop-Jambrich, J., & Besier, T. F. (2016). Journal of Biomechanics, 49(16), 3875–3881

    PREDICTIVE STATISTICAL MODELS OF BASELINE VARIATIONS IN 3-D FEMORAL CORTEX MORPHOLOGY

    Zhang, J., Hislop-Jambrich, J., & Besier, T. F. (2016). Medical Engineering & Physics, 38(5), 450–457.

    AUTOMATIC MESHING OF FEMUR CORTICAL SURFACES FROM CLINICAL CT IMAGES

    Zhang, J., Malcolm, D., Hislop-Jambrich, J., Thomas, C. D. L., & Nielsen, P. (2012). In Mesh Processing in Medical Image Analysis 2012 (pp. 40–48). Nice: Springer.

    AN ANATOMICAL REGION-BASED STATISTICAL SHAPE MODEL OF THE HUMAN FEMUR

    Zhang, J., Malcolm, D., Hislop-Jambrich, J., Thomas, C. D. L., & Nielsen, P. M. F. (2014). Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2(3), 176–185.

    CONTACT US

    Level 1, 70 Symonds Street, Auckland 1010, New Zealand

    info@formuslabs.com

    +64 22 605 3001