Novel Portable Diagnostic Tool Pairs Optical and Gamma Imaging

Bigger isn't always better, especially when it comes to a new and surprisingly portable molecular imaging system that combines optical imaging at the surface level and scintigraphy, which captures the physiological function of what lies beneath, announced developers at the 2016 Annual Meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).

The scintigraphy aspect of the scanner is comprised of a gamma camera that detects tiny radioactive signals emitted from the body after injection of a radionuclide, which interacts with specific physiological functions of the body, so that nuclear medicine physicians and their colleagues can extrapolate information from the radionuclide's activity.

Optical-gamma imaging could provide a multi-dimensional look at the body by allowing physicians to see a visual representation of molecular data in the same frame as optical images of the skin, the eyes and other surface organs. Unlike most hybrid imaging systems, which typically take up a lot of real estate in healthcare facilities, this technology is small enough to be easily portable.

"This research covers the first patient results obtained with the hybrid optical-gamma camera developed in the UK at the Universities of Leicester and Nottingham," said Alan Perkins, PhD, Radiological Sciences, University of Nottingham, Nottingham, United Kingdom. "This scanner has hand-held potential and can be used in a variety of settings, including the outpatient clinic, patient bedside, operating theatre and intensive care unit."

For this clinical pilot study, researchers imaged subjects undergoing routine molecular imaging procedures such as bone scans or imaging of the thyroid, eye or lymphatic system. The investigators optimized the image resolution and acquisition time to under five minutes by adopting a 1.5 millimeter-thick scintillator, which picks up gamma rays as they are emitted from within the body, and a 1 millimeter pin-hole collimator, which acts like an aperture to narrow focus on a particular field of view.

Results of the study showed that the optical-gamma camera was highly effective for imaging lymphatic and thyroid tissue, as well as drainage from the tear ducts, or lacrimal glands. Successful absorption of the radionuclides in these targeted areas was clearly seen in tandem with optical images of surface anatomy. This imaging system is still in development and requires further investigation before being made available to wider patient populations.

Scientific Paper 531: "A novel compact hybrid optical-gamma-camera: First clinical result," A. C. Perkins, A. H. Ng, Radiological Sciences, University of Nottingham, Nottingham, United Kingdom, and Radiation Health and Safety, Ministry of Health, Putrajaya, Malaysia; P. E. Blackshaw, S. Bugby, Medical Physics and Clinical Engineering, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom; J. E. Lees, Space Research Centre, University of Leicester, Leicester, United Kingdom; M. S. Alqatani, Radiological Sciences Department, King Khalid University, Riyadh, Saudi Arabia; L. Jambi, Radiological Sciences Department, King Saud University, Riyadh, Saudi Arabia, s," SNMMI's 63rd Annual Meeting, June 11-15, 2016, San Diego, Calif.

About the Society of Nuclear Medicine and Molecular Imaging
The Society of Nuclear Medicine and Molecular Imaging (SNMMI) is an international scientific and medical organization dedicated to raising public awareness about nuclear medicine and molecular imaging, a vital element of today's medical practice that adds an additional dimension to diagnosis, changing the way common and devastating diseases are understood and treated and helping provide patients with the best health care possible.

SNMMI's more than 17,000 members set the standard for molecular imaging and nuclear medicine practice by creating guidelines, sharing information through journals and meetings and leading advocacy on key issues that affect molecular imaging and therapy research and practice.

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...