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Updated: Oct 18, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
Published on: November 30, 2022
Magnetic resonance imaging of the orbit, Part 2: Characterization of orbital pathologies
Chinmay P Nagesh1, Raksha Rao2, Shivaprakash B Hiremath3
1Neurovascular and Interventional Radiology, Apollo Speciality Hospital, Bengaluru, Karnataka, India.
Abstract:
In this article we focus on a systematic approach to assess common orbital lesions on magnetic resonance imaging (MRI). The identification of the probable compartment or structure of origin helps narrow the differential diagnosis of a lesion. Analyzing the morphology, appearance, and signal intensity on various sequences, the pattern, and degree of contrast enhancement are key to characterize lesions on MRI. Imaging features suggesting cellularity and vascularity can also be determined to help plan for biopsy or surgery of these lesions. MRI can also distinguish active from chronic disease in certain pathologies and aids in selecting appropriate medical management. MRI may thus serve as a diagnostic tool and help in guiding therapeutic strategies and posttreatment follow-up.
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