全生命周期的眼健康管理服务平台
|
CIRRUS HD-OCT 新款4000型和 400型 准确 用于视网膜疾病的CIRRUS CIRRUS于青光眼治疗
卓越的图像和智能的数据方 细节丰富的B-Scan加上 CIRRUS数据方， 让您无需额外的扫描即可分析和定量观察病理改变。 无以伦比的图像 凭借世界级蔡司品质的光学系统和超过十七年的OCT经验， CIRRUS 采集 视网膜与眼前节的锐利图像 。脉络膜增强成像 (EDI)技术更促进了深层视网膜脉络膜的成像、并提供了定量的测量。 
数据方的威力CIRRUS 在 6 x 6 mm 区域采集高密度数据方，用于可视化和分析。它是如何帮到您的:
    3D 和高级可视化™ 绘制超出B-Scan横截面的影像。 CIRRUS数据方可使用先进的3D和可视化工具进行处理与开采。区隔视网膜每一层以分析每一断面。穿越不同角度。答案就在数据方中， CIRRUS提供了发现它们的工具。
眼前节图像 根据平行扫描或容积扫描，CIRRUS 可对房角或角膜进行成像，而无需附加镜头。
您可以信任的诊断分析 凭借Fovea Finder™， AutoCenter™，正常值数据库以及更好的整体黄斑结构分层， CIRRUS 帮您将信息转化为诊断依据以支持您的临床决策。 蔡司分离算法 凭借超过十年的OCT经验，Carl Zeiss及其研究团队提供了卓越的分层算法用于测量。CIRRUS黄斑厚度、RNFL和视盘测量已经经过了广泛验证，表现出卓越的可重复性和准确分层。视盘算法设计用于在发生倾斜视盘， 视网膜色素上皮和其他复杂性病理中断时准确测量盘沿。 新的突破性高级RPE分析提供了对于干性老年性黄斑变性和色素上皮脱离的深入分析。神经节细胞分析-添加新的见解以补充RNFL和视神经头分析。 使用FoveaFinder™ 和 AutoCenter™测量定心 在黄斑上，独特的FoveaFinder™ 技术保证了ETDRS和神经节细胞加内网状层的测量框架都集中在中心凹。视盘自动居中AutoCenter™功能用于自动居中3.4 mm直径的视盘周围神经纤维层计算圈， 确保准确放置与图像对应。计算圈的位置不再取决于操作者放置位置的准确性。准确性、注册和可复制性都得到保证。 使用规范数据评估患者 识别黄斑上微小的病理 发现视神经缺损的新模式 – 偏差地图 CIRRUS 使你可以发现标准圈之外的视网膜神经纤维层改变及黄斑区GCA厚度。由于CIRRUS的正常值数据库被收集用于整个数据方，因此可逐像素跨越6mm x 6mm区域进行比较。楔形缺损和其他视网膜神经纤维缺失可被识别和监控。 中央角膜厚度和房角评估 FastTrac 视网膜跟踪能跟踪到之前的扫描位置 (CIRRUS HD-OCT 5000) 采集后注册 准确的黄斑病变测量和可视化 青光眼进展分析(GPA™)用于评估视网膜神经纤维层和视盘变化 精湛的临床实践和高效的工作流程 接受基本培训后就能对即使较难的患者采集高质量图像和可重复性的数据，保持流畅和快速患者检查。连接到EMR和带扩展能力的FORUM可以在设备和浏览工作站之间共享数据。 FastTrac TM视网膜跟踪 数据方或平行扫描仅需数秒 可以应对小瞳孔和更多其他挑战 空间的有效使用 分析和查看随心所欲 改变分析值得信任 准确，自动重复对应使你可以直观准确地测量改变分析。新改进的 GPA™ 现在包括视盘参数。
临床文献 视网膜 Automated Characterization of Pigment Epithelial Detachment by Optical Coherence Tomography Natural History of Drusen Morphology in Age-Related Macular Degneration Using Spectral Domain Optical Coherence Tomography Spectral Domain Optical Coherence Tomography Imaging of Drusen in Nonexudative Age-Related Macular Degeneration Progression of geographic atrophy in age-related macular degeneration imaged with spectral domain optical coherence tomography Spectral domain optical coherence tomography imaging of dry age-related macular degeneration Choroidal Thickness in Normal Eyes Measured Using Cirrus HD Optical Coherence Tomography Reproducibility of Macular Thickness Measurements Using Cirrus SD-OCT in Neovascular Age-Related Macular Degeneration Performance of OCT segmentation procedures to assess morphology and extension in geographic Atrophy Artifacts in Automatic Retinal Segmentation Using Different Optical Coherence Tomography Instruments Accuracy of retinal thickness measurements obtained with Cirrus optical coherence tomography Comparison Of Retinal Thickness Measurements and segmentation performance of four different spectral and time domain OCT devices in neovascular age-related macular degeneration Spectral domain optical coherence tomographic imaging of geographic atrophy Choroidal Thickness in Normal Eyes Measured Using Cirrus HD Optical Coherence Tomography Spectral domain optical coherence tomographic imaging of geographic atrophy. Accuracy of retinal thickness measurements obtained with Cirrus optical coherence tomography. Assessment of artifacts and reproducibility across spectral- and time-domain optical coherence tomography devices. Quality of the Threshold Algorithm in Age-Related Macular Degeneration:Stratus versus Cirrus OCT 青光眼 Glaucoma diagnostic accuracy of ganglion cell-inner plexiform layer thickness: comparison with nerve fiber layer and optic nerve headMwanza JC, Durbin MK, Budenz DL, Sayyad FE, Chang RT, Neelakantan A, Godfrey DG, Carter R, Crandall AS Measurement of Optic Disc Size and Rim Area with Spectral-Domain OCT and Scanning Laser Ophthalmoscopy Glaucoma diagnostic ability of quadrant and clock-hour neuroretinal rim assessment using cirrus HD optical coherence tomography Progression detection capability of macular thickness in advanced glaucomatous eyes Macular Ganglion Cell – Inner Plexiform Layer:Automated Detection and Thickness Reproducibility with Spectral Domain-Optical Coherence Tomography Profile and Predictors of Normal Ganglion Ceill-Inner Plexiform Layer Thickness Measured with Frequency-Domain Optical Coherence Tomography Repeatability of optic nerve head parameters measured by spectral-domain OCT in healthy eyes Ability of cirrus HD-OCT optic nerve head parameters to discriminate normal from glaucomatous eyes Retinal Nerve Fiber Layer Imaging with Spectral-Domain Optical Coherence Tomography Pattern of RNFL Defects in Glaucoma Reproducibility of peripapillary retinal nerve fiber layer thickness and optic nerve head parameters measured with cirrus HD-OCT in glaucomatous eyes Ability of Cirrus HD-OCT Optic Nerve Head Parameters to Discriminate Normal from Glaucomatous Eyes Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: analysis of the retinal nerve fiber layer map for glaucoma detection Reproducibility of Peripapillary Retinal Nerve Fiber Layer Thickness and Optic Nerve Head Parameters Measured with CirrusTM HD-OCT in Glaucomatous Eyes Reproducibility of peripapillary retinal nerve fiber layer thickness with spectral domain cirrus high definition optical coherence tomography in normal eyes Retinal Nerve Fiber Layer Imaging with Spectral-Domain Optical Coherence Tomography:A Variability and Diagnostic Performance Study Comparison of Retinal Nerve Fiber Layer Measurements Using Time Domain and Spectral Domain Optical Coherent Tomography Retinal Nerve Fiber Layer Imaging with Spectral-Domain Optical Coherence Tomograph:A Variability and Diagnostic Performance Study Agreement between spectral-domain and time-domain OCT for measuring RNFL thickness Reproducibility of peripapillary retinal nerve fiber layer thickness with spectral domain cirrus high-definition optical coherence tomography in normal eyes. Comparison of retinal nerve fiber layer thickness measured by Cirrus HD and Stratus optical coherence tomography. 现在可供- OCT数据和眼底图像查看包！ 刚刚发布的CIRRUS HD-OCT软件7.0版可以在检查室进行强大的CIRRUS?分析。 方便的诊断 通过将临床显示到方便的位置，有利于患者教育 允许多个审阅站的数据访问 综合分析 OCT + 眼底图像一览 使用蔡司FORUM® 眼科专业化数据管理系统提高临床分析选项 FORUM 记录 & 通过本地和远程提供所有患者检查的访问，查看器眼科专业化数据管理系统无缝连接到临床实践中。它有利于评估具体病例的临床应用。 例如，新的FORUM青光眼数据平台可以自动从HFA™ II - i准备相关信息。使用FORUM，来自HFA和CIRRUS HD - OCT的数据会显示在一份综合报告中。 了解更多** 神经节细胞分析 OCT + 眼底图像一览
|
