PMID- 22255068
OWN - NLM
STAT- MEDLINE
DCOM- 20120620
LR  - 20211021
IS  - 2694-0604 (Electronic)
IS  - 1557-170X (Print)
IS  - 2375-7477 (Linking)
VI  - 2011
DP  - 2011
TI  - 3D optical coherence tomography super pixel with machine classifier analysis for 
      glaucoma detection.
PG  - 3395-8
LID - 10.1109/IEMBS.2011.6090919 [doi]
AB  - Current standard quantitative 3D spectral-domain optical coherence tomography 
      (SD-OCT) analyses of various ocular diseases is limited in detecting structural 
      damage at early pathologic stages. This is mostly because only a small fraction 
      of the 3D data is used in the current method of quantifying the structure of 
      interest. This paper presents a novel SD-OCT data analysis technique, taking full 
      advantage of the 3D dataset. The proposed algorithm uses machine classifier to 
      analyze SD-OCT images after grouping adjacent pixels into super pixel in order to 
      detect glaucomatous damage. A 3D SD-OCT image is first converted into a 2D 
      feature map and partitioned into over a hundred super pixels. Machine classifier 
      analysis using boosting algorithm is performed on super pixel features. One 
      hundred and ninety-two 3D OCT images of the optic nerve head region were tested. 
      Area under the receiver operating characteristic (AUC) was computed to evaluate 
      the glaucoma discrimination performance of the algorithm and compare it to the 
      commercial software output. The AUC of normal vs glaucoma suspect eyes using the 
      proposed method was statistically significantly higher than the current method 
      (0.855 and 0.707, respectively, p=0.031). This new method has the potential to 
      improve early detection of glaucomatous structural damages.
FAU - Xu, Juan
AU  - Xu J
AD  - Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, 
      Ophthalmology and Visual Science Research Center, University of Pittsburgh School 
      of Medicine, Pittsburgh, PA 15213, USA. xuj3@upmc.edu
FAU - Ishikawa, Hiroshi
AU  - Ishikawa H
FAU - Wollstein, Gadi
AU  - Wollstein G
FAU - Schuman, Joel S
AU  - Schuman JS
LA  - eng
GR  - P30 EY008098/EY/NEI NIH HHS/United States
GR  - R01 EY013178/EY/NEI NIH HHS/United States
GR  - R01-EY013178/EY/NEI NIH HHS/United States
GR  - P30-EY008098/EY/NEI NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Annu Int Conf IEEE Eng Med Biol Soc
JT  - Annual International Conference of the IEEE Engineering in Medicine and Biology 
      Society. IEEE Engineering in Medicine and Biology Society. Annual International 
      Conference
JID - 101763872
SB  - IM
MH  - Algorithms
MH  - Glaucoma/classification/*diagnosis
MH  - Humans
MH  - ROC Curve
MH  - *Tomography, Optical Coherence
PMC - PMC3376357
MID - NIHMS382588
EDAT- 2012/01/19 06:00
MHDA- 2012/06/21 06:00
PMCR- 2012/06/16
CRDT- 2012/01/19 06:00
PHST- 2012/01/19 06:00 [entrez]
PHST- 2012/01/19 06:00 [pubmed]
PHST- 2012/06/21 06:00 [medline]
PHST- 2012/06/16 00:00 [pmc-release]
AID - 10.1109/IEMBS.2011.6090919 [doi]
PST - ppublish
SO  - Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:3395-8. doi: 
      10.1109/IEMBS.2011.6090919.