Atherosclerosis ; diagnosis ; Humans ; Tomography, Optical Coherence ; methods

INTRODUCTIONFor many years, ophthalmologists have looked at the optic nerve head to evaluate the status of glaucoma. Clinical examination of the optic nerve head and retinal nerve fibre layer (RNFL) is however, subjective and sometimes variable. Recent developments in computer-based imaging technologies have provided a means of obtaining quantitative measurements of the optic nerve head topography and peripapillary retinal nerve fibre layer thickness.

METHODSMultiple searches using Medline were carried out. Additional searches were made using reference lists of published papers and book chapters.

RESULTSStudies involving three imaging technologies namely, confocal scanning laser ophthalmoscopy, scanning laser polarimetry and optical coherence tomography were reviewed. Overall, these technologies were reproducible and demonstrate good sensitivity and specificity in the range of 70 to 80%. Inclusion of age and ethnicity normative database will make these technologies more effective in screening and diagnosis. Quantitative measurements provide useful parameters for monitoring of patients.

CONCLUSIONThere is no consensus on the best technology for assessing structural damage in glaucomatous optic neuropathy. Therefore, as with any investigation, the clinician should exercise clinical correlation and judgment before instituting the appropriate treatment.

Female ; Humans ; Middle Aged ; Ophthalmoscopy ; methods ; Optic Nerve ; Retina ; Sensitivity and Specificity ; Tomography, Optical ; methods ; Tomography, Optical Coherence

According to the characteristics of OCT images for macula edema, we studied a method for segmentation of the macula edema. Based on the Chan-Vese model, we proposed an improved level-set algorithm. With defining the integer-valued signed function directly, the curve could evolute outward or inward by changing the inside neighboring rid points and outside neighboring grid points into each other. We realized image segmentation which is much faster than the method of Chan-Vese model and smoothness regularization. We segmented 45 images and extracted the macula edema of each image. After achieving good segmentation results, we estimated the volume of the macular edema. The method provides quantitative analytic tools for clinical diagnosis and therapy.
Algorithms ; Humans ; Image Interpretation, Computer-Assisted ; methods ; Macular Edema ; diagnosis ; pathology ; Tomography, Optical Coherence ; methods

In order to extract the outlines of macular edema from OCT images of macular, and estimate the volume of edema, we have to accurately segment the macular edema region. In this paper, an improved PCNN algorithm was proposed to conduct the above process. Combined with the adaptive base threshold, and the simplified neural network parameters, a binary image of macular edema was produced. According to the principle of maximum image entropy, the optimal number of iterations was determined as 8, which was evaluated by its misclassification rate. Simulation showed that the proposed algorithm could extract the macular edema region rapidly and accurately, providing the basis for further OCT image analysis.
Algorithms ; Fluorescein Angiography ; methods ; Humans ; Macular Edema ; diagnostic imaging ; Radiography ; Tomography, Optical Coherence ; methods

PURPOSE: To evaluate the efficacy of strip meniscometry test for dye eye syndrome (DES) by measuring the correlation between strip meniscometry and conventional test measurements. METHODS: All subjects were examined using the Schirmer test, tear breakup time (TBUT) and strip meniscometry using SMTube (Echo Electricity Co., Ltd., Fukushima, Japan). Tear meniscus height (TMH), tear meniscus depth (TMD) and tear meniscus area (TMA) were measured using Fourier-domain optical coherence tomography. The DES group (n = 46 eyes) was compared with the normal group (n = 30 eyes) and correlation was assessed using Spearman's correlation coefficient. RESULTS: Strip meniscometry measurement was significantly correlated with Schirmer score (r = 0.6080, p < 0.01), TBUT (r = 0.5980, p < 0.01), TMH (r = 0.6210, p < 0.01), TMD (r = 0.6080, p < 0.01) and TMA (r = 0.6370, p < 0.01). Strip meniscometry was significantly lower in the DES group (4.58 ± 1.94 mm) than the normal group (7.07 ± 2.61 mm, p < 0.05). CONCLUSIONS: Strip meniscometry was significantly correlated with other conventional test measurements for dry eye syndrome. Strip meniscometry is less time consuming and a less invasive method than the Schirmer test. Strip meniscometry could be an efficient tool to evaluate patients with dry eye syndrome in a clinical setting.
Diagnosis* ; Dry Eye Syndromes* ; Electricity ; Humans ; Methods ; Tears ; Tomography, Optical Coherence

This investigation introduces GPU (Graphics Processing Unit)- based CUDA (Compute Unified Device Architecture) technology into signal processing of ophthalmic FD-OCT (Fourier-Domain Optical Coherence Tomography) imaging system, can realize parallel data processing, using CUDA to optimize relevant operations and algorithms, in order to solve the technical bottlenecks that currently affect ophthalmic real-time imaging in OCT system. Laboratory results showed that with GPU as a general parallel computing processor, the speed of imaging data processing using GPU+CPU mode is more than dozens times faster than traditional CPU platform based serial computing and imaging mode when executing the same data processing, which reaches the clinical requirements for two dimensional real-time imaging.
Computer Graphics ; Image Interpretation, Computer-Assisted ; Tomography, Optical Coherence ; instrumentation ; methods

BACKGROUNDOptical coherence tomography (OCT) is a new imaging technique capable of obtaining high-resolution intravascular images of small vessels and has been widely used in interventional cardiology. However, application of OCT in peripheral pulmonary arteries in patients has been seldom documented.

METHODSThree patients who were highly suspected peripheral pulmonary arteries thrombi and had undergone CT pulmonary angiography but tested negative for thrombi in peripheral pulmonary arteries were enrolled. Subsequently, OCT imaging was performed in peripheral pulmonary arteries. The patients received more than three-month anticoagulative treatment if thrombi were detected by OCT. Thereafter, OCT re-evaluation of the thrombolized blood vessels detected earlier was performed. The changes of thrombi before and after anticoagulative treatment were compared.

RESULTSThree patients underwent OCT imaging of peripheral pulmonary arteries. Thrombi were found in most of imaged vessels in these patients. Red and white thrombi can be differentiated, according to features of the thrombus on OCT images. After anticoagulation treatment, these patients' symptoms and hypoxemia improved. Repeated OCT imaging showed that most thrombi disappeared or became smaller.

CONCLUSIONOCT may be used as a potential tool for detecting peripheral pulmonary artery thrombi and differentiating red thrombi from white ones.

Adult ; Female ; Humans ; Male ; Middle Aged ; Pulmonary Embolism ; diagnosis ; Tomography, Optical Coherence ; methods

Coronary Artery Disease ; diagnosis ; therapy ; Humans ; Tomography, Optical Coherence ; methods ; Treatment Outcome

We made two mistakes in our recently published article. We are correcting the authorship and funding information.
Ear, Middle/*pathology ; Humans ; Otitis Media/*pathology ; Reproducibility of Results ; Sensitivity and Specificity ; Tomography, Optical Coherence/*methods

OBJECTIVEUsing the algorithm on the layered structure of the retina and quantitative analysis of the automatic segmentation technique is the key to the early diagnosis of glaucoma and other retinopathy on optical coherence tomography. Existing methods require high quality image and have low reliability. This paper used the improved complex nonlinear diffuse filtering and other methods to solve this problem.

METHODSThis paper includes algorithm such as automatic threshold, improved complex nonlinear diffusion filtering, morphological operations and peak detection. Use the method for the segmentation of 20 retinal layers images which acquired on the self-builder OCT system, the boundary of inner limiting membrane(ILM), outer nuclear layer(ONL), the photoreceptor segments(IS/ OS) and the RPE_ChCap layer are detected accurately. At last, the photoreceptor layer thickness is measured.

RESULTSThe results of segmentation and measurement are good corresponded with expert manual segmentation and measurements, retinal foveal measurements data is consistent with Zeiss Stratus OCT central retinal thickness 212+/-20 micro m.

CONCLUSIONThe algorithm proposed is prospective applied to clinical diagnosis of retinal diseases.

Algorithms ; Humans ; Retina ; anatomy & histology ; Software ; Tomography, Optical Coherence ; instrumentation ; methods