High-contrast, High-Resolution CT Scans Now Possible at Reduced Dose

Scientists have developed an X-ray imaging method that could drastically improve the contrast of computed tomography (CT) scans whilst reducing the radiation dose deposited during the scan. The new method is based on the combination of the high contrast obtained by an X-ray technique known as grating interferometry with the three-dimensional capabilities of CT. It is also compatible with clinical CT apparatus, where an X-ray source and detector rotate continuously around the patient during the scan. The results are published in Proceedings of the National Academy of Sciences (PNAS) dated 4-8 June 2012.

The main author of the paper is Irene Zanette from the European Synchrotron Radiation Facility ESRF (Grenoble, FR) and Technical University of Munich TUM (DE), and the team also comprises scientists from the Paul Scherrer Institute PSI (Villigen, CH), the Karlsruhe Institute of Technology KIT (DE), and Synchrotron SOLEIL (Gif-sur-Yvette, FR).

The conventional way of producing X-ray images is to shine an X-ray beam on the investigated object and measure the transmitted intensity behind it. This is the method that W.C. Röntgen developed in 1895, just after he discovered X-rays. To the present day, it is commonly used, for example, in hospitals and for security screening at airports. However, since this technique relies on variations in how the different constituents of an object absorb X-rays, it also has severe limitations notably in medical X-raying where cancerous and healthy soft tissue often do not show enough contrast to be clearly distinguished.

In the past years, a lot of effort has therefore been put into the development of new X-ray imaging techniques that do not rely solely on absorption but increase the contrast through the observation of other types of interaction between X-rays and matter.

Of these new methods, a very promising one is the so-called "X-ray grating interferometry", in which microstructures, gratings developed at PSI and KIT, serve as optical elements for X-rays. The setup for this contrast-enhancing technique is simple and compact, and it can be combined with computed tomography (CT) X-ray scanners to yield virtual slice images and full 3D information of an object. Over the past decade, grating interferometry has been constantly improved, with a focus on medical applications.

The team of scientists has now made an important step towards clinical implementation of this technique - a new measurement protocol called "sliding window" technique. "We wanted to shorten the gap between the potential offered by this extremely powerful technique and its application in the biomedical field. Our sliding window method reduces the dose and acquisition time and makes grating interferometry compatible with the continuous rotation of the gantry used in clinical CT," says Timm Weitkamp from Synchrotron SOLEIL.

Grating interferometry uses, in addition to information on absorption, measurements of X-ray phase changes to produce "differential phase contrast" images. Density differences of only 0.5 mg/cm3 can be discerned using grating-based phase contrast.

To demonstrate the exceptional resolution of the new technique, various soft tissue body parts of a small mammalian specimen, a rat, were imaged. Within the tests, rendered in 3D, minute details are visible such as the individual seminiferous tubules, tiny tubes in which sperm cells are formed. "These structures are simply invisible in standard CT, even in high-resolution setups - not only because of their tiny size, but even more so because they hardly give any contrast," explains Zanette, who was recently presented the ESRF Young Scientist Award for her work.

In addition to phase contrast, grating interferometry can also yield so-called "dark-field" tomography images. These show the presence of sub-pixel-size structures in the object, such as fibres, cracks or nanosized pores. In the study now reported in PNAS, wings of a wasp fossilised in amber - mostly invisible in previous X-ray investigations of the same specimen - were revealed in their full length with the dark-field signal. These results encourage the use of dark-field imaging not only in palaeontology and materials science, but also in the medical field, for example to reveal minuscule cracks in bones or small fibres in soft tissue.

The complementarity of the image signals accessed with grating interferometry and the new simple and fast acquisition procedure make grating interferometry an attractive technique for high-sensitivity imaging in the biomedical field, in materials science and in palaeontology, and possibly also in future hospital CT scanners.

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...