PMID- 27507325
OWN - NLM
STAT- MEDLINE
DCOM- 20180511
LR  - 20181202
IS  - 1879-0771 (Electronic)
IS  - 0895-6111 (Print)
IS  - 0895-6111 (Linking)
VI  - 55
DP  - 2017 Jan
TI  - Incorporation of gradient vector flow field in a multimodal graph-theoretic 
      approach for segmenting the internal limiting membrane from glaucomatous optic 
      nerve head-centered SD-OCT volumes.
PG  - 87-94
LID - S0895-6111(16)30055-6 [pii]
LID - 10.1016/j.compmedimag.2016.06.007 [doi]
AB  - The internal limiting membrane (ILM) separates the retina and optic nerve head 
      (ONH) from the vitreous. In the optical coherence tomography volumes of glaucoma 
      patients, while current approaches for the segmentation of the ILM in the 
      peripapillary and macular regions are considered robust, current approaches 
      commonly produce ILM segmentation errors at the ONH due to the presence of blood 
      vessels and/or characteristic glaucomatous deep cupping. Because a precise 
      segmentation of the ILM surface at the ONH is required for computing several 
      newer structural measurements including Bruch's membrane opening-minimum rim 
      width (BMO-MRW) and cup volume, in this study, we propose a multimodal 
      multiresolution graph-based method to precisely segment the ILM surface within 
      ONH-centered spectral-domain optical coherence tomography (SD-OCT) volumes. In 
      particular, the gradient vector flow (GVF) field, which is computed from a 
      multiresolution initial segmentation, is employed for calculating a set of 
      non-overlapping GVF-based columns perpendicular to the initial segmentation. The 
      GVF columns are utilized to resample the volume and also serve as the columns to 
      the graph construction. The ILM surface in the resampled volume is fairly smooth 
      and does not contain the steep slopes. This prior shape knowledge along with the 
      blood vessel information, obtained from registered fundus photographs, are 
      incorporated in a graph-theoretic approach in order to identify the location of 
      the ILM surface. The proposed method is tested on the SD-OCT volumes of 44 
      subjects with various stages of glaucoma and significantly smaller segmentation 
      errors were obtained than that of current approaches.
CI  - Published by Elsevier Ltd.
FAU - Miri, Mohammad Saleh
AU  - Miri MS
AD  - Department of Electrical and Computer Engineering, The University of Iowa, Iowa 
      City 52242, IA, United States; Iowa City VA Health Care System, Iowa City 52246, 
      IA, United States. Electronic address: mohammadsaleh-miri@uiowa.edu.
FAU - Robles, Victor A
AU  - Robles VA
AD  - Department of Electrical and Computer Engineering, The University of Iowa, Iowa 
      City 52242, IA, United States; Iowa City VA Health Care System, Iowa City 52246, 
      IA, United States.
FAU - Abramoff, Michael D
AU  - Abramoff MD
AD  - Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa 
      City 52242, IA, United States; Department of Electrical and Computer Engineering, 
      The University of Iowa, Iowa City 52242, IA, United States; Department of 
      Biomedical Engineering, The University of Iowa, Iowa City 52242, IA, United 
      States; Iowa City VA Health Care System, Iowa City 52246, IA, United States.
FAU - Kwon, Young H
AU  - Kwon YH
AD  - Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa 
      City 52242, IA, United States.
FAU - Garvin, Mona K
AU  - Garvin MK
AD  - Iowa City VA Health Care System, Iowa City 52246, IA, United States; Department 
      of Electrical and Computer Engineering, The University of Iowa, Iowa City 52242, 
      IA, United States. Electronic address: mona-garvin@uiowa.edu.
LA  - eng
GR  - IK2 RX000728/RX/RRD VA/United States
GR  - R01 EB004640/EB/NIBIB NIH HHS/United States
GR  - R01 EY018853/EY/NEI NIH HHS/United States
GR  - R01 EY023279/EY/NEI NIH HHS/United States
PT  - Journal Article
DEP - 20160725
PL  - United States
TA  - Comput Med Imaging Graph
JT  - Computerized medical imaging and graphics : the official journal of the 
      Computerized Medical Imaging Society
JID - 8806104
SB  - IM
MH  - *Algorithms
MH  - Diagnostic Techniques, Ophthalmological
MH  - Glaucoma/*diagnostic imaging
MH  - Humans
MH  - Optic Disk/*diagnostic imaging
MH  - Retinal Vessels/diagnostic imaging
MH  - Tomography, Optical Coherence/*methods
PMC - PMC5219948
MID - NIHMS808943
OTO - NOTNLM
OT  - Fundus
OT  - Gradient vector flow
OT  - Graph-based segmentation
OT  - Internal limiting membrane
OT  - Multimodal segmentation
OT  - Ophthalmology
OT  - Optic nerve head
OT  - SD-OCT
OT  - Segmentation
EDAT- 2016/08/11 06:00
MHDA- 2018/05/12 06:00
PMCR- 2018/01/01
CRDT- 2016/08/11 06:00
PHST- 2016/01/29 00:00 [received]
PHST- 2016/06/15 00:00 [revised]
PHST- 2016/06/21 00:00 [accepted]
PHST- 2016/08/11 06:00 [pubmed]
PHST- 2018/05/12 06:00 [medline]
PHST- 2016/08/11 06:00 [entrez]
PHST- 2018/01/01 00:00 [pmc-release]
AID - S0895-6111(16)30055-6 [pii]
AID - 10.1016/j.compmedimag.2016.06.007 [doi]
PST - ppublish
SO  - Comput Med Imaging Graph. 2017 Jan;55:87-94. doi: 
      10.1016/j.compmedimag.2016.06.007. Epub 2016 Jul 25.