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Pulmonology

Navigate within the lungs using AI

Bronchoscopy can benefit tremendously from AI. Whether in tumor classification, registration of X-ray images with pre-op CT scan, or segmentation of the lungs’ components, deep learning and computer vision can do it all. RSIP Vision’s expertise and experience can add these features to your device.

AI and Computer Vision Technologies

Our team of clinical experts and engineers have proven experience in pulmonology computer vision and can help implement state-of-the-art algorithms to improve healthcare.

Bronchoscopy Planning and Navigation

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Bronchoscopy Planning and Navigation

  • Automatic segmentation of airways
  • Plan your bronchoscopy path prior to procedure
  • Track bronchoscope during navigation for accurate biopsy location and/or ablation

Lung Nodules Segmentation

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Lung Nodules Segmentation

  • Automatic segmentation of nodules in the lungs
  • Diagnostic tool for oncologist
  • Navigation tool for biopsy procedure

Lung Lobe Segmentation

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Lung Lobe Segmentation

  • Automatic segmentation of nodules in the lungs
  • Diagnostic tool for oncologist
  • Navigation tool for biopsy procedure
Automated RECIST score

Lung Tumor Detection


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Lung Tumor Detection

  • Automatic segmentation of lung tumors from CT, MRI, or X-ray images
  • Serve as baseline for physician diagnosis
  • Navigation tool for invasive tumor treatment
Lung fissures

Lung Fissures Segmentation

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Lung Fissures Segmentation

  • Accurate segmentation of lung fissures
  • Demonstrate precise lung lobe borders
  • Prevent lung puncture during biopsy and reduce risk of pneumothorax
  • Fissure completeness analysis

Lymph Nodes Segmentation

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Lymph Nodes Segmentation

  • Automatic segmentation of lymph nodes in the lungs
  • Diagnostic tool for oncologist
  • Navigation tool for biopsy procedure

Blood Vessels Segmentation

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Blood Vessels Segmentation

  • Segmentation of blood vessels within the lungs
  • Pre-procedural planning and navigation aid
  • Fusion with airway segmentation to prevent blood vessel puncture during biopsy

Thoracic Cavity Segmentation

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Thoracic Cavity Segmentation

  • Automatic segmentation of organs within the thoracic cavity from CT or MRI
  • Demonstrate anatomical relations between different tissues
  • Visualize and detect abnormalities

Airways Segmentation

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Airways Segmentation
  • Automatic segmentation of airways
  • Bronchoscopy procedure path planning prior to the procedure
  • Narrowing detection

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
  • RSIP Vision leveraged its 3D CT auto-segmentation based on deep learning technology to deliver a customized, fast, robust, production-quality solution
The outcome
  • Core module integrated in client 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

Pulmonary embolism

Detecting Pulmonary Embolism from CT Scan

Pulmonary embolism is a very dangerous condition, which happens when a clot of blood moves from somewhere (generally the legs) to the heart and then finds its way to the lungs. As blood vessels become finer and finer, at some point the clot gets stuck there and blocks the supply of blood, with all the dire consequences resulting from that. Detecting the clot location is a challenging task, since the description of the pain by the patient is usually not enough precise to enable a clear-cut diagnosis. Often, the emergency

Read More

Lung vasculature segmentation

Lungs vasculature has a major part in blood oxygenation. The complicated branches of arteries and veins, accompanied by the intricate bronchial tree are in charge of gas exchange, where inhaled air, containing oxygen, enters the lungs and through the bronchial tree it reaches the alveoli. There, oxygen enters the thin capillaries covering the alveolar sac. In a similar manner, carbon dioxide exits the capillaries into the alveoli and exhaled. From the lung, oxygenated blood reaches the left atrium of the heart via the pulmonary veins. Then, the blood enters the

Read More
Lung tumors

Lung Tumor Segmentation

Lung cancer is the most common cancer related mortality cause among men, and second in women worldwide. Primary lung cancer is usually divided into two groups: Non-Small Cell Lung Cancer (NSCLC), and Small Cell Lung Cancer (SCLC), the former being the most common. In cases that are diagnosed late, prognosis might be grim with high mortality rates. However, early diagnosis and treatment can improve outcome. The lung is also a common site for metastatic disease. Common primary tumors which spread to the lungs, include colorectal cancer, breast cancer, renal cancer,

Read More

Lung Nodules Segmentation

Pulmonary nodules (AKA lung nodules) are small masses (up to 30mm) of tissue surrounded by pulmonary parenchyma. They are quite common finding on computerized tomography (CT) scans, and although most lung nodules are benign, some are cancerous. Some of the characteristics of the nodules may indicate high suspicion of malignancy such as large size, irregular/spiculated borders or inhomogeneous density. In that case, a tissue biopsy (percutaneous or via bronchoscopy) might be indicated. Nodules volume and borders assessment are important in cancer diagnosis and staging. CT offers very reliable imaging for

Read More
Lung fissures

Lung Fissures Segmentation

Lung fissures are double folds of visceral pleura that section the lungs to lobes. Both lungs have an oblique fissure separating the upper and lower lobes, and the right lung has a horizontal fissure separating the right middle lobe from the upper lobe. Identifying these borders is an important part of diagnosis and treatment plan for lung malignancy, of benign lung diseases. This is especially true in the context of CT-guided lung biopsy, bronchoscopy and surgical planning of lung lobectomy (or Lung Volume Reduction Surgery – LVRS). Similarly, any surgical

Read More
Visible lung cancer on CT scan of chest and abdomen

Chest CT Scan Analysis with Deep Learning

Chest radiography, with modalities such as X-Ray and CT, is now the common practice for the detection and analysis of the progression of lung tumors, tuberculosis and other pulmonary abnormalities. To date, most analysis are done by expert radiographers, who analyze resulting scans and estimate patient prognosis. However, such manual labor is prone to subjectivity and it is time consuming, which hampers large scale fast analysis. This last point poses as a bottleneck for retrospective studies on a database of chest scans aiming at finding disease characteristics. Automated Chest CT

Read More
Pulmonary embolism

Detecting Pulmonary Embolism from CT Scan

Pulmonary embolism is a very dangerous condition, which happens when a clot of blood moves from somewhere (generally the legs) to the heart and then finds its way to the lungs. As blood vessels become finer and finer, at some point the clot gets stuck there and blocks the supply of blood, with all the dire consequences resulting from that. Detecting the clot location is a challenging task, since the description of the pain by the patient is usually not enough precise to enable a clear-cut diagnosis. Often, the emergency

Read More

Lung vasculature segmentation

Lungs vasculature has a major part in blood oxygenation. The complicated branches of arteries and veins, accompanied by the intricate bronchial tree are in charge of gas exchange, where inhaled air, containing oxygen, enters the lungs and through the bronchial tree it reaches the alveoli. There, oxygen enters the thin capillaries covering the alveolar sac. In a similar manner, carbon dioxide exits the capillaries into the alveoli and exhaled. From the lung, oxygenated blood reaches the left atrium of the heart via the pulmonary veins. Then, the blood enters the

Read More
Lung tumors

Lung Tumor Segmentation

Lung cancer is the most common cancer related mortality cause among men, and second in women worldwide. Primary lung cancer is usually divided into two groups: Non-Small Cell Lung Cancer (NSCLC), and Small Cell Lung Cancer (SCLC), the former being the most common. In cases that are diagnosed late, prognosis might be grim with high mortality rates. However, early diagnosis and treatment can improve outcome. The lung is also a common site for metastatic disease. Common primary tumors which spread to the lungs, include colorectal cancer, breast cancer, renal cancer,

Read More

Lung Nodules Segmentation

Pulmonary nodules (AKA lung nodules) are small masses (up to 30mm) of tissue surrounded by pulmonary parenchyma. They are quite common finding on computerized tomography (CT) scans, and although most lung nodules are benign, some are cancerous. Some of the characteristics of the nodules may indicate high suspicion of malignancy such as large size, irregular/spiculated borders or inhomogeneous density. In that case, a tissue biopsy (percutaneous or via bronchoscopy) might be indicated. Nodules volume and borders assessment are important in cancer diagnosis and staging. CT offers very reliable imaging for

Read More
Lung fissures

Lung Fissures Segmentation

Lung fissures are double folds of visceral pleura that section the lungs to lobes. Both lungs have an oblique fissure separating the upper and lower lobes, and the right lung has a horizontal fissure separating the right middle lobe from the upper lobe. Identifying these borders is an important part of diagnosis and treatment plan for lung malignancy, of benign lung diseases. This is especially true in the context of CT-guided lung biopsy, bronchoscopy and surgical planning of lung lobectomy (or Lung Volume Reduction Surgery – LVRS). Similarly, any surgical

Read More
Visible lung cancer on CT scan of chest and abdomen

Chest CT Scan Analysis with Deep Learning

Chest radiography, with modalities such as X-Ray and CT, is now the common practice for the detection and analysis of the progression of lung tumors, tuberculosis and other pulmonary abnormalities. To date, most analysis are done by expert radiographers, who analyze resulting scans and estimate patient prognosis. However, such manual labor is prone to subjectivity and it is time consuming, which hampers large scale fast analysis. This last point poses as a bottleneck for retrospective studies on a database of chest scans aiming at finding disease characteristics. Automated Chest CT

Read More
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