Fully automated segmentation of globes for volume quantification in CT images of orbits using deep learning

L Umapathy, B Winegar, L MacKinnon… - American Journal …, 2020 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Fast and accurate quantification of globe volumes in the
event of an ocular trauma can provide clinicians with valuable diagnostic information. In this …

Contextual deep regression network for volume estimation in orbital CT

S Chaganti, C Bermudez, LA Mawn, T Lasko… - … Image Computing and …, 2019 - Springer
Diseases of the optic nerve cause structural changes observable through clinical computed
tomography (CT) imaging. Previous work has shown that multi-atlas methods can be used to …

Post-traumatic enophthalmos secondary to orbital fat atrophy: a volumetric analysis

LM Cohen, LA Habib, MK Yoon - Orbit, 2020 - Taylor & Francis
Purpose To investigate via volumetric analysis whether orbital fat atrophy occurs in late post-
traumatic enophthalmos. Methods An IRB-approved retrospective cohort study identified …

[HTML][HTML] A new and validated CT-based method for the calculation of orbital soft tissue volumes

NI Regensburg, PHB Kok, FW Zonneveld… - … & visual science, 2008 - arvojournals.org
purpose. There is no consensus as how to calculate orbital soft tissue volume based on CT
or MRI scans. The authors sought to validate their technique and to assess the intraobserver …

Deep-learning-based estimation of 3D optic-nerve-head shape from 2D color fundus photographs in cases of optic disc swelling

MS Islam, JK Wang, W Deng, MJ Thurtell… - … Medical Image Analysis …, 2020 - Springer
In cases of optic disc swelling, volumetric measurements and shape features are promising
to evaluate the severity of the swelling and to differentiate the cause. However, previous …

Model-based segmentation in orbital volume measurement with cone beam computed tomography and evaluation against current concepts

MEH Wagner, NC Gellrich, KI Friese, M Becker… - International journal of …, 2016 - Springer
Purpose Objective determination of the orbital volume is important in the diagnostic process
and in evaluating the efficacy of medical and/or surgical treatment of orbital diseases. Tools …

Efficient orbital structures segmentation with prior anatomical knowledge

N Aghdasi, Y Li, A Berens, RA Harbison… - Journal of Medical …, 2017 - spiedigitallibrary.org
We present a fully automatic method for segmenting orbital structures (globes, optic nerves,
and extraocular muscles) in CT images. Prior anatomical knowledge, such as shape …

[HTML][HTML] Deep-learning-based estimation of regional volumetric information from 2D fundus photography in cases of optic disc swelling

S Johnson, MS Islam, JK Wang… - … & Visual Science, 2019 - iovs.arvojournals.org
Purpose: With the introduction of optical coherence tomography (OCT) as well as retinal-
layer-segmentation algorithms, quantitative assessment for optic disc swelling has …

[HTML][HTML] Semantic Segmentation of Extraocular Muscles on Computed Tomography Images Using Convolutional Neural Networks

RRBJ Shanker, MH Zhang, DT Ginat - Diagnostics, 2022 - mdpi.com
Computed tomography (CT) imaging of the orbit with measurement of extraocular muscle
size can be useful for diagnosing and monitoring conditions that affect extraocular muscles …

Computer-aided analysis of orbital volume: a novel technique

EB Strong, SC Fuller, HS Chahal - Ophthalmic Plastic & …, 2013 - journals.lww.com
Objective: To demonstrate the accuracy and efficiency of a novel software tool designed
specifically for volumetric analysis of the orbit. Methods: The software was evaluated for …