Image computing for fibre-bundle endomicroscopy: A review.
Image computing for fibre-bundle endomicroscopy: A review.
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DOI：
10.1016/j.media.2019.101620
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发表时间：
2020-05
影响因子：
10.9
通讯作者：
Vercauteren T
中科院分区：
文献类型：
--
作者：
Perperidis A;Dhaliwal K;McLaughlin S;Vercauteren T
显微内镜是一种新兴的成像方式，有助于采集体内原位光学活检，辅助诊断和潜在的治疗干预。虽然有各种各样且不断扩大的商业和实验光学活检平台，但纤维束显微内镜是目前使用最广泛的平台，并已被批准用于一系列临床适应症的临床使用。通过内窥镜、针头和导管的工作通道引导的小型化柔性纤维束能够在各种器官系统中实现高分辨率成像。然而，通过纤维束的图像采集的性质产生了几个固有的特性和限制，需要新颖和有效的图像预处理和后处理算法，从图像形成，增强和镶嵌到病理检测和量化。本文介绍了纤维束显微内镜的基本技术和最流行的临床应用，并提供了一个全面的，最新的，相关的图像重建，分析和理解/推理方法的审查。此外，目前的局限性，以及未来的挑战和机遇，在纤维束显微内镜计算进行了识别和讨论。
Endomicroscopy is an emerging imaging modality, that facilitates the acquisition of in vivo, in situ optical biopsies, assisting diagnostic and potentially therapeutic interventions. While there is a diverse and constantly expanding range of commercial and experimental optical biopsy platforms available, fibre-bundle endomicroscopy is currently the most widely used platform and is approved for clinical use in a range of clinical indications. Miniaturised, flexible fibre-bundles, guided through the working channel of endoscopes, needles and catheters, enable high-resolution imaging across a variety of organ systems. Yet, the nature of image acquisition though a fibre-bundle gives rise to several inherent characteristics and limitations necessitating novel and effective image pre- and post-processing algorithms, ranging from image formation, enhancement and mosaicing to pathology detection and quantification. This paper introduces the underlying technology and most prevalent clinical applications of fibre-bundle endomicroscopy, and provides a comprehensive, up-to-date, review of relevant image reconstruction, analysis and understanding/inference methodologies. Furthermore, current limitations as well as future challenges and opportunities in fibre-bundle endomicroscopy computing are identified and discussed.
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影响因子：
1.1
作者：
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影响因子：
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