Quantitative evaluation of comb-structure correction methods for multispectral fibrescopic imaging
Quantitative evaluation of comb-structure correction methods for multispectral fibrescopic imaging
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DOI：
10.1038/s41598-018-36088-7
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发表时间：
2018-12-12
影响因子：
4.6
通讯作者：
Bohndiek, Sarah E.
中科院分区：
文献类型：
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作者：
Waterhouse, Dale J.;Luthman, A. Siri;Bohndiek, Sarah E.
去除由成像纤维束或“内窥镜”（例如在医疗内窥镜中）引入的梳状伪影对于向观察者提供高质量图像至关重要。多光谱成像（MSI）是一种新兴的方法，结合形态（空间）和化学（光谱）信息在一个单一的数据“立方体”。当一个反射镜耦合到一个光谱分辨探测器阵列（SRDA）执行MSI，梳状去除是复杂的去马赛克步骤所需的重建多光谱数据立方体。为了了解使用SRDA作为医学内窥镜中的多光谱成像传感器的潜力，我们评估了五种梳状校正方法，涉及与生物医学成像应用相关的五个性能指标：处理时间，分辨率，平滑度，信号和光谱重建的准确性。通过为每个度量分配权重（由特定成像应用确定），我们的结果可用于选择校正方法，以实现最佳整体性能。在大多数情况下，插值在使用SRDA成像时提供了不同性能指标之间的最佳折衷。
Removing the comb artifact introduced by imaging fibre bundles, or 'fibrescopes', for example in medical endoscopy, is essential to provide high quality images to the observer. Multispectral imaging (MSI) is an emerging method that combines morphological (spatial) and chemical (spectral) information in a single data 'cube'. When a fibrescope is coupled to a spectrally resolved detector array (SRDA) to perform MSI, comb removal is complicated by the demosaicking step required to reconstruct the multispectral data cube. To understand the potential for using SRDAs as multispectral imaging sensors in medical endoscopy, we assessed five comb correction methods with respect to five performance metrics relevant to biomedical imaging applications: processing time, resolution, smoothness, signal and the accuracy of spectral reconstruction. By assigning weights to each metric, which are determined by the particular imaging application, our results can be used to select the correction method to achieve best overall performance. In most cases, interpolation gave the best compromise between the different performance metrics when imaging using an SRDA.