MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641051089 A) filed by Saveetha Institute Of Medical And Technical Sciences on April 22, 2026, for Oralens : A Guided Digital Imaging System For Standardized Photography , Automated Measurement Of Lesion Dimensions And Structured Pre And Post Treatment Comparison Of Oral Lesions.
Inventors include Dr. M. Sreenath Raju; Dr. Sreedevi D; and Deepak Nallaswamy Veeraiyan.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: ABSTRACT Clinical photography of oral mucosal lesions is widely used in oral medicine for documentation, diagnosis, and monitoring of disease progression. However, conventional photographic methods are highly operator-dependent and lack standardized imaging protocols, resulting in inconsistent images that cannot be reliably compared across different clinical visits. In addition, existing documentation methods do not provide automated quantitative measurement of lesion dimensions, including the greatest height and width, nor do they facilitate structured comparison between pre-treatment and post-treatment images. The present irivenfion discloses OralLens, a computer:..implem~mted guided digital imaging system designed to standardize the acquisition, analysis, and documentation of oral lesion photographs. The system integrates real-time image capture guidance, automated image quality control, lighting and colour normalization algorithms, lesion segmentation algorithms, calibration-based measurement protocols, and structured metadata storage to generate reproducible and quantitatively measurable clinical records. The system automatically detects lesion boundaries and calculates lesion dimensions including maximum height, maximum width, and surface area using standardized calibration algorithms that convert pixel-based measurements into real-world units. Baseline pre-treatment images are stored with positional and calibration metadata, allowing follow-up images to be aligned with baseline records through computational image registration. The system then computes quantitative changes in lesion dimensions and generates objective metrics of lesion progression or healing. In addition to improving clinical documentation and research reliability, the system provides significant patient-centred benefits. The measured lesion dimensions and comparative changes between visits can be visually displayed to patients through graphical representations and annotated images. This enables patients to clearly understand the severity of their oral condition, the extent of lesion size at baseline, and the measurable improvement or progression during treatment. Such visual and quantitative feedback improves patient education, enhances treatment awareness, and promotes adherence to therapeutic recommendations. Patients can observe reductions in lesion height, width, and surface area following treatment, which reinforces treatment compliance and follow-up attendance. Conversely, early identification of lesion enlargement or lack of healing may prompt timely clinical intervention and encourage patients to modify risk habits such as tobacco or areca nut use. The invention therefore not only standardizes oral lesion documentation for clinicians but also serves as an effective communication tool that facilitates patient counselling, disease awareness, and shared decision-making in clinical care. By converting subjective clinical photographs into standardized, measurable, and visually interpretable data, the system improves diagnostic accuracy, longitudinal monitoring of oral diseases, research reproducibility, patient engagement, and medico-legal reliability of clinical records.
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