Video | Business Headlines | Internet | Science | Scientific Ethics | Technology | Search

 

Neural Network Helps Doctors Detect Epilepsy-causing Malformation In The Brain

Skoltech researchers and their colleagues from the Pirogov National Medical and Surgical Center and the Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology have used a convolutional neural network to automate detection of focal cortical dysplasia, a common cause of epilepsy, in MRI images. The findings may help doctors diagnose the condition faster and more accurately. The paper was presented at the International Conference on Cognitive Sciences (Intercognsci 2020).

Focal cortical dysplasia (FCD) is a congenital development malformation of the brain cortex, when neurons in a specific area fail to organize properly. It is one of the most common brain lesions that cause epilepsy, and it is usually diagnosed by a radiologist inspecting an MRI scan of the patient’s brain.

The team led by Skoltech Professors Alexander Bernstein, Evgeny Burnaev and Senior Research Scientist Maxim Sharaev, decided to enhance the existing deep learning-based method of automating the detection of FCD. With the help of clinical partners they got labelled MRI scans of patients with this diagnosis, as well as healthy subjects to train and use a convolutional neural network, and used the Zhores supercomputing cluster for their calculations.

“Detecting the source of epilepsy is a very difficult task that requires special skills. Unfortunately, there is a significant shortage of radiologists who have relevant significant practical experience and are trained to look for such anomalies. As a result, inaccurate detection of epilepsy zones can lead to inefficiently planned surgical operations,” Sharaev says.

There are just a few examples of using deep CNNs for this task, and one of the biggest problems researchers had to tackle was the lack of annotated data and its low quality. “To overcome this issue, we developed our own labelling system which helps the radiologist in annotating MRI images. Another issue is the three-dimensional nature of MR images, so here we present several solutions to work with 3D data as well as its 2D plane projections,” Burnaev explains.

In the best-performing configuration of the model, FCD regions were successfully detected for 11 out of 15 subjects, the authors write. “It is the first example, a kind of proof-of-concept for our methods. A lot of work needs to be done to improve model quality, robustness and related things. Only after these issues are resolved we could think of clinical implementation for our neural network,” Sharaev notes.

Now the team is working with clinical partners to obtain more data to train and validate the model as well as looking at different machine learning and deep learning architectures. “For instance, now some of our PhD students are developing novel mesh-oriented and point cloud technologies to extract anomalies from 3D MRI data,” Burnaev says.

The scientists are also working on a startup project – their web-based platform for MRI analysis is already being tested as an aid to radiologists that can help detect anomalies in scans. “In parallel, we are working on more sophisticated approaches, such as the one discussed in the current paper, which could result in a much more accurate automatic system for MRI analysis and detecting brain anomalies,” he adds.

© Scoop Media

 
 
 
Business Headlines | Sci-Tech Headlines

 


Digitl: Download 2.0 – Vodafone Wi-Fi Calling hits early milestone
Vodafone says it has 10,000 customers using its Wi-Fi Calling service. It took less than three months to reach that milestone; the service began operating in September... More>>

Energy Resources Aotearoa: New Law On Decommissioning Could Be Costly Overkill
A new law on decommissioning oil and gas fields passed by Parliament today has good intentions but is overkill, according to Energy Resources Aotearoa. "We strongly support operators taking responsibility and paying the costs for decommissioning, which is what all good operators do," says chief executive John Carnegie... More>>


Commerce Commission: News Publishers’ Association Seeks Authorisation To Engage In Collective Bargaining

News Publishers’ Association of New Zealand Incorporated seeks authorisation and provisional authorisation to engage in collective bargaining with Facebook and Google. The Commerce Commission has received applications from News Publishers’ Association of New Zealand Incorporated (NPA) seeking authorisation and provisional authorisation on behalf of itself... More>>


ABC Business Sales: Demand High For Covid-proof Businesses
Despite the continuing challenges facing businesses in this Covid environment, right now there are more buyers looking for a small-medium sized business than there are sellers in the market... More>>


PriceSpy: Producer Prices Increase
New Black Friday and Covid-19 Report* released by PriceSpy says people’s fear of stepping inside physical shops during big sales events like Black Friday has risen since last year; Kiwis are still planning to shop, but more than ever will do it online this year... More>>

NZ Skeptics Society: Announce Their 2021 Awards, And Dr Simon Thornley Wins The Bent Spoon

Every year the New Zealand Skeptics presents its awards to people and organisations who have impressed us or dismayed us, and this year it’s been hard to pick our winners because there have been so many choices!.. More>>



REINZ: Sales Volumes Leveling Out

Data released today by the Real Estate Institute of New Zealand (REINZ) shows there were 44 fewer lifestyle property sales (-2.6%) for the three months ended October 2021 than for the three months ended September 2021... More>>