PubTransformer

A site to transform Pubmed publications into these bibliographic reference formats: ADS, BibTeX, EndNote, ISI used by the Web of Knowledge, RIS, MEDLINE, Microsoft's Word 2007 XML.




PMID- 28692736
OWN - NLM
STAT- MEDLINE
DA  - 20170710
DCOM- 20170714
LR  - 20170714
IS  - 1552-5783 (Electronic)
IS  - 0146-0404 (Linking)
VI  - 58
IP  - 9
DP  - 2017 Jul 01
TI  - Spatial Entropy Pursuit for Fast and Accurate Perimetry Testing.
PG  - 3414-3424
LID - 10.1167/iovs.16-21144 [doi]
AB  - Purpose: To propose a static automated perimetry strategy that increases the
      speed of visual field (VF) evaluation while retaining threshold estimate
      accuracy. Methods: We propose a novel algorithm, spatial entropy pursuit (SEP),
      which evaluates individual locations by using zippy estimation by sequential
      testing (ZEST) but additionally uses neighboring locations to estimate the
      sensitivity of related locations. We model the VF with a conditional random field
      (CRF) where each node represents a location estimate that depends on itself as
      well as its neighbors. Tested locations are randomly selected from a pool of
      locations and new locations are added such that they maximally reduce the
      uncertainty over the entire VF. When no location can further reduce the
      uncertainty significantly, remaining locations are estimated from the CRF
      directly. Results: SEP was evaluated and compared to tendency-oriented strategy, 
      ZEST, and the Dynamic Test Strategy by using computer simulations on a test set
      of 245 healthy and 172 glaucomatous VFs. For glaucomatous VFs, root-mean-square
      error (RMSE) of SEP was comparable to that of existing strategies (3.4 dB),
      whereas the number of stimulus presentations of SEP was up to 23% lower than that
      of other methods. For healthy VFs, SEP had an RMSE comparable to evaluated
      methods (3.1 dB) but required 55% fewer stimulus presentations. Conclusions: When
      compared to existing methods, SEP showed improved performances, especially with
      respect to test speed. Thus, it represents an interesting alternative to existing
      strategies.
FAU - Wild, Derk
AU  - Wild D
AD  - Ophthalmic Technology Laboratory, ARTORG Center for Biomedical Engineering
      Research, University of Bern, Bern, Switzerland.
FAU - Kucur, Serife Seda
AU  - Kucur SS
AD  - Ophthalmic Technology Laboratory, ARTORG Center for Biomedical Engineering
      Research, University of Bern, Bern, Switzerland.
FAU - Sznitman, Raphael
AU  - Sznitman R
AD  - Ophthalmic Technology Laboratory, ARTORG Center for Biomedical Engineering
      Research, University of Bern, Bern, Switzerland.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Invest Ophthalmol Vis Sci
JT  - Investigative ophthalmology & visual science
JID - 7703701
SB  - IM
MH  - Algorithms
MH  - Entropy
MH  - Glaucoma/complications/*diagnosis/physiopathology
MH  - Humans
MH  - Reproducibility of Results
MH  - Sensitivity and Specificity
MH  - Sensory Thresholds
MH  - Vision Disorders/*diagnosis
MH  - Visual Field Tests/*methods
EDAT- 2017/07/12 06:00
MHDA- 2017/07/15 06:00
CRDT- 2017/07/11 06:00
AID - 2643482 [pii]
AID - 10.1167/iovs.16-21144 [doi]
PST - ppublish
SO  - Invest Ophthalmol Vis Sci. 2017 Jul 1;58(9):3414-3424. doi:
      10.1167/iovs.16-21144.