Semi-automated 2D Bruch's membrane shape analysis in papilledema using spectral-domain optical coherence tomography

on behalf of the OCT Sub-Study Committee for the NORDIC Idiopathic Intracranial Hypertension Study Group

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Recent studies have shown that the Bruch's membrane (BM) and retinal pigment epithelium (RPE), visualized on spectral-domain optical coherence tomography (SD-OCT), is deformed anteriorly towards the vitreous in patients with intracranial hypertension and papilledema. The BM/RPE shape has been quantified using a statistical-shape-model approach; however, to date, the approach has involved the tedious and time-consuming manual placement of landmarks and correspondingly, only the shape (and shape changes) of a limited number of patients has been studied. In this work, we first present a semi-automated approach for the extraction of 20 landmarks along the BM from an optic-nerve-head (ONH) centered OCT slice from each patient. In the approach, after the manual placement of the two Bruch's membrane opening (BMO) points, the remaining 18 landmarks are automatically determined using a graph-based segmentation approach. We apply the approach to the OCT scans of 116 patients (at baseline) enrolled in the Idiopathic Intracranial Hypertension Treatment Trial and generate a statistical shape model using principal components analysis. Using the resulting shape model, the coefficient (shape measure) corresponding to the second principal component (eigenvector) for each set of landmarks indicates the degree of the BM/RPE is oriented away from the vitreous. Using a subset of 20 patients, we compare the shape measure computed using this semi-automated approach with the resulting shape measure when (1) all landmarks are specified manually (Experiment I); and (2) a different expert specifies the two BMO points (Experiment II). In each case, a correlation coefficient ≥ 0.99 is obtained.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
PublisherSPIE
Volume9417
ISBN (Print)9781628415070
DOIs
StatePublished - 2015
EventMedical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging - Orlando, United States
Duration: Feb 24 2015Feb 26 2015

Other

OtherMedical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CityOrlando
Period2/24/152/26/15

Fingerprint

Bruch Membrane
Papilledema
Optical tomography
Optical Coherence Tomography
tomography
membranes
landmarks
Membranes
Retinal Pigments
Retinal Pigment Epithelium
Pigments
epithelium
Statistical Models
pigments
hypertension
Pseudotumor Cerebri
Intracranial Hypertension
Optic Disk
Principal Component Analysis
Eigenvalues and eigenfunctions

Keywords

  • Bruch's membrane
  • Optical coherence tomography
  • Papilledema
  • Shape analysis

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

on behalf of the OCT Sub-Study Committee for the NORDIC Idiopathic Intracranial Hypertension Study Group (2015). Semi-automated 2D Bruch's membrane shape analysis in papilledema using spectral-domain optical coherence tomography. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 9417). [941721] SPIE. https://doi.org/10.1117/12.2077797

Semi-automated 2D Bruch's membrane shape analysis in papilledema using spectral-domain optical coherence tomography. / on behalf of the OCT Sub-Study Committee for the NORDIC Idiopathic Intracranial Hypertension Study Group.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9417 SPIE, 2015. 941721.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

on behalf of the OCT Sub-Study Committee for the NORDIC Idiopathic Intracranial Hypertension Study Group 2015, Semi-automated 2D Bruch's membrane shape analysis in papilledema using spectral-domain optical coherence tomography. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 9417, 941721, SPIE, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, Orlando, United States, 2/24/15. https://doi.org/10.1117/12.2077797
on behalf of the OCT Sub-Study Committee for the NORDIC Idiopathic Intracranial Hypertension Study Group. Semi-automated 2D Bruch's membrane shape analysis in papilledema using spectral-domain optical coherence tomography. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9417. SPIE. 2015. 941721 https://doi.org/10.1117/12.2077797
on behalf of the OCT Sub-Study Committee for the NORDIC Idiopathic Intracranial Hypertension Study Group. / Semi-automated 2D Bruch's membrane shape analysis in papilledema using spectral-domain optical coherence tomography. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9417 SPIE, 2015.
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abstract = "Recent studies have shown that the Bruch's membrane (BM) and retinal pigment epithelium (RPE), visualized on spectral-domain optical coherence tomography (SD-OCT), is deformed anteriorly towards the vitreous in patients with intracranial hypertension and papilledema. The BM/RPE shape has been quantified using a statistical-shape-model approach; however, to date, the approach has involved the tedious and time-consuming manual placement of landmarks and correspondingly, only the shape (and shape changes) of a limited number of patients has been studied. In this work, we first present a semi-automated approach for the extraction of 20 landmarks along the BM from an optic-nerve-head (ONH) centered OCT slice from each patient. In the approach, after the manual placement of the two Bruch's membrane opening (BMO) points, the remaining 18 landmarks are automatically determined using a graph-based segmentation approach. We apply the approach to the OCT scans of 116 patients (at baseline) enrolled in the Idiopathic Intracranial Hypertension Treatment Trial and generate a statistical shape model using principal components analysis. Using the resulting shape model, the coefficient (shape measure) corresponding to the second principal component (eigenvector) for each set of landmarks indicates the degree of the BM/RPE is oriented away from the vitreous. Using a subset of 20 patients, we compare the shape measure computed using this semi-automated approach with the resulting shape measure when (1) all landmarks are specified manually (Experiment I); and (2) a different expert specifies the two BMO points (Experiment II). In each case, a correlation coefficient ≥ 0.99 is obtained.",
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