New Fluoroscopy System Luminos Agile from Siemens

SiemensLuminos Agile is Siemens' first under-table X-ray system with a flexible height-adjustable table. Patients with mobility issues will now find it easier to mount the table, while staff will be able to perform procedures on patients during fluoroscopy more conveniently than ever before. A dynamic flat detector allows for wider coverage of anatomical regions so that, for example, the entire abdomen can be captured in a single image. Luminos Agile supports both fluoroscopic and radiographic applications, making the system extremely versatile.

The new Luminos Agile fluoroscopy system is designed to improve patient experience and increase operating convenience for staff. Luminos Agile is an "under-table" system, where the x-ray tubes are located under the table and all the examination parameters can be set directly on the system - as opposed to over-table systems, which are mainly controlled from an operator console outside the examination room.

Luminos Agile's examination table can be lowered to 65 centimeters - hardly taller than an average chair - making it much easier for elderly patients, patients with mobility issues, and children to mount the table. It can then be raised to a maximum of 112 centimeters, a comfortable height for physicians to perform procedures on patients during fluoroscopy. No other system currently on the market offers this flexibility of table height. The table also has a 275-kilo capacity and a wide 60-centimeter opening between the table and the detector, making it easier to examine obese and immobile patients. Patients in wheelchairs can even undergo fluoroscopy exams while still seated in their wheelchairs: the table is simply tilted 90 degrees and the wheelchair can be positioned between detector and table.

Luminos Agile's 43 x 43-centimeter dynamic flat detector provides an image that is up to 116 percent larger than that of a conventional 33-cm image intensifier, enabling a wider coverage of anatomical regions. For example, physicians can examine the entire abdominal region without repositioning the patient or changing the field of view - thus reducing overall fluoroscopy time and radiation dose. In addition, Luminos Agile can implement applications from the Siemens CARE (Combined Applications to Reduce Exposure) dose reduction program, which can help staff decrease radiation exposure without compromising image quality.

Luminos Agile can be combined with the Ysio digital radiography solution to obtain a comprehensive fluoroscopy/radiography system. With the optional installation of a wireless detector, ceiling-mounted X-ray tube with interactive user interface, and Bucky wall stand, the fluoroscopy room can double as a digital radiography room.

Related news articles:

About Siemens Healthcare
The Siemens Healthcare Sector is one of the world's largest healthcare solution providers and a leading manufacturer and service provider in the fields of medical imaging, laboratory diagnostics, hospital information technology and hearing instruments. It offers solutions covering the entire supply chain under one roof - from prevention and early detection to diagnosis and on to treatment and aftercare. By optimizing clinical workflows oriented toward the most important clinical pictures, Siemens also strives to make healthcare faster, better and, at the same time, less expensive. Siemens Healthcare currently has some 48,000 employees worldwide and is present throughout the world. During fiscal 2010 (up to September 30) the Sector posted sales worth 12.4 billion euros and profits of around 750 million euros.

Most Popular Now

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...