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Medical segmentation

Why are we the best partner for medical segmentation?

Having a robust and accurate segmentation engine is the basis for the most advanced medical applications. We have years of experience developing such solutions, in all modalities (CT, MRI, X-ray, ultrasound) and clinical fields. Our solutions are clinically proven and deployed.

AI and Computer Vision Technologies

Developing advanced segmentation solutions, we use the most powerful tools from deep learning to 3D computer vision and classic analysis algorithms. We provide accurate, quick, and robust medical solutions.

Brain hemorrhage segmentation

Brain Hemorrhage, Ventricles, and Edema

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Brain Hemorrhage, Ventricles, and Edema

  • Identification and segmentation of bleeds and edema
  • Calculating volumes of bleeds and edema
  • Tracking dynamics of bleeds

All Bones Segmentation Engine

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Bones

  • X-ray and CT segmentation
  • Planning and designing custom joint implants
  • Surgical planning, including robotic surgeries
  • 3D models from 2D X-ray images
    Metal segmentation

Liver and Liver
Tumors

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Liver and Liver Tumors

  • Tumor segmentation and delineation
  • Tumor measurements: size and density
  • Tracking changes in tumor (follow-ups)

Teeth

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Teeth

  • Segmentation and classification of individual teeth
  • Multimodality - CT, MRI and X-rays
  • Jaw and nerve tunnel segmentation
  • Surgical planning

Knee

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Knee

  • X-ray and CT segmentation
  • Planning and designing custom knee implants
  • Surgical planning, including robotic surgeries
  • 3D models from 2D X-ray images
  • Metal segmentation
  • Dynamic simulation of replacement

Lung Tumors

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Lung Tumors

  • Segmentation and delineation of tumors
  • Multimodality- X-ray and CT
  • Surgical planning
  • Tracking changes in measurements (follow-ups)

Coronary Arteries

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Coronary Arteries

  • CT fluorescein angiography segmentation
  • Virtual assessment of blood flow (Fractional flow reserve)
  • Stenosis detection and assessment
  • Planning stent design and placement

Lung Nodules

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Lung Nodules

  • Segmentation and detection of small nodules
  • Surgical planning
  • Tracking changes (follow-ups)

Hip

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Hip

  • X-ray and CT segmentation
  • Planning and designing custom hip implants
  • Surgical planning, including robotic surgeries
  • 3D models from 2D X-ray images
  • Metal segmentation
  • Dynamic simulation of replacement

Mediastinal Lymph Nodes

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Mediastinal Lymph Nodes

  • Segmentation and detection of lesions
  • Biopsy planning and preparation
  • Contrast CT

Pulmonary Blood Vessels

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Pulmonary Blood Vessels

  • Accurate segmentation from contrast CT
  • Surgical planning in combination with other segmentations
  • Avoid blood vessel perforation and other complications

Pulmonary Lobes

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Pulmonary Lobes

  • Segmentation of all lobes, and lobe segments
  • Plan surgery for lobectomy
  • Avoid complications and assist navigation

Airways

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Airways

  • Baseline for bronchoscopy navigation
  • Useful when camera is no longer available (thinning of pathway)
  • In combination with other pulmonary segmentations
Lung fissures

Pulmonary Fissures

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Pulmonary Fissures

  • Segmentation of all pulmonary fissures
  • Plan RAS or bronchoscopy
  • Avoid perforations and assist navigation

Vertebrae

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Vertebrae

  • Multimodal segmentation – CT, MRI, or X-ray
  • Surgical planning in RAS, 3D printing and implant fitting
  • Baseline for AR procedures

Great Vessels
Analysis

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Great Vessels Analysis

  • Segmentation from contrast CT
  • Detect abnormalities such as aneurysms and calcifications
  • Plan catheterizations
Kidney segmentation

Renal Artery, Vein, Calyces, Ureter, Cortex, and Medulla

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Renal Artery, Vein, Calyces, Ureter, Cortex, and Medulla

  • Requires 4-phase CT with contrast and registration
  • Detection of abnormalities and tumors
  • Plan surgical removal of kidney stones or ablations

Shoulder Planning and Navigation

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Shoulder

  • Increased segmentation accuracy for adequate surgical planning
  • 3D printing for jig and implant testing
  • Metal segmentation
Sinus segmentation

Sinuses

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Sinuses

  • Suitable for CT, MRI, or cone-beam CT
  • Plan surgical ENT procedure
  • Reduce complication when opening blockages and draining fluid

Case study

Chest CT Segmentation

The challenge
  • An industry-leading medical device company required the capability to automatically generate an accurate 3D model of complex patient-specific anatomies
  • The anatomical model was needed for planning challenging surgical navigation procedures
  • The pre-existing solution was slow and not robust, requiring extensive and time-consuming manual editing by the interventionist
Our approach
  • The RSIP Vision team leveraged its deep-learning based 3D CT auto-segmentation technology to deliver a customized, fast, robust, production quality solution

The outcome
  • Our core module has been integrated into our clients platform and is in clinical use
  • Used in 1000s of cases in hospitals worldwide
  • >99% segmentation success rate
  • 1mm-level segmentation resolution
  • 30 seconds running time on full-sized chest CT scan

Learn more

Learn more solutions and technologies from this field

Improved PCNL

Improved PCNL with Computer Vision

Larger stones in the kidney and proximal ureter need to be treated with PCNL (Percutaneous Nephrolithotomy), a minimally invasive urology procedure intended to remove them. It is today a very effective procedure, as it can be operated via a relatively small opening with a reduced time of hospitalization. There is also a version of it called mini-PCNL, a tubeless procedure with an even smaller port of entry, while maintaining a similar rate of efficacy. More surgeons would be able to perform PCNL if the access part were made simpler. That

Read More
AI-Assisted Prostate cancer diagnosis

AI-Assisted Prostate Cancer Diagnosis

Prostate cancer is the second most prevalent cancer in men, affecting about 1 in 8 men during their lifetime. Often, patients will have an MRI scan as part of regular screening. MRI images identify regions and details such as the prostate boundary, zones and tumors, which radiologists use to calculate the Prostate Imaging Reporting and Data System (PI-RADS) score. The PI-RADS score ranges from 1 to 5 (low to high probability of clinically significant cancer) and provides the basis for diagnosis and treatment. Patients with a PI-RADS score of 3

Read More
Prostate Guidance

Intra-op Prostate Guidance by RSIP Vision

Approximately one million prostate biopsies are performed each year in the United States to diagnose and monitor prostate cancer. Doctors commonly use transrectal ultrasound (TRUS) to generate real-time images of the prostate to help guide the biopsy. To mitigate the risk of missing a lesion, physicians usually carry out multiple collections from the gland. Nonetheless, there is a risk that some tumors may go undetected. Therefore, it is common practice for the patient to have a pre-op MRI scan, which generates a more detailed image of the prostate. This provides

Read More
Benign Prostatic Hyperplasia BPH

AI for Benign Prostatic Hyperplasia BPH

How can Artificial Intelligence benefit urology patients, in particular those affected by prostate BPH (Benign Prostatic Hyperplasia)? AI-based solutions for urology applications are under development and promise important breakthroughs in both operation planning and treatment. The first type of the BPH treatment is typically non-invasive and based on medications. Some patients subsequently move to intrusive solutions, These are mostly minimally invasive and mainly endoscopic. AI can provide a great contribution to the planning of the surgery: advanced AI algorithms might foresee some complications in advance and provide valuable information to

Read More
Single-port

How Can AI Assist in Single-port Robotic Surgery?

The use by the surgical community of single-port as a surgical approach is increasing in frequency. A port is the entrance gate of the tools into the patient’s body during a surgery. Currently, most laparoscopies require multiple ports for the camera and tools, whereas single-port approach utilizes one port for all the tools and the camera. The main benefits of this approach are that it offers similar results to multi-port approach while allowing for faster healing, less pain for the patient, and better cosmetic outcomes. Technically, single-port is challenging as

Read More
MRI - AI-Assisted Brain Surgery

AI-Assisted Brain Surgery

Brain surgeries are very complex: they need to be extremely accurate, since you want to spare healthy tissue; planning is very thorough, as the surgeon looks in multi-imaging modalities – for instance, where the tumor is located, what needs to be removed, and what is the best path; execution of the plan needs to be very precise, avoiding any damage to any surrounding structure, in a patient that is not always fully anesthetized. It is also a long and gruesome process, in which mistakes that sometimes happen have dire consequences.

Read More
Improved PCNL

Improved PCNL with Computer Vision

Larger stones in the kidney and proximal ureter need to be treated with PCNL (Percutaneous Nephrolithotomy), a minimally invasive urology procedure intended to remove them. It is today a very effective procedure, as it can be operated via a relatively small opening with a reduced time of hospitalization. There is also a version of it called mini-PCNL, a tubeless procedure with an even smaller port of entry, while maintaining a similar rate of efficacy. More surgeons would be able to perform PCNL if the access part were made simpler. That

Read More
AI-Assisted Prostate cancer diagnosis

AI-Assisted Prostate Cancer Diagnosis

Prostate cancer is the second most prevalent cancer in men, affecting about 1 in 8 men during their lifetime. Often, patients will have an MRI scan as part of regular screening. MRI images identify regions and details such as the prostate boundary, zones and tumors, which radiologists use to calculate the Prostate Imaging Reporting and Data System (PI-RADS) score. The PI-RADS score ranges from 1 to 5 (low to high probability of clinically significant cancer) and provides the basis for diagnosis and treatment. Patients with a PI-RADS score of 3

Read More
Prostate Guidance

Intra-op Prostate Guidance by RSIP Vision

Approximately one million prostate biopsies are performed each year in the United States to diagnose and monitor prostate cancer. Doctors commonly use transrectal ultrasound (TRUS) to generate real-time images of the prostate to help guide the biopsy. To mitigate the risk of missing a lesion, physicians usually carry out multiple collections from the gland. Nonetheless, there is a risk that some tumors may go undetected. Therefore, it is common practice for the patient to have a pre-op MRI scan, which generates a more detailed image of the prostate. This provides

Read More
Benign Prostatic Hyperplasia BPH

AI for Benign Prostatic Hyperplasia BPH

How can Artificial Intelligence benefit urology patients, in particular those affected by prostate BPH (Benign Prostatic Hyperplasia)? AI-based solutions for urology applications are under development and promise important breakthroughs in both operation planning and treatment. The first type of the BPH treatment is typically non-invasive and based on medications. Some patients subsequently move to intrusive solutions, These are mostly minimally invasive and mainly endoscopic. AI can provide a great contribution to the planning of the surgery: advanced AI algorithms might foresee some complications in advance and provide valuable information to

Read More
Single-port

How Can AI Assist in Single-port Robotic Surgery?

The use by the surgical community of single-port as a surgical approach is increasing in frequency. A port is the entrance gate of the tools into the patient’s body during a surgery. Currently, most laparoscopies require multiple ports for the camera and tools, whereas single-port approach utilizes one port for all the tools and the camera. The main benefits of this approach are that it offers similar results to multi-port approach while allowing for faster healing, less pain for the patient, and better cosmetic outcomes. Technically, single-port is challenging as

Read More
MRI - AI-Assisted Brain Surgery

AI-Assisted Brain Surgery

Brain surgeries are very complex: they need to be extremely accurate, since you want to spare healthy tissue; planning is very thorough, as the surgeon looks in multi-imaging modalities – for instance, where the tumor is located, what needs to be removed, and what is the best path; execution of the plan needs to be very precise, avoiding any damage to any surrounding structure, in a patient that is not always fully anesthetized. It is also a long and gruesome process, in which mistakes that sometimes happen have dire consequences.

Read More
Show more

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