Philips Launches New Intelligent CT System that Provides Spectral Information for Every Patient and Every Scan
|
By MedImaging International staff writers Posted on 21 May 2021 |

Image: Spectral CT 7500 (Photo courtesy of Royal Philips)
Royal Philips (Amsterdam, The Netherlands) has launched its newest solution for precision diagnosis with the global introduction of its spectral detector-based Spectral Computed Tomography (CT) 7500.
The latest intelligent system delivers high quality spectral images for every patient on every scan 100% of the time to help improve disease characterization, and reduce rescans and follow-ups, all at the same dose levels as conventional scans. The time-saving spectral workflow is fully integrated, enabling the technologist to get the patient on and off the table quickly – spectral chest scans and head scans take less than one second, and a full upper body spectral scan can be completed in less than two seconds – while still delivering high quality imaging that allows the physician to rapidly deliver a confident diagnosis and effective treatment plan for each patient.
The new Spectral CT 7500 was designed for first-time-right diagnosis and has demonstrated a 34% reduction in time to diagnosis, a 25% reduction in repeat scans and a 30% reduction in follow-up scans. Spectral CT has demonstrated a higher sensitivity in detecting malignant findings and has improved readings of incidental findings. With Philips spectral detector CT, photons add more value by helping salvage sub-optimal injection scans without the need to re-scan the patients, shortening the time to diagnosis.
Spectral CT 7500 expands on Philips proven spectral-detector benefits to now include additional patient populations that were not previously served. The spectral insights are available for all patients, from pediatric to bariatric, and for any clinical indication, including challenging cardiac scans with high and irregular heart rates, without compromising image quality, dose or workflow. The spectral workflow enables radiologists to optimize reading with rich spectral results and AI-based smart tools available in any reading environment with Spectral Magic Glass on PACS.
“With such great human and financial costs due to misdiagnosis, Spectral CT 7500 sets a new standard of care where image quality, dose and workflow come together to deliver valuable clinical insights. This latest intelligent system helps to bring clarity to defining moments in healthcare by delivering on certainty, simplicity and reliability in every clinical area from cardiac care, to emergency radiology, diagnostic oncology, intervention and radiation oncology,” said Kees Wesdorp, Chief Business Leader of Precision Diagnosis at Philips. “Our detector-based spectral technology ensures spectral data is always available and is seamlessly integrated into current workflows, meaning scans are fast, and clinicians are able to send patients the right treatment pathway with a more confident diagnosis.”
The latest intelligent system delivers high quality spectral images for every patient on every scan 100% of the time to help improve disease characterization, and reduce rescans and follow-ups, all at the same dose levels as conventional scans. The time-saving spectral workflow is fully integrated, enabling the technologist to get the patient on and off the table quickly – spectral chest scans and head scans take less than one second, and a full upper body spectral scan can be completed in less than two seconds – while still delivering high quality imaging that allows the physician to rapidly deliver a confident diagnosis and effective treatment plan for each patient.
The new Spectral CT 7500 was designed for first-time-right diagnosis and has demonstrated a 34% reduction in time to diagnosis, a 25% reduction in repeat scans and a 30% reduction in follow-up scans. Spectral CT has demonstrated a higher sensitivity in detecting malignant findings and has improved readings of incidental findings. With Philips spectral detector CT, photons add more value by helping salvage sub-optimal injection scans without the need to re-scan the patients, shortening the time to diagnosis.
Spectral CT 7500 expands on Philips proven spectral-detector benefits to now include additional patient populations that were not previously served. The spectral insights are available for all patients, from pediatric to bariatric, and for any clinical indication, including challenging cardiac scans with high and irregular heart rates, without compromising image quality, dose or workflow. The spectral workflow enables radiologists to optimize reading with rich spectral results and AI-based smart tools available in any reading environment with Spectral Magic Glass on PACS.
“With such great human and financial costs due to misdiagnosis, Spectral CT 7500 sets a new standard of care where image quality, dose and workflow come together to deliver valuable clinical insights. This latest intelligent system helps to bring clarity to defining moments in healthcare by delivering on certainty, simplicity and reliability in every clinical area from cardiac care, to emergency radiology, diagnostic oncology, intervention and radiation oncology,” said Kees Wesdorp, Chief Business Leader of Precision Diagnosis at Philips. “Our detector-based spectral technology ensures spectral data is always available and is seamlessly integrated into current workflows, meaning scans are fast, and clinicians are able to send patients the right treatment pathway with a more confident diagnosis.”
Latest Radiography News
- 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
- New AI Tool Helps Doctors Read Chest X‑Rays Better
- Wearable X-Ray Imaging Detecting Fabric to Provide On-The-Go Diagnostic Scanning
- AI Helps Radiologists Spot More Lesions in Mammograms
- AI Detects Fatty Liver Disease from Chest X-Rays
- AI Detects Hidden Heart Disease in Existing CT Chest Scans
- Ultra-Lightweight AI Model Runs Without GPU to Break Barriers in Lung Cancer Diagnosis
- AI Radiology Tool Identifies Life-Threatening Conditions in Milliseconds

- Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans
- AI Improves Early Detection of Interval Breast Cancers
- World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Channels
MRI
view channel
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreUltrasound
view channel
Ultrasound Probe Images Entire Organ in 4D
Disorders of blood microcirculation can have devastating effects, contributing to heart failure, kidney failure, and chronic diseases. However, existing imaging technologies cannot visualize the full network... Read more
Disposable Ultrasound Patch Performs Better Than Existing Devices
Wearable ultrasound devices are widely used in diagnostics, rehabilitation monitoring, and telemedicine, yet most existing models rely on lead-based piezoelectric ceramics that pose health and environmental risks.... Read moreNuclear Medicine
view channel
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read more
PET Tracer Enables Same-Day Imaging of Triple-Negative Breast and Urothelial Cancers
Triple-negative breast cancer (TNBC) and urothelial bladder carcinoma (UBC) are aggressive cancers often diagnosed at advanced stages, leaving limited time for effective treatment decisions.... Read more
New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read moreGeneral/Advanced Imaging
view channel
AI Tool Improves Medical Imaging Process by 90%
Accurately labeling different regions within medical scans, a process known as medical image segmentation, is critical for diagnosis, surgery planning, and research. Traditionally, this has been a manual... Read more
New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
Medical imaging technologies face ongoing challenges in capturing accurate, detailed views of internal processes, especially in conditions like cancer, where tracking disease development and treatment... Read more
AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
In pancreatic cancer, detecting whether the disease has spread to other organs is critical for determining whether surgery is appropriate. If metastasis is present, surgery is not recommended, yet current... Read moreImaging IT
view channel
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 and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read morePatient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more







