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Optical Real-Time Anatomical Tracking- Minimally Invasive Spine Surgery

Total Cost €


EC-Contrib. €






 Optics-MISS project word cloud

Explore the words cloud of the Optics-MISS project. It provides you a very rough idea of what is the project "Optics-MISS" about.

removal    deep    once    automatically    surgery    machine    nearby    opening    invasive    unmet    keep    see    company    health    location    room    difference    safety    track    create    driving    relative    preoperative    outcome    minimally    complications    solution    good    patient    exact    registration    ct    millimeters    standard    few    surgeries    tool    cameras    image    attached    movement    vision    market    tracks    ai    anatomical    match    exactly    tracking    retractor    first    map    blood    mri    gps    miniature    clinical    muscles    mis    guided    innovative    cord    precision    safer    surgeon    patients    device    surgeons    spine    functioning    operation    surgical    incisions    damaging    3d    stage    tissues    navigate    tube    algorithms    accuracy    scans    vessels    smaller    medical    registered    correction    time    tumor    critical    causes    spinal    anatomy    uses    navigation    harm    guidance    computer    miss    tools    camera    images    cervical   

Project "Optics-MISS" data sheet

The following table provides information about the project.


Organization address
address: 16 CARMEL ST
postcode: 7630516
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Total cost 3˙540˙125 €
 EC max contribution 2˙478˙087 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-EIC-SMEInst-2018-2020-3
 Funding Scheme SME-2b
 Starting year 2020
 Duration (year-month-day) from 2020-03-01   to  2022-02-28


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DEEP HEALTH LTD IL (RECHOVOT) coordinator 2˙478˙087.00


 Project objective

The Deep Health’s Spine Navigation System uses machine vision 3D cameras and AI-based algorithms to automatically match patients’ preoperative spine CT or MRI scans to images taken in the operating room, a process called registration. Once the patient is registered, the surgeon can see the exact location of their surgical tools relative to the anatomy. Using the computer, the surgeon can see exactly where the target anatomy is, like using GPS to navigate while driving. Image-guided surgery allows surgeons to avoid damaging critical anatomy like the spinal cord and major blood vessels. Image guidance from machine vision results in safer surgery for patients. Navigation accuracy is crucial in spine surgeries, where a few millimeters can be the difference between a good outcome and major surgical complications. Current Navigation systems in the market, create the anatomical map only once at the first stage of the operation and track the movement of only the surgery tool. Deep Health solution is the first and only system which tracks the patient anatomy in real-time throughout the surgery. Real-time tracking not only ensure higher precision and better safety, but it also enables new clinical application which requires higher accuracy (e.g. cervical spine procedures), real-time anatomical correction (e.g. tumor removal). Minimally invasive spine surgery (MISS) is a type of surgery which uses smaller incisions than standard surgery. This often causes less harm to nearby muscles and other tissues. For MIS procedures Deep Health is developing miniature 3D camera attached to the retractor tube, which uses the smaller opening to keep registration functioning. Deep Health is a medical device company developing innovative surgical guidance systems and is dedicated to addressing the unmet needs of spine surgical navigation systems for surgeons and patients. Deep Health has developed the first Machine-vision Image Guided Surgery system that allows improved spine surgery.

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The information about "OPTICS-MISS" are provided by the European Opendata Portal: CORDIS opendata.

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