MUMBAI, India, Oct. 11 -- Intellectual Property India has published a patent application (202431028210 A) filed by Larkai Healthcare Private Limited, Bankura, West Bengal, on April 5, 2024, for 'system and method for detecting patient rotation from chest x-ray images using deep learning.'
Inventor(s) include Pritam Dhalla.
The application for the patent was published on Oct. 10, under issue no. 41/2025.
According to the abstract released by the Intellectual Property India: "Disclosed herein is a system and method for detecting patient rotation/alignment in chest X-ray, which help to understand whether the patient is properly aligned during X-ray procedure or not, so that erroneous diagnosis/medication can be prevented from beginning. The system comprises a user interface (100) wirelessly linked with a server (200). The user interface (100) has an input section (102) for receiving a chest X-ray image, and an output section (104) for delivering a detection result in real-time. The server (200) is configured to: segment the image in two stages with respect to left and right clavicles (RC, LC), and five thoracic vertebras (T1-T5), respectively, using U-net models; superimpose the segmented clavicle image with the segmented thoracic vertebra image forming an overlapping region (OL) between the clavicles (RC, LC) and the thoracic vertebras (T1-T5); locate two innermost pixel values of the clavicles (RC, LC), and two outermost pixel values of the third thoracic vertebra (T3) present in the overlapping region (OL); calculate an average pixel value of the identified two outermost pixel values of the third thoracic vertebra (T3); subtract the identified two innermost pixel values of the clavicles (RC, LC) from the average pixel value separately to get corresponding two absolute values; derive the rotation index through division of the two absolute values; and compare the rotation index against a set of threshold values, and determine if the subject is rotated towards right or left, or the subject is correctly aligned based on the comparison status."
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