CT Scanner Intelligently Adapts to Clinical Needs
|
By MedImaging International staff writers Posted on 01 Feb 2010 |
A computed tomography (CT) system is the world's first adaptive scanner, which adjusts itself intelligently and dynamically to the patient, aiding in dose protection, as well as adapting to new dimensions and space.
Recognized as one of the leading pediatric healthcare centers in the United States, St. Louis Children's Hospital (MO,USA) is further enhancing its nationally renowned pediatric care program with the installation of a Somatom Definition AS computed tomography (CT) scanner from Siemens Healthcare (Erlangen, Germany).
Although CT is a vital medical imaging tool in diagnosing illness and disease in children, there is always a concern over the amount of radiation dose a pediatric patient receives. Medical institutions, such as St. Louis Children's Hospital, strive to provide the best medical imaging exams as possible, while ensuring one of the best methods for its patients. The addition of the scanner provides the link between dose protection and imaging excellence for the Hospital's young patients.
"In light of recent studies on radiation dose and best practices for dose reduction, it is essential to employ a CT scanner that can not only ensure some dose reduction, but provide one of the fastest scan speeds, while still maintaining optimal imaging performance,” said Dr. Marilyn J. Siegel, of the division of diagnostic radiology and professor of radiology and pediatrics, St. Louis Children's Hospital. "This latest addition to our CT family allows Children's Hospital to better serve our young patients with safe, effective, quality care.”
In the July 2009 issue of the journal Radiology, a team of researchers evaluated the potential effectiveness of adaptive collimation in reducing CT radiation dose owing to z-overscanning (one of the factors responsible for radiation burden in spiral CT examinations) by using dose measurements and dose simulations. The data revealed that by using adaptive section collimation, a considerable dose reduction of up to 10% was achieved for cardiac and chest CT when measurements were performed free in air and of 7%, on average, when measurements were performed in phantoms. For scan ranges smaller than 12 cm, ionization chamber measurements and simulations indicated a dose reduction of up to 38%, according to the team's findings.
The researchers concluded that adaptive section collimation allows considerable reduction of unnecessary exposure owing to z-overscanning in spiral CT. It can be combined in synergy with other means of dose reduction, such as spectral optimization and automatic exposure control. "Siemens' unique Adaptive Dose Shield helps to address the dose issue by dynamically assisting in blocking the unnecessary dose before and after the spiral scan, ensuring that the only dose applied to the patient is dose that is clinically relevant,” said Kulin Hemani, vice president, computed tomography, Siemens Healthcare. "The desire for as little radiation exposure as possible lies at the heart of Siemens CARE philosophy, providing a wide range of dose-reduction solutions.”
CARE Dose 4D, Siemens' real-time dose modulation, assists in guaranteeing an unparalleled combination of maximum image quality at minimum dose for every patient in every spiral scan. The entire Somatom Definition AS family of scanners comes with adaptive dose shield and set of pediatric protocols to provide optimal patient care.
The scanner is able to adapt to the space constraints many facilities face today. Featuring a large bore and high-capacity patient table, the scanner requires very little floor space, with an 18-m2 footprint. This allows the scanner to fit into rooms that have traditionally been too small for high-end CT scanners.
The technology combines components in a dynamic manner, such as a large-volume coverage area with a 200-cm scan range and up to 330 msec rotation. These features allow even the most clinically challenging patients (i.e., trauma patients) to be imaged rapidly, from head to toe, with minimum difficulty.
Related Links:
Siemens Healthcare
Recognized as one of the leading pediatric healthcare centers in the United States, St. Louis Children's Hospital (MO,USA) is further enhancing its nationally renowned pediatric care program with the installation of a Somatom Definition AS computed tomography (CT) scanner from Siemens Healthcare (Erlangen, Germany).
Although CT is a vital medical imaging tool in diagnosing illness and disease in children, there is always a concern over the amount of radiation dose a pediatric patient receives. Medical institutions, such as St. Louis Children's Hospital, strive to provide the best medical imaging exams as possible, while ensuring one of the best methods for its patients. The addition of the scanner provides the link between dose protection and imaging excellence for the Hospital's young patients.
"In light of recent studies on radiation dose and best practices for dose reduction, it is essential to employ a CT scanner that can not only ensure some dose reduction, but provide one of the fastest scan speeds, while still maintaining optimal imaging performance,” said Dr. Marilyn J. Siegel, of the division of diagnostic radiology and professor of radiology and pediatrics, St. Louis Children's Hospital. "This latest addition to our CT family allows Children's Hospital to better serve our young patients with safe, effective, quality care.”
In the July 2009 issue of the journal Radiology, a team of researchers evaluated the potential effectiveness of adaptive collimation in reducing CT radiation dose owing to z-overscanning (one of the factors responsible for radiation burden in spiral CT examinations) by using dose measurements and dose simulations. The data revealed that by using adaptive section collimation, a considerable dose reduction of up to 10% was achieved for cardiac and chest CT when measurements were performed free in air and of 7%, on average, when measurements were performed in phantoms. For scan ranges smaller than 12 cm, ionization chamber measurements and simulations indicated a dose reduction of up to 38%, according to the team's findings.
The researchers concluded that adaptive section collimation allows considerable reduction of unnecessary exposure owing to z-overscanning in spiral CT. It can be combined in synergy with other means of dose reduction, such as spectral optimization and automatic exposure control. "Siemens' unique Adaptive Dose Shield helps to address the dose issue by dynamically assisting in blocking the unnecessary dose before and after the spiral scan, ensuring that the only dose applied to the patient is dose that is clinically relevant,” said Kulin Hemani, vice president, computed tomography, Siemens Healthcare. "The desire for as little radiation exposure as possible lies at the heart of Siemens CARE philosophy, providing a wide range of dose-reduction solutions.”
CARE Dose 4D, Siemens' real-time dose modulation, assists in guaranteeing an unparalleled combination of maximum image quality at minimum dose for every patient in every spiral scan. The entire Somatom Definition AS family of scanners comes with adaptive dose shield and set of pediatric protocols to provide optimal patient care.
The scanner is able to adapt to the space constraints many facilities face today. Featuring a large bore and high-capacity patient table, the scanner requires very little floor space, with an 18-m2 footprint. This allows the scanner to fit into rooms that have traditionally been too small for high-end CT scanners.
The technology combines components in a dynamic manner, such as a large-volume coverage area with a 200-cm scan range and up to 330 msec rotation. These features allow even the most clinically challenging patients (i.e., trauma patients) to be imaged rapidly, from head to toe, with minimum difficulty.
Related Links:
Siemens Healthcare
Latest Radiography News
- Rapid X-Ray Test Quantifies Pulmonary Regurgitation After Tetralogy of Fallot Repair
- AI Tool Flags Osteoporosis Risk from Routine Chest X-Rays
- Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery
- AI Detection Tool Improves Identification of Lobular Breast Cancer
- New Contrast Agent Enables Low-Dose X-Ray Joint Imaging
- AI Boosts Breast Cancer Detection and Cuts Screening Workload
- AI Tool Predicts Breast Cancer Risk Years Ahead Using Routine Mammograms
- Routine Mammograms Could Predict Future Cardiovascular Disease in Women
- AI Detects Early Signs of Aging from Chest X-Rays
- X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
- AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
- AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
- AI Hybrid Strategy Improves Mammogram Interpretation
- AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
- RSNA AI Challenge Models Can Independently Interpret Mammograms
- New Technique Combines X-Ray Imaging and Radar for Safer Cancer Diagnosis
Channels
MRI
view channel
AI Approach Could Shorten Advanced Brain MRI Scans by Up to 90%
Long acquisition times for advanced brain magnetic resonance imaging (MRI) can limit access, extend waiting lists, and disrupt clinical workflows. Reducing data requirements without sacrificing image fidelity... Read more
Cardiac MRI Measure Improves Risk Prediction in Tricuspid Regurgitation
Tricuspid regurgitation, in which blood flows back from the right ventricle into the right atrium, can lead to progressive right-sided heart failure. Clinicians need reliable ways to gauge severity and... Read moreUltrasound
view channelAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read moreNuclear Medicine
view channel
Targeted PET Platform Guides Osteosarcoma Resection and Margin Verification
Osteosarcoma, an aggressive primary bone cancer that mainly affects children and adolescents, demands wide excision to prevent local recurrence. Surgeons must achieve negative margins while preserving... Read more
Portable PET System Enables Real-Time Bedside Guidance for Biopsies and Ablations
Interventional radiology procedures typically rely on ultrasound, X-ray fluoroscopy, or computed tomography for image guidance. These modalities visualize anatomy but offer limited molecular information,... Read moreGeneral/Advanced Imaging
view channelNew SPECT/CT Method Differentiates Inflammation from Fibrosis in Interstitial Lung Disease
Interstitial lung disease (ILD) encompasses more than 200 disorders that inflame or scar the lung interstitium and can lead to progressive respiratory failure. Determining whether active inflammation is... Read more
Whole-Body PET/CT Tracks Metabolic Changes After Bariatric Surgery
Obesity surgery improves weight and comorbidity profiles, yet clinicians lack tools to monitor organ-level metabolic recovery after the procedure. A clear view of systemic changes could refine follow-up... Read moreImaging IT
view channel
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 more
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... 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







