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Image:  CT scan shows a slight reticular pattern in the left lower lobe and subpleural area; Copyright: Zheng et al.

Deep learning makes it possible to detect COVID-19 lesions by analyzing CT chest scans

03/12/2021

A new automated system that involves deep learning technology enables the detection of COVID-19 lesion via the analysis of a computed tomography (CT) scan. This system, described in a study published in the journal Computers in Biology and Medicine, has been carried out by researchers of the UB, the EURECAT Technology Centre of Catalonia, and the Computing Vision Center (CVC).
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Image: Man looking at MRI scan; Copyright: PantherMedia  / Ischukigor

MRI and AI can detect early signs of tumor cell death after novel therapy

02/12/2021

A team led by researchers at Massachusetts General Hospital (MGH) has demonstrated ​​that magnetic resonance imaging (MRI) and artificial intelligence (AI) can be used to detect early signs of tumor cell death in response to a novel virus-based cancer therapy.
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Image: red marked liver in the human body; Copyright: PantherMedia  / sciencepics

New PET imaging-based tool detects liver inflammation from fatty liver disease

01/12/2021

A UC Davis Health team has developed a first-of-its-kind positron emission tomography (PET) scan imaging-based tool to detect liver inflammation in patients affected with non-alcoholic fatty liver disease.
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Image: Neuronal cell nuclei of the dentus gyratus and associated blood vessels; Copyright: M. Eckermann/T. Salditt

X-ray image throws light on neurodegenerative disease

29/11/2021

Researchers at the University of Göttingen and University Medical Center Göttingen have now found a new technique to measure and quantify neuronal tissue architecture in three dimensions and at high resolution, which enabled them to identify changes in neurons in Alzheimer's.
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Image: Dr. Jens Bankstahl and Professor Dr. Tobias Ross; Copyright: Karin Kaiser / MHH

Better images for science

25/11/2021

In order to detect and research diseases, it is important to look inside the body. For this purpose, there are various imaging methods – from ultrasound examinations to X-rays and computer tomography. Molecular imaging provides a particularly precise insight, showing biological processes and organ functions "live".
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Image: Grad-CAM heatmaps for deep learning models; Copyright: American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

Deep learning for extremity radiographs confounded by labels

19/11/2021

According to an open-access Editor's Choice article in ARRS' American Journal of Roentgenology (AJR), convolutional neural networks (CNN) trained to identify abnormalities on upper extremity radiographs are susceptible to a ubiquitous confounding image feature that could limit their clinical utility: radiograph labels.
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Image: Appendicitis CT scan; Copyright: PantherMedia  / Genrix20061.mail.ru

Doctors can use CT scans with less radiation to diagnose appendicitis

12/11/2021

A new paper in the British Journal of Surgery, published by Oxford University Press, indicates it's now possible to diagnose appendicitis using low-dose CT scans, decreasing the radiation exposure, which is of significant clinical importance especially in young patients.
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Image: Dr. Kolja Them and a MRI machine; Copyright: MOIN CC, Uni Kiel

Progress in the imaging of metabolic processes

11/11/2021

A research team in Kiel has developed new contrast agents for magnetic resonance imaging in order to be able to make biochemical processes visible.
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Image: Professor Dr. Danny Jonigk and Christopher Werlein; Copyright: Karin Kaiser / MHH

New X-ray technique shows vascular damage in intact COVID-19 lungs for first time

05/11/2021

When the coronavirus enters the lung, it causes massive tissue damage. Now, an international research team has been able to demonstrate for the first time, using a highly innovative X-ray technique in a non-destructive manner, that severe COVID-19 causes massive remodelling of the finest blood vessels by causing normally separate blood systems to join together with unusual frequency.
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Image: Co-author PD Dr. med. Andreas Sauter evaluating X-ray images; Copyright: Andreas Heddergott / TUM

Darkfield X-ray technology improves diagnosis of pulmonary ailments

27/10/2021

For the first time, researchers at the Technical University of Munich (TUM) have successfully used a new X-ray method for respiratory diagnostics with patients. Dark-field X-rays visualize early changes in the alveolar structure caused by the lung disease COPD and require only one fiftieth of the radiation dose typically applied in X-ray computed tomography.
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Image: Philip Chikontwe and Prof. Sang Hyun Park; Copyright: DGIST

Worth a thousand words: Automated diagnosis of COVID-19 from Chest CTs

25/10/2021

Chest CT scans have emerged as a quick and effective way to diagnose the disease, but they require radiologist expertise to interpret, and sometimes the scans look similar to other kinds of lung infections, like bacterial pneumonia.
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Image: Different types of images; Copyright: Nina Shvetsova et al./IEEE Access

Artificial intelligence spots anomalies in medical images

22/10/2021

Scientists from Skoltech, Philips Research, and Goethe University Frankfurt have trained a neural network to detect anomalies in medical images to assist physicians in sifting through countless scans in search of pathologies. Reported in ​​IEEE Access, the new method is adapted to the nature of medical imaging and is more successful in spotting abnormalities than general-purpose solutions.
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Image: This 3D graphic shows the SINQ, which helps to produce radionuclides for medical purposes; Copyright: Paul Scherrer Institut/Mahir Dzambegovic

Novel and emerging medical radionuclides

29/09/2021

PRISMAP – The European medical radionuclides programme sets out to substantially change the European landscape for novel and emerging medical radionuclides.
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Image: MRI machine and screens with doctor and nurse; Copyright: PantherMedia/ImageSupply

Consistent clinical implementation of quantitative MRI

29/09/2021

The University of Texas M. D. Anderson Cancer Center and Siemens Healthineers announced the collaborative development of a global education program focused on enabling the implementation of consistent, high-quality magnetic resonance (MR) imaging in radiationoncology. They are also collaborating to develop standardized MR protocols that will improve quantitative response assessment.
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Image: UVC LED irradiation system comprising 120 LEDs emitting at 233 nm wavelength - to inactivate pathogens or coronaviruses without damaging the skin; Copyright: FBH/P. Immerz

FBH presents new diode laser and UV LED developments at the Photonics Days

27/09/2021

From October 4 - 7, 2021, the Photonics Days Berlin Brandenburg will be held in hybrid format. The Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik (FBH) will participate with talks and in the two-day exhibition on October 6-7 in Berlin-Adlershof.
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Image: Aerial view of the unfinished hospital in the savannah; Copyright: Dagmar Braun

Much-needed medical technology: a hospital for Togo

10/02/2020

If life has given you many blessings, you should share them with others – and you also need to be a little crazy. That's Dagmar Braun's point of view. She initiated the construction of a hospital in Togo, Africa. The country currently lacks the system required to deliver comprehensive medical care. Surgical equipment and gynecology devices are much-needed to compensate for these deficits.
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Image: Robot points with his finger at CT images of the brain, in the background a CT device; Copyright: panthermedia.net/phonlamai

Man vs. machine – the benefits of AI in imaging

02/09/2019

Radiology is a field that produces large volumes of data, which can no longer be managed without the help of intelligent systems. This is especially true when it comes to the interpretation of medical images. While this takes physicians years of training and experience, several hours of work and the highest level of concentration, AI only requires a few seconds to accomplish the same task.
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Image: Robot looks at huge amount of CT images of the brain; Copyright: panthermedia.net/phonlamai

AI in imaging: how machines manage our Big Data

02/09/2019

In modern medicine, especially in the field of imaging, huge amounts of data are produced – so much that radiologists can hardly keep up with diagnosing the images. Artificial Intelligence could be the solution to this problem. But how exactly can it help in this task? How can man and machine work together? And what else will be possible in the future with the support of intelligent systems?
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Image: DLIR image of the aorta; Copyright: GE Healthcare

Deep Learning Image Reconstruction – what AI looks like in clinical routine

02/09/2019

Artificial intelligence is no longer a dream of the future in medicine. Many studies and initial application examples show that it sometimes achieves better results than human physicians. At Jena University Hospital, the work with AI is already lived practice. It is the first institution in the world to use algorithms in radiological routine to reconstruct CT images.
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Bild: Mann liegt auf dem Boden, vor ihm der mobile Roboter mit Tablet; Copyright: Fraunhofer IPA

MobiKa – programmed to help

22/05/2019

Many illnesses or old age require help with everyday tasks. Unfortunately, family members or caregivers aren’t always available to lend a hand. The MobiKa mobile service robot is designed to offer support, deliver motivation and improve the quality of life of those in need.
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Image: Screenshot of the VR app: a small penguin sitting on the treatment table of the MRI device; Copyright: Entertainment Computing Group, Uni DUE & LAVAlabs Moving Images

Gamification: how penguins help children overcome their MRI fear

23/04/2019

It's noisy, tight and scary - that's how children feel about a magnetic resonance imaging (MRI) machine. Because they are scared, they are often too fidgety and anxious during the procedure, causing the images to blur or the scan to be stopped. Researchers have now developed a VR app called Pingunauten Trainer that’s designed to gently prepare the little patients for MRI scans.
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Image: Man on a treatment table under a radiation therapy device; Copyright: panthermedia.net/adriaticphoto

Cardiac arrhythmia: treatment in the linear accelerator

08/04/2019

Cardiac arrhythmia is a group of conditions where nerve cells trigger uncontrolled contractions of the heart muscle. They are treated with either medicine or catheter ablation of the tissue. In an interdisciplinary collaboration, cardiologists and radiotherapists took a different approach and used high-precision radiation therapy to treat a patient for whom the other options proved unfeasible.
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Image: Radiology assistant presses a button at the front of a CT; Copyright: panthermedia.net/Arne Trautmann

Lung cancer: Screening with low-Dose CT scans

01/10/2018

Lung cancer is one of the most common and deadliest cancers. The symptoms tend to be non-specific, often causing its detection to be too late. Currently, there is no comprehensive screening. This could change with the use of low-dose CT scans. It should be noted that this is not just an issue of technical feasibility. A screening test must also make sense from a health policy perspective.
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Image: graphical steps of lung segmentation; Copyright: Universitätsklinikum Carl Gustav Carus/A. Braune

Lung segmentation: easier and faster thanks to new algorithms

01/10/2018

A look inside the lungs is a time-consuming process. To identify the boundaries of the respiratory organ from surrounding other organs, tissues, and structures requires between 200 and 500 computed tomographic images and subsequent manual markings – an elaborate process that can take up to six hours. An optimized computer program is now able to do this in only a few seconds.
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Image: A man is working at a computer that shows a model of the human liver; Copyright: Fraunhofer MEVIS

AI in medicine: Machines do not learn like humans

01/08/2018

For years, medicine has been exploring AI techniques aimed at easing physician workload. While computers may not have the medical expertise and skills obtained through years of study, they can recognize patterns and specific features in datasets and draw deductions.
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Image: Young female radiologist is looking at pictures of the head and takes some notes; Copyright: panthermedia.net/mark@rocketclips.com

Radiology: machine learning to support medical diagnostics

08/03/2018

Automation makes work life easier in many ways but is it also a solution for analyzing medical images? Is a computer actually reliable enough to assist in the medical decision making process? Researchers in Landshut examine how machine learning algorithms can work more reliably and support radiologists.
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