Laser cross to position a patient model wearing a short face mask in a computed...

Image source: Unsplash/National Cancer Institute

Better tissue discrimination, lower radioation dose

Improving image quality of CT scans

Computed tomography (CT) is one of the most effective medical tests for analysing the effects of many illnesses, including COVID-19, on the lungs. An international team led by the Universitat Oberta de Catalunya (UOC) has developed a new method that improves the quality of the images obtained from CT scans.

The algorithm, which has been tested on simulated data, enables them to distinguish different body’s tissue types better and opens the door to lowering the doses of radiation to which patients are exposed during this type of test.

The researchers published their findings in the Journal of Information Processing.

Our viewpoint was proposing a post-processing approach that does not need a substantial hardware reconfiguration and gives more freedom to imaging scientists for further exploration

Mohammad Mahdi Dehshibi

To reduce the radiation a patient is exposed to during a CT scan, the team led by Mohammad Mahdi Dehshibi, a postdoctoral researcher at the UOC's Scene Understanding and Artificial Intelligence laboratory (SUNAI), of the UOC's Faculty of Computer Science, Multimedia and Telecommunications,  of the Pattern Research Centre in Teheran, Iran, has developed a new post-processing algorithm which increases the quality of reconstructed CT images. While conventional CT methods pick up only a part of the X-ray energy spectrum, the researchers tested a broader energy range, divided into intervals, to reach higher contrast. After testing it on constructed data using GATE/GEANT4 simulation software, they found that the algorithm enhances the quality of the images while reducing noise, which enables better discrimination between different types of tissue with lower doses of X-rays.

Recommended article

Photo

Chest X-ray, CT and more

Imaging the coronavirus disease COVID-19

Chest X-ray is the first imaging method to diagnose COVID-19 coronavirus infection in Spain, but in the light of new evidence this may change soon, according to Milagros Martí de Gracia, Vice President of the Spanish Society of Radiology (SERAM) and head of the emergency radiology unit at La Paz Hospital in Madrid, one of the hot spots for viral re-production of COVID-19.

"Distinguishing between two different tissues (either normal or abnormal ones) in the same region is critical for physicians or radiologists to plan for further treatments, where this decision is dealing with the patients' lives," he said. "Having better tissue discrimination increases the success rate of the medicine's plan." The new method increases the capacity to distinguish between tissues by 60% in simulations compared to conventional CT. "Our viewpoint was proposing a post-processing approach that does not need a substantial hardware reconfiguration and gives more freedom to imaging scientists for further exploration," Dehshibi said. "We hope that the findings of this study are later examined in the clinical setting to reduce the radioactive effect of irradiating with X-ray."


Source: Universitat Oberta de Catalunya (UOC)

12.05.2020

Read all latest stories

Related articles

Photo

Algorithm-assisted diagnostics

AI in imaging: not as reliable as you'd think

Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests. A team of researchers, led by the University of…

Photo

AI in radiology

Deep learning helps visualize X-ray data in 3D

A team of scientists at Argonne National Laboratory has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.

Photo

CT, MRI, X-ray, AI, PACS, endoscopy, ultrasound

Fujifilm Healthcare acquires Hitachi Diagnostic Imaging, presents new portfolio

At a virtual European event, Fujifilm Healthcare Europe presented a complete and integrated portfolio of diagnostic products and services, including CT, MRI, X-ray, AI, PACS, endoscopy and ultrasound…

Related products

Canon - Advanced Intelligent Clear-IQ Engine for CT

Artificial Intelligence

Canon - Advanced Intelligent Clear-IQ Engine for CT

Canon Medical Systems Europe B.V.
Canon - Aquilion Exceed LB

Oncology CT

Canon - Aquilion Exceed LB

Canon Medical Systems Europe B.V.
Canon - HIT Automation Platform

Artificial Intelligence

Canon - HIT Automation Platform

Canon Medical Systems Europe B.V.
Canon Medical - CT Scan Unit

Mobile CT Solutions

Canon Medical - CT Scan Unit

Canon Medical Systems Europe B.V.
Fujifilm - FDR EX-M1 AI box

Aritificial Intelligence

Fujifilm - FDR EX-M1 AI box

FUJIFILM EUROPE GmbH
Fujifilm · REiLI

Artificial Intelligence

Fujifilm · REiLI

FUJIFILM EUROPE GmbH
Subscribe to Newsletter