2014
DOI: 10.3414/me13-12-0142
|View full text |Cite
|
Sign up to set email alerts
|

Quantitative Conjunctival Provocation Test for Controlled Clinical Trials

Abstract: SummaryBackground: The conjunctival provocation test (CPT) is a diagnostic procedure for the assessment of allergic diseases. Photographs are taken before and after provocation increasing the redness of the conjunctiva due to hyperemia. Objective: We propose and evaluate an automatic image processing pipeline for objective and quantitative CPT. Method: After scale normalization based on intrinsic image features, the conjunctiva region of interest (ROI) is segmented combining thresholding, edge detection and Ho… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
46
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 14 publications
(47 citation statements)
references
References 15 publications
1
46
0
Order By: Relevance
“…Thus, digital analysis presents itself as a very sensitive method for evaluating the redness of the eye. The benefit and purpose of digital analysis have been demonstrated in multiple studies [29, 30]. This objective method for evaluating the relief of eye irritation further confirms the subjective patient evaluation and thus strengthens the hypothesis that LS is as effective as AD in reducing allergy symptoms.…”
Section: Discussionsupporting
confidence: 63%
“…Thus, digital analysis presents itself as a very sensitive method for evaluating the redness of the eye. The benefit and purpose of digital analysis have been demonstrated in multiple studies [29, 30]. This objective method for evaluating the relief of eye irritation further confirms the subjective patient evaluation and thus strengthens the hypothesis that LS is as effective as AD in reducing allergy symptoms.…”
Section: Discussionsupporting
confidence: 63%
“…(1) The conjunctival region of interest (ROI) to be analyzed was chosen manually using NIH ImageJ software (the iris and eyelids were excluded). As the bulbar position may have varied slightly in the images of one CPT series [20], it was important to display all pictures from 1 visit simultaneously, in order to determine the conjunctival intersection set visible in all of them. (2) After performing white balance, the ACE algorithm was applied to identify conjunctival vessels.…”
Section: Methodsmentioning
confidence: 99%
“…To enable an objective evaluation of the clinical reactions after the CPT, the eye reaction was documented in a high-resolution (4,032 × 3,042 pixels) macroimage that was analyzed using a MATLAB software program to calculate the degree of redness in percent developed by Astvatsatourov and Mösges [33] (alternative redness reconstruction was applied by Sárándi et al [34]). For this purpose, a photograph was taken before testing and 10 min after each provocation, respectively.…”
Section: Methodsmentioning
confidence: 99%