AI-Rad Companion

Podpora při rozhodování u multimodálního zobrazování

The AI-Rad Companion Organs RT automatically contours the organs at risk with the support of deep learning algorithms. It may reduce unwarranted variations with high-quality contours that approach the level of consensus-based contours.

Courtesy of Leopoldina-Krankenhaus der Stadt Schweinfurt GmbH, Schweinfurt, Germany

The AI-Rad Companion Chest CT detects and highlights lung nodules. After segmentation of the lung nodules, the volume, maximum 2D diameter, maximum 3D diameter and tumor burden are automatically calculated.

Courtesy of Klinikum Nürnberg, Nuremberg, Germany

Cinematic Rendering adds clarity to the location of a detected lung nodule. The visualization makes it easy for the referring physician to get a clear picture of the nodule location within the lung.

Courtesy of Klinikum Nürnberg, Nuremberg, Germany

The AI-Rad Companion Chest CT automatically recognizes coronary calcium, calculates its volume, and creates an enhanced clinical image including quantification of the heart volume. This additional information about a cardiac condition is valuable clinical knowledge to a routine Chest CT study.

Courtesy of Klinikum Nürnberg, Nuremberg, Germany

This 3D overview of the thoracic aorta has been automatically created by the AI-Rad Companion Chest CT. It includes the measurement of relevant diameters, based on medical guidelines and detected anatomical landmarks. This clearly shows how the AI-Rad Companion Chest CT can support the increase of accuracy of your reporting.

The AI-Rad Companion Chest CT has automatically created this measurement of the aorta based on a non-contrast enhanced CT image.

Courtesy of Klinikum Nürnberg, Nuremberg, Germany

On this image you can see how the height of the vertebrae bodies is measured and compared. The AI-Rad Companion Chest CT automatically processes these measurements and marks abnormalities with easy-to-understand color-coding. Deviations are highlighted, while bone density is reported in Hounsfield Units.

Courtesy of Klinikum Nürnberg, Nuremberg, Germany

The new functionality Pulmonary Density³ automatically identifies and quantifies hyperdense areas of the lung using non-contrast enhanced chest CT’s. The opacity score helps to assess the percentage of affected lung tissue.

Certain parts of the pulmonary density functionality¹ of AI-Rad Companion Chest CT were used in the prototype Siemens Healthineers offered to fight COVID-19, to analyze ground-glass opacities and consolidations. High opacity abnormalities were shown to correlate with lungs of COVID-19 patients.

For this sub mSv CT examination the Tin Filter technology is used.
kV: Sn130 kV, Q. ref mAs: 40 mAs, CTDIvol: 1,38 mGy DLP: 51
Eff. Dose: 0,86 mSv

Courtesy of CHR East Belgium, Verviers, Belgium

A 360° VRT overview visualizes the affected areas.

Courtesy of CHR East Belgium, Verviers, Belgium

A new software helps radiologists view, analyze, and evaluate brain images.

AI-Rad Companion performs an automatic segmentation of the different brain structures , and provides individual volumetric analysis.

Courtesy of CHUV, Lausanne, Switzerland, Case 2aaaa1366

AI-Rad Companion compares the different volumes to a normative database and automatically generates a highlighted deviation map.

Courtesy of CHUV, Lausanne, Switzerland, Case 2aaaa1366

AI-Rad Companion automatically generates a report with all volumetric analyses listed, deviations from the normative database are marked. All results can be transferred to PACS based on the configuration.

Courtesy of Centre d'imagerie diagnostique, Lausanne, Switzerland, Case 2aaaa1366

AI-Rad Companion Prostate MR for biopsy support performs an automated segmentation as well as an automated volume estimation of the prostate. When the PSA value is known, it calculates the PSA density.

Courtesy of Clinica Universidad de Navarra, Spain

The radiologist can manually mark and characterize lesions and other targets and add comments within the AI-Rad Companion Prostate MR for biopsy support. The solution can export for transfer the segmentations and targets found, as well as burnt-in contours, by a DICOM standards based radiotherapy structure set (RTSTRUCT). These images can be exported and used by the urologist to fuse with Ultrasound images as a biopsy guidance.

Courtesy of Clinica Universidad de Navarra, Spain

PA chest X-ray of a patient showing AI-Rad Companion Chest X-ray findings of two lung lesions in the left lung and the consolidation in the right lung. 

Courtesy of MVZ Prof. Dr. Uhlenbrock & Partner GmbH, Dortmund, Germany

PA chest X-ray of a patient showing an AI-Rad Companion Chest X-ray lung lesion finding in the right lung and atelectasis in the left lung

Courtesy of MVZ Prof. Dr. Uhlenbrock & Partner GmbH, Dortmund, Germany

CT scan of the pelvis with AI-Rad Companion Organs RT generated contouring of organs at risk.

Courtesy of University Hospital Erlangen, Erlangen, Germany

3D rendering of the CT image in the Treatment Planning System showing AI-Rad Companion Organs RT generated contouring of organs at risk.

Courtesy of MVZ InnMed Oberaudorf, Germany
Rendering not generated in AI-Rad Companion Organs RT.

The AI-Rad Companion Organs RT automatically contours the organs at risk with the support of deep learning algorithms. It may reduce unwarranted variations with high-quality contours that approach the level of consensus-based contours.

Courtesy of Leopoldina-Krankenhaus der Stadt Schweinfurt GmbH, Schweinfurt, Germany