MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641111553 A) filed by Saveetha Institute Of Medical And Technical Sciences on September 17, 2026, for Ultrasound Image Quality Enhancement Tool.
Inventors include Sanjay S; Dr. Joselin Jayasheela; Dr. Sakeena Parveen; and Dr Ramya Mohan.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The Ultrasound Image Quality Enhancement Tool is a mobile-based healthcare application designed to improve the quality and diagnostic reliability of ultrasound images by assisting clinicians in obtaining clearer and more interpretable visual data. The system processes ultrasound images in real-time and addresses common challenges such as speckle noise, low contrast, blurring, and imaging artifacts that can affect clinical decision-making.The application utilizes input ultrasound images and applies advanced image processing techniques, including noise reduction, contrast enhancement, edge preservation, and image sharpening, to enhance overall image clarity. In addition, the system incorporates machine learning algorithms trained on medical imaging datasets to intelligently enhance structural details and reduce unwanted distortions while preserving important anatomical features.By combining rule-based image enhancement methods with AI-driven models, the application analyzes image quality and automatically selects or recommends suitable enhancement techniques.It also includes configurable processing options, allowing users to customize enhancement levels based on specific imaging requirements. Integration with a centralized backend system ensures seamless data handling, fast processing, and scalability for real-world deployment.This solution enhances image interpretability, reduces diagnostic uncertainty, and improves workflow efficiency for healthcare professionals. By providing clearer ultrasound images, the tool contributes to better clinical analysis and supports improved patient outcomes, making it a valuable asset in modern medical imaging applications.
Disclaimer: Curated by HT Syndication.
