AI-Rad CompanionProviding multi-modality imaging decision support

AI-Rad Companion Organs RT now also supports MR-based organs-at-risk for male pelvis⁴.

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 Density 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

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 University Hospital Mannheim, Germany 

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 performs an automated segmentation of the prostate gland, marks the organ’s outer contour and conducts volume calculation of the prostate gland. When the PSA value is known, it calculates the PSA density. The segmentation results can be exported as “burnt-in” contours in a Radiotherapy Structure Sets (RTSS) format which is then used by urologists in TRUS (Transrectal Ultrasound)-guided biopsies.

Courtesy Radiomedicum, Bad Nauheim, Germany

The algorithm automatically detects, segments, quantifies and classifies suspicious prostate lesions and provides this information along with a lesion score and visualization of their localization on a pictogram.  The radiologist can manually adjust segmentations as well as the lesion, lesion score and localization and diameter of the lesion.  

Courtesy Radiomedicum, Bad Nauheim, 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

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

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

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

CT Scan of the head and neck with AI-Rad Companion Organs RT generated contours of different organs, including the lymph nodes (VA40). 

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

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

AI-Rad Companion Organs RT now also supports MR-based organs-at-risk for male pelvis⁴.

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

Dr. Karsten Ridder
Dortmund Healthcare Center Prof. Dr. Uhlenbrock and Partner,
Germany

Prof. Rozemarijn Vliegenthart
Data Science Center in Health,
Universitair Medisch Centrum Groningen, The Netherlands

Prof. Dr. Ronan Killeen
Consultant Neuroradiologist and Nuclear Medicine
Physician, National Delegate European Association of
Nuclear Medicine at Saint Vincent' s University Hospital
Dublin, Ireland

Dr. John Sheehan
Clinical Director at Blackrock Health, Ireland

Dr. Firas Mourtada
Sidney Kimmel Comprehensive Cancer Center at Jefferson,
USA

Dr. Firas Mourtada
Sidney Kimmel Comprehensive Cancer Center at Jefferson,
USA
Benefit: Accuracy

Dr. Firas Mourtada
Sidney Kimmel Comprehensive Cancer Center at Jefferson,
USA
Benefit: Consistency

Dr. Firas Mourtada
Sidney Kimmel Comprehensive Cancer Center at Jefferson,
USA
Benefit: Time Savings

Dr. Firas Mourtada
Sidney Kimmel Comprehensive Cancer Center at Jefferson,
USA
Benefit: User-Friendly

Dr. Jurgen Fuetterer
University of Twente, The Netherlands

Dr. Karsten Ridder
Dortmund Healthcare Center Prof. Dr. Uhlenbrock and Partner,
Germany