New Technique Enables Increasingly Accurate PET Scan

A novel technique which reduces image degradation caused by respiratory motion during a PET scan was developed in a recent study at the University of Eastern Finland. PET scanning is routinely used to detect cancer and heart conditions. The new technique presented in the PhD thesis of Tuomas Koivumäki, MSc (Tech.), is based on bioimpedance measurement and it allows for image reconstruction at a specific phase of the patient's breathing pattern. This, in turn, makes it possible to reduce image degradation caused by motion.

In the future, the newly developed technique will enable increasingly accurate image acquisition especially during PET scans performed to detect cancers of the chest and upper abdomen, and inflammatory diseases of the heart. PET scanning, or positron emission tomography, is a modern nuclear medicine imaging method, which allows for the detection of cancer and heart conditions.

Thanks to enhanced image quality, PET images provide new and increasingly accurate data, potentially improving diagnosis reliability and treatment response monitoring. High-quality image data makes the treatment more efficient both medically and financially.

The study found that when synchronising images on the basis of bioimpedance, it was possible to discern smaller details. Motion compensation also significantly influenced the parameters measured from the images. Bioimpedance measurement offers a straightforward technique for acquiring the data needed for motion compensation. Furthermore, the technique can be easily integrated into electrocardiogram (ECG) measurement, which is widely used to monitor heart function during the scan.

Bioimpedance helps assess the patient's breathing
In techniques based on bioimpedance measurement, a very weak electrical current is passed through the patient's chest, and changes in the resulting voltage are measured. The voltage has been observed to change according to the patient's breathing and cardiac function. Earlier, bioimpedance measurements have been used to assess for example body composition, fluid accumulations in lungs, and indicators of cardiac function.

The study focused on the feasibility of bioimpedance-based measurement techniques for respiratory and cardiac motion compensation in PET imaging. The study first used computational models and test subjects to determine an optimised bioimpedance measurement configuration for simultaneous measurement of respiratory and cardiac gating signals. The second phase of the study focused on analysing whether bioimpedance techniques can be used to reduce respiration-related degradation of PET images.

Motion degrades PET scan image quality
PET scanning is used for cancer staging and evaluating treatment response, as well as for studying myocardial blood flow and inflammatory diseases of the heart. Typically, a PET scan takes several minutes, which is why movement caused by the patient's breathing inevitably degrades image quality. Degraded image quality caused by respiratory motion has been reported to affect PET scanning performed to detect cancer and heart conditions in particular. At worst, image degradation may lead to a wrong diagnosis and inadequate or unnecessary treatment.

The results were originally published in Medical & Biological Engineering & Computing, Physiological Measurement, and Physics in Medicine and Biology.

The doctoral dissertation, entitled Bioimpedance Technique in Respiratory- and Dual-gated Positron Emission Tomography Imaging, is available for download at http://urn.fi/URN:ISBN:978-952-61-1581-8

Most Popular Now

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...

ChatGPT Extracts Data for Ischaemic Stro…

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must...

Experts Propose Specific and Suited Guid…

Current Artificial Intelligence (AI) models for cancer treatment are trained and approved only for specific intended purposes. GMAI models, in contrast, can handle a wide range of medical data including...