IIT Madras comes out with new technique to provide high-quality ultrasound images

The research will help provide a better diagnosis of diseases, detection of minute abnormalities and better real-time image-guided biopsy procedures and treatment monitoring applications.

Researchers at Indian Institute of Technology (IIT) Madras have developed a new technique that can provide a clear and high-quality visualisation through reconstructed ultrasound images. The research will help provide a better diagnosis of diseases, detection of minute abnormalities and better real-time image-guided biopsy procedures and treatment monitoring applications. 

Ultrasound imaging technique 

Ultrasound imaging technique is used to capture real-time images inside the human body. It has a wide range of clinical applications in the diagnosis and treatment of medical conditions. The technique is widely used to diagnose the cause of pain, swelling and infection in internal organs and to examine foetus in pregnant women.  

The institute has developed a new beamformer that plays a major role in the final reconstructed image quality. This will be helpful in outperforming other existing techniques and yield the best image resolution throughout the field of view. 

“This research could potentially facilitate several applications such as early detection and better diagnosis of diseases, detection of minute abnormalities within the human body such as renal stones, better real-time image-guided biopsy procedures and treatment monitoring applications,” said Arun K Thittai, Department of Applied Mechanics, IIT Madras.  

“We have developed a new technique called Filtered Delay optimally weighted Multiply and Sum (F-DowMAS), which will provide images that have a higher quality compared to existing technologies,” said Anudeep Vayyeti, a research scholar at IIT Madras. 

F-DowMAS technique can improve resolution, contrast of an image: Researchers 

The researchers claimed that the developed F-DowMAS technique can improve both resolution and contrast of an image and it can also reduce noise levels to a greater extent in the reconstructed image. 

“These enhancements will help clinicians notice the minute changes in anatomy, thereby helping in early and better diagnosis of diseases,” they said. 

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