2.A medical image color correction method based on supervised color constancy.
Jiatuo XU ; Liping TU ; Zhifeng ZHANG ; Changle ZHOU
Journal of Biomedical Engineering 2010;27(4):721-726
This paper presents a medical image acquisition and analysis method-TRM (Topology Resolve-Map) Model-under natural light condition indoors. Firstly, in accordance to medical image color characteristics, a colorful and grayscale color control patch was made for use as supervised color. "Topology Resolve-Map-Restoration" was carried on in LAB color space of the one-dimensional L* space and the two-dimensional a* b* space. Then, L* value was regulated by subsection regulation and a* b* value was regulated by triangulation topological cutting--close in on center of gravity method. After correction of the 198 color blocks in 22 pictures, the results showed that, by comparison with the standard value, the deltaL*, deltaC* and deltaE decreased significantly (P < 0.01) after correction by TRM. After correction, the difference in image's color is reduced, the color saturation is improved and the value is closer to true value. TRM model can significantly reduce the color difference of the medical image under natural light condition; it has a good effect on color correction.
Artificial Intelligence
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Calibration
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Color
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standards
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Humans
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Image Processing, Computer-Assisted
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methods
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Pattern Recognition, Automated
;
methods
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Photography
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instrumentation
;
methods
3.Using ImageJ to Evaluate Optic Disc Pallor in Traumatic Optic Neuropathy.
Sunah KANG ; Ungsoo Samuel KIM
Korean Journal of Ophthalmology 2014;28(2):164-169
PURPOSE: To evaluate optic disc pallor using ImageJ in traumatic optic neuropathy (TON). METHODS: This study examined unilateral TON patients. The optic disc was divided into 4 quadrants (temporal, superior, nasal, and inferior), consistent with the quadrants on optical coherence tomography (OCT) retinal nerve fiber layer (RNFL) thickness maps. Optic disc photography was performed and disc pallor was quantified using gray scale photographic images imported into ImageJ software. The correlation between optic disc pallor and RNFL thickness was examined in each quadrant. RESULTS: A total of 35 patients (31 male, 4 female) were enrolled in the study. The mean participant age was 34.8 +/- 15.0 years (range, 5 to 63 years). Overall RNFL thickness decreased in 6 patients, with thinning most often occurring in the inferior quadrant (28 of 35 eyes). There was a significant correlation between optic disc pallor and RNFL thickness (superior, rho = -0.358, p = 0.04; inferior, rho = -0.345, p = 0.04; nasal, rho = -0.417, p = 0.01; temporal, rho = -0.390, p = 0.02). The highest level of correspondence between disc pallor and RNFL thickness values outside of the normative 95th percentiles was 39.3% and occurred in the inferior quadrant. CONCLUSIONS: Optic disc pallor in TON was quantified with ImageJ and was significantly correlated with RNFL thickness abnormalities. Thus, ImageJ evaluations of disc pallor may be useful for evaluating RNFL thinning, as verified by OCT RNFL analyses.
Adolescent
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Adult
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Child
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Child, Preschool
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Colorimetry/methods/standards
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Diagnosis, Computer-Assisted/*methods/standards
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Female
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Humans
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Male
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Middle Aged
;
Optic Atrophy/etiology/*pathology
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Optic Nerve Diseases/etiology/*pathology
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Optic Nerve Injuries/*pathology
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Photography/*methods/standards
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Reproducibility of Results
;
Software
;
Tomography, Optical Coherence/*methods/standards
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Trauma Severity Indices
;
Young Adult
4.Clinical Usefulness of Cervicogram as a Primary Screening Test for Cervical Neoplasia.
Young Tae KIM ; Jae Wook KIM ; Sung Hoon KIM ; Yu Ri KIM ; Jae Hoon KIM ; Bo Sung YOON ; Yong Won PARK
Yonsei Medical Journal 2005;46(2):213-220
The purpose of this study is to evaluate the clinical usefulness of the cervicogram as a primary screening test for cervical neoplasia. A total of 294 women who had undergone a cervicogram and a Pap test between January and July 2003, were selected. The diagnostic accuracy of the Pap test, cervicogram, and the Pap test combined with a cervicogram were compared with the histopathologic diagnosis. Among 294 women, the Pap test was negative in 130 cases and positive in 164 cases. Among patients with positive Pap test, cervicogram were negative in 101 cases (61.6%) and positive in 63 cases (38.4%). The diagnostic accuracy between cervicogram with positive Pap test and histology was as follows; sensitivity 44.9%, specificity 78.3%, positive predictive value 84.1%, negative predictive value 32.7%, false positive rate 15.9%, and false negative rate 67.3%. Although the adjunctive use of cervicogram with the Pap test in the initial screening of cervical neoplasia showed a higher specificity and higher positive predictive value compared to the Pap test alone, consideration in terms of lower sensitivity, lower positive predictive value, higher false positive rate and cost-effectiveness should be given in lieu of clinically applying cervicogram with the pap test as an initial screening test.
Adult
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Aged
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Aged, 80 and over
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Cervix Neoplasms/diagnosis/*pathology
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Cervix Uteri/*pathology
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Female
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Humans
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Mass Screening/*methods
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Middle Aged
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Photography/*standards
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Predictive Value of Tests
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Research Support, Non-U.S. Gov't
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Sensitivity and Specificity
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Vaginal Smears