PMID- 28817571
OWN - NLM
STAT- MEDLINE
DCOM- 20171018
LR  - 20201214
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 12
IP  - 8
DP  - 2017
TI  - Automated segmentation of mouse OCT volumes (ASiMOV): Validation & clinical study 
      of a light damage model.
PG  - e0181059
LID - 10.1371/journal.pone.0181059 [doi]
LID - e0181059
AB  - The use of spectral-domain optical coherence tomography (SD-OCT) is becoming 
      commonplace for the in vivo longitudinal study of murine models of ophthalmic 
      disease. Longitudinal studies, however, generate large quantities of data, the 
      manual analysis of which is very challenging due to the time-consuming nature of 
      generating delineations. Thus, it is of importance that automated algorithms be 
      developed to facilitate accurate and timely analysis of these large datasets. 
      Furthermore, as the models target a variety of diseases, the associated 
      structural changes can also be extremely disparate. For instance, in the light 
      damage (LD) model, which is frequently used to study photoreceptor degeneration, 
      the outer retina appears dramatically different from the normal retina. To 
      address these concerns, we have developed a flexible graph-based algorithm for 
      the automated segmentation of mouse OCT volumes (ASiMOV). This approach 
      incorporates a machine-learning component that can be easily trained for 
      different disease models. To validate ASiMOV, the automated results were compared 
      to manual delineations obtained from three raters on healthy and BALB/cJ mice 
      post LD. It was also used to study a longitudinal LD model, where five control 
      and five LD mice were imaged at four timepoints post LD. The total retinal 
      thickness and the outer retina (comprising the outer nuclear layer, and inner and 
      outer segments of the photoreceptors) were unchanged the day after the LD, but 
      subsequently thinned significantly (p < 0.01). The retinal nerve fiber-ganglion 
      cell complex and the inner plexiform layers, however, remained unchanged for the 
      duration of the study.
FAU - Antony, Bhavna Josephine
AU  - Antony BJ
AD  - Electrical and Computer Engineering, Johns Hopkins University, Baltimore MD 21218 
      United States of America.
FAU - Kim, Byung-Jin
AU  - Kim BJ
AD  - Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore MD 
      21287 United States of America.
FAU - Lang, Andrew
AU  - Lang A
AD  - Electrical and Computer Engineering, Johns Hopkins University, Baltimore MD 21218 
      United States of America.
FAU - Carass, Aaron
AU  - Carass A
AD  - Electrical and Computer Engineering, Johns Hopkins University, Baltimore MD 21218 
      United States of America.
FAU - Prince, Jerry L
AU  - Prince JL
AD  - Electrical and Computer Engineering, Johns Hopkins University, Baltimore MD 21218 
      United States of America.
FAU - Zack, Donald J
AU  - Zack DJ
AD  - Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore MD 
      21287 United States of America.
AD  - Department of Neuroscience, The Johns Hopkins University School of Medicine, 
      Baltimore, MD 21287 United States of America.
AD  - Department of Molecular Biology and Genetics, The Johns Hopkins University School 
      of Medicine, Baltimore, MD 21287 United States of America.
AD  - Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, 
      Baltimore, MD 21287 United States of America.
LA  - eng
GR  - R01 EY024655/EY/NEI NIH HHS/United States
GR  - P30 EY001765/EY/NEI NIH HHS/United States
GR  - T32 EY007143/EY/NEI NIH HHS/United States
GR  - R21 EY023812/EY/NEI NIH HHS/United States
GR  - R01 EY023754/EY/NEI NIH HHS/United States
PT  - Journal Article
DEP - 20170817
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - Animals
MH  - Disease Models, Animal
MH  - Female
MH  - Immunohistochemistry
MH  - Light/*adverse effects
MH  - Longitudinal Studies
MH  - Mice
MH  - Reproducibility of Results
MH  - Retina/diagnostic imaging/pathology/radiation effects
MH  - Retinal Diseases/*diagnostic imaging/*etiology/pathology
MH  - *Tomography, Optical Coherence/methods
PMC - PMC5560565
COIS- Competing Interests: The authors have declared that no competing interests exist.
EDAT- 2017/08/18 06:00
MHDA- 2017/10/19 06:00
PMCR- 2017/08/17
CRDT- 2017/08/18 06:00
PHST- 2016/11/08 00:00 [received]
PHST- 2017/06/26 00:00 [accepted]
PHST- 2017/08/18 06:00 [entrez]
PHST- 2017/08/18 06:00 [pubmed]
PHST- 2017/10/19 06:00 [medline]
PHST- 2017/08/17 00:00 [pmc-release]
AID - PONE-D-16-44448 [pii]
AID - 10.1371/journal.pone.0181059 [doi]
PST - epublish
SO  - PLoS One. 2017 Aug 17;12(8):e0181059. doi: 10.1371/journal.pone.0181059. 
      eCollection 2017.