Contact

ENT

Improving ENT healthcare through imaging

Treating head and neck disorders and diseases requires not only advanced imaging techniques, but also innovative and accurate analysis using AI and deep learning tools. RSIP Vision has proven expertise and experience in ENT, including overcoming registration challenges, CT and MRI image fusion, catheter navigation during procedures, and more.

AI and Computer Vision Technologies

Our multidisciplinary team utilizes computer vision and AI algorithms to create fast and efficient segmentation, registration and classification modules for your medical device! 

Multimodal Image Registration

+
Multimodal Image Registration

  • Fully-automated image fusion  of CT and MRI
  • Solving orientation, resolution, FOV and dimensionality
  • Classical and deep learning image processing techniques

Segmentation and landmarks in ENT

+
Catheter Navigation
  • Maxillary sinus segmentation in CT and MRI
  • Automatic landmark detection for ENT surgery

Catheter Navigation

+
Segmentation and landmarks in ENT
  • Image-guided endoscopic trans nasal surgeries
  • CT, MRI and catheter tracking
  • Navigating intricate passageways
  • Balloon, ablation, stents, etc.
Larynx

Larynx Segmentation

+
Larynx Segmentation
  • Accurate segmentation using Deep Learning from CT or MRI
  • Detect pathologies and plan surgical procedures
  • Save time and money for Laryngeal cancer care 
Inner ear segmentation

Ear Segmentation

+
Ear Segmentation
  • Accurate 3D segmentation of all delicate parts of the ear from CT or MRI
  • Allows planning for a cochlear implant or tumor removal
  • Avoid damage to subtle structures such as nerves and blood vessels

R&D Services

Application and device specific solutions. Research and IP creation

Click here

General Case Study

Endoscopic Video Analysis

The challenge
  • An innovative start-up initiative in the endoscopy space wanted to quickly prove out a range of AI benefits for video analysis application
Our approach
  • The RSIP Vision R&D team in close collaboration with in-house and client medical experts, developed a multi-functional proof of concept
  • We quickly and efficiently built key capabilities including pathology detection, image segmentation, motion estimation, and image quality
  • During the development process, RSIP Vision discovered novel AI use cases with strong additional business potential, enhancing our client’s value proposition
The outcome
  • Our support of this client led to a successful transaction with a large industry-leading corporation
  • We developed and delivered novel core technologies, providing a strong basis for full solution development
  • At this time, production and solution development is underway in continued partnership with RSIP Vision

Learn more

Learn more solutions and technologies from this field

Inner ear segmentation

Middle and Inner Ear Segmentation with Deep Learning

Ear pathologies are common in all age groups, and are one of the leading causes for visiting a doctor. In most cases, proper diagnosis can be achieved via clinical examination. However, in recurrent or complicated cases imaging of the ear is indicated and can help with treatment choice.   The human ear is in charge of two separate functions – hearing and maintaining balance. Its complex structure includes the outer ear which collects sound waves, middle ear which conducts the sound to the inner ear, that is located within the

Read More
Larynx

Larynx Segmentation with Deep Learning

The larynx, also known as the voice box, is a triangular structure in charge of important functions including breathing, voice production and supplying protection to the trachea from aspirations. It consists mostly of cartilages- epiglottic, thyroid, cricoid, arytenoid, corniculate and cuneiform. The cartilages are connected by muscles and connective tissue. The epiglottis that protects the trachea is located at the larynx inlet. Due to its extraordinary importance, pathologies of the larynx such as laryngeal cancer require thorough care. Treatment options include excision surgery, radiation, chemotherapy or even total laryngectomy. Computed

Read More
Sinus segmentation

Sinus Segmentation with Deep Learning

The paranasal sinuses are air-filled spaces surrounding the nasal cavity. The sinuses include the maxillary, frontal, ethmoidal and sphenoidal sinuses. Due to being air filled, the sinuses make the skull lighter and help with filtration of inhaled air. Sinusitis is the inflammation of the lining mucous membrane of the sinus cavities, which can be caused by infection (viruses, bacteria or fungi) or allergy. The condition is very common, affecting one in 7-8 people in the United States and other Western countries. Symptoms include nasal mucopurulent discharge, nasal congestion, facial pain and reduction or loss

Read More
Inner ear segmentation

Middle and Inner Ear Segmentation with Deep Learning

Ear pathologies are common in all age groups, and are one of the leading causes for visiting a doctor. In most cases, proper diagnosis can be achieved via clinical examination. However, in recurrent or complicated cases imaging of the ear is indicated and can help with treatment choice.   The human ear is in charge of two separate functions – hearing and maintaining balance. Its complex structure includes the outer ear which collects sound waves, middle ear which conducts the sound to the inner ear, that is located within the

Read More
Larynx

Larynx Segmentation with Deep Learning

The larynx, also known as the voice box, is a triangular structure in charge of important functions including breathing, voice production and supplying protection to the trachea from aspirations. It consists mostly of cartilages- epiglottic, thyroid, cricoid, arytenoid, corniculate and cuneiform. The cartilages are connected by muscles and connective tissue. The epiglottis that protects the trachea is located at the larynx inlet. Due to its extraordinary importance, pathologies of the larynx such as laryngeal cancer require thorough care. Treatment options include excision surgery, radiation, chemotherapy or even total laryngectomy. Computed

Read More
Sinus segmentation

Sinus Segmentation with Deep Learning

The paranasal sinuses are air-filled spaces surrounding the nasal cavity. The sinuses include the maxillary, frontal, ethmoidal and sphenoidal sinuses. Due to being air filled, the sinuses make the skull lighter and help with filtration of inhaled air. Sinusitis is the inflammation of the lining mucous membrane of the sinus cavities, which can be caused by infection (viruses, bacteria or fungi) or allergy. The condition is very common, affecting one in 7-8 people in the United States and other Western countries. Symptoms include nasal mucopurulent discharge, nasal congestion, facial pain and reduction or loss

Read More
Show more

Get in touch

Please fill the following form and our experts will be happy to reply to you soon

Recent News
All news
Upcoming Events
Stay informed for our next events
Subscribe to Our Magazines

Subscribe now and receive the Computer Vision News Magazine every month to your mailbox

 
Subscribe for free
Follow us
Linkedin Twitter Facebook Youtube

contact@rsipvision.com

Terms of Use

Privacy Policy

© All rights reserved to RSIP Vision 2021

Created by Shmulik

R&D Services

How we work

Planning
    • Free consultations for concept development
    • Work plan creation & literature review
Data
    • Data acquisition assistance thru our medical partners
    • Support custom datasets

Execution

    • Multidisciplinary team – PM, R&D, medical, & annotation
    • Weekly client meetings
    • Full transparency at all stages

Deliverables

    • Software, source code, technology transfer, integration support & new IP
    • Solution is yours to keep, no per-use royalties