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Development of an Automated Algorithm to Quantify Optic Nerve Diameter Using Ultrasound Measures: Implications for Optic Neuropathies

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Computer Vision and Machine Intelligence

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 586))

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Abstract

The paper presents a novel computational and image processing algorithm for automatic measurement of optic nerve diameter (OND) from B-scan ultrasound images acquired in a traumatic cohort. The OND is an important diagnostic parameter for the detection and therapeutic planning of several diseases and trauma cases. The automated measurement of OND may provide reliable information for predicting intracranial pressure (ICP) in traumatic patients. In the proposed method, the automatic measurement of the OND involves pre-processing an ultrasound image, followed by retinal globe detection, optic nerve localization, optic nerve tip detection and measurement of OND. The proposed algorithm measures the OND in the perpendicular direction to the optic nerve axis, considering the orientation of the optic nerve in an automated framework. The developed algorithm automatically calculates the OND. The study includes Twenty-four traumatic individuals with optic nerve pathologies whose B-scan ultrasound images of the optic nerve were manually obtained in the axial plane. The accuracy of the automatic measurement has been quantified by comparing it with manually measured OND by medical experts. A low Percent Root Mean Square Difference (PRD) value of 14.92% between automated and manually measured OND is found as an accuracy measure for the automatic measurement of OND. The proposed algorithm automatically and accurately determines the optic nerve diameter from an eye ultrasound image.

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Authors and Affiliations

  1. Centre for Development of Telematics, Telecom Technology Centre of Government of India, New Delhi, India

    Vishal Gupta

  2. Electronics and Communication Engineering Department, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India

    Maninder Singh, Rajeev Gupta & Basant Kumar

  3. JPNATC, All India Institute of Medical Sciences, New Delhi, India

    Deepak Agarwal

Authors
  1. Vishal Gupta
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  2. Maninder Singh
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  3. Rajeev Gupta
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  4. Basant Kumar
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  5. Deepak Agarwal
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Corresponding author

Correspondence to Maninder Singh .

Editor information

Editors and Affiliations

  1. Computer Vision Laboratory, University of Sassari, Alghero, Sassari, Italy

    Massimo Tistarelli

  2. Computer Vision and Biometrics Lab, Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, India

    Shiv Ram Dubey

  3. Computer Vision and Biometrics Lab, Department of Information Technology, Indian Institute of Information Technology, Allahabad, India

    Satish Kumar Singh

  4. University of Münster, Münster, Germany

    Xiaoyi Jiang

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Gupta, V., Singh, M., Gupta, R., Kumar, B., Agarwal, D. (2023). Development of an Automated Algorithm to Quantify Optic Nerve Diameter Using Ultrasound Measures: Implications for Optic Neuropathies. In: Tistarelli, M., Dubey, S.R., Singh, S.K., Jiang, X. (eds) Computer Vision and Machine Intelligence. Lecture Notes in Networks and Systems, vol 586. Springer, Singapore. https://doi.org/10.1007/978-981-19-7867-8_23

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