MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541132871 A) filed by N Sathish Kumar; S P. Viinal; M S Thrinethra; M Virna; G Ranjitham; N Karthiha; and A Mahalakshmi, Madurai, Tamil Nadu, on Dec. 29, 2025, for 'antenna based microwave imaging technique for detection and classification of brain tumors.'
Inventor(s) include N Sathish Kumar; S P Viinal; M S. Thrinethra; M Virna; G. Ranjitham; N Karthiha; and A Mahalakshmi.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "This work presents the design and analysis of a multi band microstrip antenna developed for brain tumor detection, with its primary operation centered around 5 GHz. The antenna is constructed on an FR4 substrate with a dielectric constant of 4.3 and a thickness of 1.6 mm. Both the radiating patch and ground plane are made of copper, each with a thickness of 0.035 mm. The antenna's performance is evaluated using key parameters such as radiation pattern, VSWR, and the S 11 return loss. Electromagnetic field characteristics, including electric (Efield) and magnetic (H-field) distributions, are also examined. These parameters play a crucial role in determining the antenna's sensitivity and reliability in tumor detection. To simulate realistic brain tissue, a multilayer brain phantom model is created in CST Microwave Studio. This model enables detailed analysis of how the antenna interacts with biological tissues. Special attention is giyen to the S 11 parameter, which is essential for identifying abnormalities within .the. braip.. Tumor. tissue exhibits different dielectric properties, causing noticeable shifts in impedance when exposed to microwaves. These impedance variations .are capture4 through changes in return .loss, enabling the. detection. of abnormal regions. The design process includes optimizing antenna geometry, incorporating fractal elements, and refining simulation conditions. Through these simulations, the antenna's ability to detect variations in tissue characteristics is thoro uglily assessed. The observed deviations in S 11 values confirm the antenna's suitability for identifying tumor-like anomalies. Advanced design and signal analysis techniques further enhance detection accuracy. The multiband nature of the antenna increases its effectiveness across multiple frequencies. This contributes to improved reliability in distinguishing healthy tissue from tumor-affected regions. Overall, the proposed antenna design demonstrates strong potential for .non-invasive brai11 tumor detection. Its low cost, safety, and diagnostic accuracy make it a promising tool for early medical intervention. This approach (lffers.a practical and efficient pathway for advancing microwave-based medical diagnostics."
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