Two New CT Systems Aid Dedicated RT Planning
|
By MedImaging International staff writers Posted on 27 Sep 2019 |

Image: The Somatom Go.Open Pro CT system (Photo courtesy of Siemens Healthineers).
Two new computerized tomography (CT) scanners from Siemens Healthineers (Erlangen, Germany) are designed specifically to address challenges in radiotherapy (RT) treatment planning.
The new scanners include the 64-slice Somatom go.Sim and the 128-slice Somatom go.Open Pro. Both systems feature an 85 cm bore to accommodate patient positioning accessories and increase patient comfort, and the New GO with Green mobile workflow, designed to bring ease of use to RT technicians by walking them through each step of the patient setup process. This enables the therapist to remain at the patient’s side, improving communication and comfort and reducing anxiety. Optional DirectLaser patient markers, mounted directly onto the gantry and controlled via a mobile tablet, are also available.
Additional common features include DirectOrgans software for organs at risk (OAR) contouring, which automatically addresses the dependency between image quality and the consistency of autocontouring results. DirectOrgans uses a specialized image reconstruction algorithm that optimizes the CT images for autocontouring, which can help reduce unwarranted variations with high-quality contours that approach the level of consensus-based contours.
The Somatom go.Open Pro CT system also features Direct Intelligent 4D (Direct i4D) technology, which adapts the image acquisition to a patient’s breathing in real time during the scan. Direct i4D is designed to help optimize image quality for each patient, reducing motion artifacts common to 4D image sets, and often prompt rescans. In this manner, it can help healthcare providers treat more patients with advanced techniques such as stereotactic body radiation therapy (SBRT), which require a high degree of precision to avoid damaging healthy tissue.
“Siemens Healthineers is proud to unveil the SOMATOM go.Sim and SOMATOM go.Open Pro, which are the result of an intensive co-creation process involving over 300 radiotherapy experts,” said Hanno Dotzel, vice president of surgery and oncology in the Advanced Therapies unit of Siemens Healthineers North America. “These systems will help address the challenges inherent in CT radiation therapy planning and enable precision medicine in the fight against cancer.”
The new scanners include the 64-slice Somatom go.Sim and the 128-slice Somatom go.Open Pro. Both systems feature an 85 cm bore to accommodate patient positioning accessories and increase patient comfort, and the New GO with Green mobile workflow, designed to bring ease of use to RT technicians by walking them through each step of the patient setup process. This enables the therapist to remain at the patient’s side, improving communication and comfort and reducing anxiety. Optional DirectLaser patient markers, mounted directly onto the gantry and controlled via a mobile tablet, are also available.
Additional common features include DirectOrgans software for organs at risk (OAR) contouring, which automatically addresses the dependency between image quality and the consistency of autocontouring results. DirectOrgans uses a specialized image reconstruction algorithm that optimizes the CT images for autocontouring, which can help reduce unwarranted variations with high-quality contours that approach the level of consensus-based contours.
The Somatom go.Open Pro CT system also features Direct Intelligent 4D (Direct i4D) technology, which adapts the image acquisition to a patient’s breathing in real time during the scan. Direct i4D is designed to help optimize image quality for each patient, reducing motion artifacts common to 4D image sets, and often prompt rescans. In this manner, it can help healthcare providers treat more patients with advanced techniques such as stereotactic body radiation therapy (SBRT), which require a high degree of precision to avoid damaging healthy tissue.
“Siemens Healthineers is proud to unveil the SOMATOM go.Sim and SOMATOM go.Open Pro, which are the result of an intensive co-creation process involving over 300 radiotherapy experts,” said Hanno Dotzel, vice president of surgery and oncology in the Advanced Therapies unit of Siemens Healthineers North America. “These systems will help address the challenges inherent in CT radiation therapy planning and enable precision medicine in the fight against cancer.”
Latest Nuclear Medicine News
- Radiotherapy Professionals Embrace AI as a Clinical Support Tool
- Second PSMA PET Identifies Disease in More Than Half of Negative Cases
- New PET Tracer Detects DVT and Pulmonary Embolism in One Scan
- Targeted PET Platform Guides Osteosarcoma Resection and Margin Verification
- Portable PET System Enables Real-Time Bedside Guidance for Biopsies and Ablations
- AI Model Predicts Radiation Dose Before Prostate Cancer Therapy
- Vault-Free Radiosurgery Platform Expands Access to Cranial Tumor Care
- MR-Guided Cardiac Mapping System Enables Radiation-Free Procedures
- New Imaging Tool Sheds Light on Tumor Fat Metabolism
- PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
- Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
- Cancer “Flashlight” Shows Who Can Benefit from Targeted Treatments
- PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
- Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
- New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
- PET Tracer Enables Same-Day Imaging of Triple-Negative Breast and Urothelial Cancers
Channels
Radiography
view channel
AI Tool Predicts Five-Year Breast Cancer Risk from Mammograms
Breast cancer risk assessment during routine screening is difficult because many women who develop the disease have no known genetic mutations or family history. Static risk tools provide limited discrimination... Read more
AI Mammography Tools Detect Early Breast Cancer Signs Years Before Diagnosis
Breast cancer screening aims to detect tumors before symptoms develop, but subtle mammographic changes can appear years before diagnosis and may be missed during routine reads. Delayed detection can lead... Read moreMRI
view channel
Cardiac MRI Detects Hidden Heart Dysfunction After Heart Attack
Myocardial infarction often leaves patients with persistent ventricular dysfunction that can progress without obvious signs. Detecting early decline remains difficult because standard measures may miss... Read more
AI Tool Reveals Cortical Lesions on Standard MRI in Multiple Sclerosis
Multiple sclerosis (MS) causes immune-mediated damage in the brain that leads to disability and cognitive decline. Clinicians have long recognized that lesions in the brain’s gray matter, or cortex, are... Read moreUltrasound
view channel
Simple 2D Ultrasound Tool Accurately Estimates Placental Volume
Stillbirth remains a major cause of perinatal loss, with about 21,000 cases annually in the United States. Although placental abnormalities are linked to adverse pregnancy outcomes, routine monitoring... Read more
Portable 3D Ultrasound System Enables Reproducible Breast Cancer Monitoring
Breast cancer can develop between annual mammograms, and these interval cancers account for 20% to 30% of cases and tend to be more aggressive. The challenge is pronounced in people with dense breast tissue.... Read moreGeneral/Advanced Imaging
view channel
Virtual Staining Technique Creates Histology Images from CT Data
Pulmonary hypertension, a disorder marked by pathological remodeling of the pulmonary vessels, often requires detailed histologic assessment. Yet routine pathology remains anchored in labor‑intensive,... Read more
CT-Derived Biomarker Predicts Outcomes in Gastric Cancer
Gastric cancer, also known as stomach cancer, is the fifth most common malignancy worldwide and often shows heterogeneous outcomes even within the same stage. Prognostic estimates typically rely on tumor-centric... Read more
AI Tool Enhances Response Assessment and Survival Prediction in Pleural Mesothelioma
Pleural mesothelioma, a cancer that grows as a thin, irregular layer along the lung wall, is difficult to measure on imaging. Clinicians rely on diameter-based Response Evaluation Criteria in Solid Tumors... Read moreImaging IT
view channel
Ambient AI Reporting Platform Streamlines Radiology Reporting
Radiology departments face growing imaging volumes and staffing shortages, creating reporting bottlenecks and pressure to maintain turnaround times. Conventional dictation tools document findings after... Read more
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read moreIndustry News
view channel
GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026
Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







