Automatic contouring with Organs RT
The need for organs at risk contouring in radiation therapy
The process of contouring all organs at risk is a tedious and time consuming process. RT professionals spend a significant amount of time contouring manually on each slice of the CT dataset. Manual contouring can also lack consistency, because contours can differ from user to user.
While the task of organs at risk contouring is necessary, it’s a task that can be automated to help deliver consistency across users and patient encounters.
The predicted increase in cancer cases worldwide will lead to a growing number of patients who need to be treated with radiation therapy.
Automating these routine tasks can help free up staff to focus on more value-adding work.
AI-powered contouring support for organs at risk
Organs RT is an AI-based solution that provides radiation therapists with automatic contouring of organs at risk, which is input to their radiation therapy planning. The images acquired at the CT scanner are sent to Organs RT to be processed, and then the RT struct (DICOM) results can be pushed directly to the treatment planning system or first assessed in the Organs RT interface.
Organs RT provides organs at risk contours using deep-learning (AI) algorithms for various body regions, including head and neck, thorax, abdomen, and pelvis. It also supports the use of organ template configurations that can be aligned with institutional protocols; this may save time and improve standardization in clinical workflows.
AI behind automatic contouring of OARs
The automatic process of contouring OARs relies on a deep learning based model which consists of a two steps approach as seen in Figure 1. In the first step, the target organ region in the optimal input image is extracted using a trained Deep Reinforcement Learning network (DRL). The result is a cropped image of the target organ region. In the second step, the cropped image is used as input to create the contours. This step is based on a DI2IN. The DI2IN was trained to its optimal performance in the Siemens Healthineers AI environment. The DRL algorithm also has the ability to detect multiple target regions.
What are the key benefits?
By leveraging Artificial Intelligence (AI) to generate OAR contouring, AI-Rad Companion Organs RT, enables high quality OAR contouring to drive standardization with AI-powered algorithms. These benefits can potentially free up staff to spend more time on other tasks and help to simplify radiotherapy planning workflow.
Organs RT can be seamlessly integrated in your daily workflow using either cloud-based approach with AI-Rad Companion or on-site deployment with Syngo.via. This flexibility enables the institution to select the option that best fits to their privacy requirements and desired workflow.
Discover how AI-Rad Companion supports you as a full-time radiology expert
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
“The use of AI-Rad Companion Organs RT makes our life easier. Especially the contouring of organs in the upper abdomen, leads to a noteworthy reduction of turnaround time.”