Friday, May 7, 2021
Home Life Style Health & Fitness IIT-M researchers develop algorithms to detect MS with accuracy

IIT-M researchers develop algorithms to detect MS with accuracy

ALS_cross

New Delhi: Researchers at IIT-Madras (IIT-M) have developed algorithms that could help detect multiple sclerosis (MS) which, since it is visible as several small lesions, could be easily missed.

MS is a disease in which the protective sheath covering the nerves gets destroyed, disrupting the communication between the brain and the rest of the body. This leads to difficulty in speech, sight and the ability to move.

“The task of accurate delineation of regions (segmentation) of the brain affected with MS is a difficult and time-consuming affair. Owing to this, significant variability can be observed in the regions marked by different radiologists on the same image. In case of MS, only 50 percent of the marked areas would match each other,” Ganapathy Krishnamurthi, professor in IIT-M’s department of engineering design, who led the research, told a media outlet.

He added that the team’s research focusses on development of automated methods to perform accurate segmentation of disorders, such as MS and Glioma.

Explaining further, he said that these segmentations were important for doctors to obtain quantitative metrics for treatment monitoring and planning, as well as for surgical operations.

The number of multiple sclerosis patients has increased in India in recent years. It is estimated that there are between 100,000 and 200,000 MS patients in India. According to the All India Institute of Medical Sciences, which carried out a study in 2013 on the patients of multiple sclerosis it treats, about 70-80 percent of patients were in the 18-35 age group.

Krishnamurthi shared that while working in collaboration with Thiruvananthapuram’s Sree Chitra Thirunal Institute of Medical Sciences and Technology, the team identified that accurate labelling of disorder-affected regions in brain MRI could be a difficult affair due to its “complex shape and vague boundaries”.

“Moreover, it is a tedious task since radiologists cannot visualize in 3D and the task needs to be performed slice by slice,” he said.

He added that this led to the research on automated methods for identification of glioma (brain tumors) affected regions from MRI images.

“However, the core algorithms developed in the process were such that they could be used in the detection of other disorders as well. Multiple Sclerosis is a chronic disease which is visible as several small lesions which can be easily missed. This being a particularly difficult task, we decided to extend the research scope and tackle this problem as well,” he said.

The symptoms of MS include weakness or numbness of limbs, blurring, partial or complete loss of vision, slurred speech, dizziness, tremors, lack of coordination and tingling sensation or pain in the body.

The team, comprising Suthirth Vaidya and Abhijith Chunduru, final year integrated masters (B.Tech+M.Tech) students from the engineering design department under the guidance of Krishnamurthi and M. Ramanathan, used technology known as ‘Deep Learning’, which is inspired by advances in neuroscience and is loosely based on the interpretation of information processing and communication within the nervous system.

“Deep Learning is one of the recent methods developed in machine learning, based on the interpretation of how human brain and nervous systems – the neural networks- work. These networks consist of stacked layers consisting of several mathematical models of neurons, which is the computational equivalent of information processing in the brain. Although these methods have been around for more than a decade, recent developments in computational resources have made large and complex networks with near-human performance possible,” Krishnamurthi explained.

Voice recognition on Android smartphone, Google’s self-driving car and automatic photo tagging feature on Facebook are all powered by Deep Learning.

The team, which emerged victorious in the recently held Longitudinal Multiple Sclerosis Segmentation challenge at International Symposium on Biomedical Imaging (ISBI) 2015 at New York, is currently in the process of building a software tool that can be used by clinicians.

“Our next steps in this endeavor would be to test extensively with more clinical data to assess the effectiveness of the software and subsequently deploy the software for use by our clinical collaborators. Based on the performance in a clinical setting (purely for evaluation) we will try to get regulatory approval for our software. Since training accurate models require large amounts of data, ethical committee approvals from various hospitals would be required. We are already in collaboration with Sree Chitra Thirunal Hospital and are confident of seeing the product put in use in a span of two to four years,” he said.

So, will it make MS treatment/diagnosis cheaper?

“These methods when implemented can substantially reduce the time and cost for diagnosis of various brain diseases like MS. The algorithms for image analysis are basically tools for diagnosis and aid clinicians to judge progression of disease and efficacy of therapy. For instance, in large clinical trials, these automated algorithms can be used to analyze patient data,” Krishnamurthi added.

(IANS)

STAY CONNECTED

19,512FansLike
362FollowersFollow
1,773FollowersFollow

Most Popular

Report: Immediate Action Is Needed To Reduce Methane Emissions

A Global Methane Assessment released on Thursday by the Climate and Clean Air Coalition (CCAC) and the United Nations Environment Programme (UNEP) showed that...

Racism In The United States Has a Long History

By- Khushi Bisht It was 1915, and India was still fighting for freedom when a man with his wife and three children chose to flee...

The Global Social And Economic Impact Of The Gambling Industry

By Rahul Rana Gambling as a form of leisure has been around since the dawn of modern civilization. It has undergone many different evolutions and...

7 Tips To Prevent Dark Spots From Body

If you are someone prone to pigmentation, then you might know the struggle of getting rid of dark spots. Recurring and stubborn dark spots...

Exploring The World’s Greatest Investors Minds

Billionaire investors. If we think of them, it's with a mixture of awe and suspicion. Clearly, they possess a kind of genius -- the...

Sumptuous Iftar’s Recipes For Evening

While many spend the holy month Ramadan fasting, part of the rituals include breaking the daily fast with an evening meal. The Park Hotels...

These Three High-Potential Stocks Could Be The Best Stocks To Invest In The Near Future

By Willa Holland Diageo Plc The COVID-19 pandemic has disrupted the company's global businesses: Diageo has lost revenue in markets due to lockdowns, and the fact...

5 Insane Cults Still Operating Today

BY- JAYA CHOUDHARY Strange practices and dangerous teachings have been performed by bizarre cults since the dawn of time, and our time is no different....

Recent Comments