MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641034474 A) filed by Marri Laxman Reddy Institute Of Technology And Management, Hyderabad, Telangana, on March 22, for 'hardware-based brain tumor detection system using fpga for mri image analysis.'
Inventor(s) include Dr. K. Kavitha Kankanala; Mrs. P Lavanya; Kuchulakanti Apoorva; Podapati Manoj Kumar; Jilla Sheshu Sai; Mrs. Pranali Dilip Surkar; Mr. Kavati Sridhar; and Mrs. Babitha Ramagiri.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Early detection of brain tumors from MRI images is essential for effective diagnosis and treatment planning. Existing detection approaches based on software pipelines or GPU-based deep learning models suffer from high latency, large power consumption, and limited suitability for portable medical devices. This invention presents a fully hardware-integrated FPGA-based embedded system for real-time brain tumor detection, where the entire processing pipeline is executed within dedicated programmable logic without reliance on software. The system performs anisotropic diffusion filtering for noise removal, adaptive thresholding for tumor segmentation, morphological processing for region refinement, and region analysis for tumor localization. Implemented on a Xilinx Artix-7 FPGA, the system achieves 60 frames per second for 512 512 MRI images at 150 MHz with power consumption below 3.5 W, delivering over 200 performance improvement compared to software implementations. The design interfaces with MRI equipment through Camera Link and outputs annotated results via HDMI, with compatibility for ASIC implementation in portable medical diagnostic devices."
Disclaimer: Curated by HT Syndication.
