Noninvasive depth-resolved material characterisation using OCT and spectral imaging (Conference Presentation)

Patrick S. Atkinson, C. Cheung, Haida Liang, C. Higgitt, M. Spring
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Abstract

Typically, varnish coatings were applied to Old Master paintings to improve their visual appearance, saturating the colours. However, over time, varnishes deteriorate and discolour, obscuring or altering the appearance of the artwork, necessitating their removal (usually through the use of a solvent) and replacement. Varnish removal presents a degree of risk to the paint surface and may result in loss of original materials or other damage. Thus, diagnostic methods that can support conservators during varnish removal are very valuable. Optical Coherence Tomography (OCT), a white light interferometry technique based on the Michelson interferometer, has been proposed as an ideal tool for monitoring the cleaning and treatment of artworks and historical objects. This is owing to its ability to provide non-invasive and accurate measurements across the entire surface of an artwork of the stratigraphy of transparent and turbid multi-layered structures. In many cases, however, difficulties may arise when attempting to distinguish degraded glaze layers on paintings (coloured, translucent layers containing pigments with refractive indices very close to the binding medium) from layers of aged varnish due to similarities in their appearance and scattering properties in OCT scans. In order to mitigate the possibility of damage through the accidental removal of glaze layers, we propose a simple and entirely non-invasive technique to identify the spectral features of a semi-transparent layer using a combination of OCT and spectral imaging in the visible range. Building on preliminary studies 1,2, the technique utilises an algorithm to automatically obtain the thickness distribution of the surface layers from the OCT volume of a region with relatively uniform pigmentation and colour. This information is then coupled with the spectral data from the same region to derive the spectral characteristics of each translucent surface layer. Such characteristics may then be used to the discriminate between aged varnishes and glaze layers. The potential of this approach has been demonstrated on mock-up samples and paintings from the National Gallery in London. [1] Lange, R., Liang, H., Howard, H. and Spooner, J., “Optical coherence tomography and spectral imaging of a wall painting,” SPIE Newsroom (2011). [2] Liang, H., Lange, R., Howard, H. and Spooner, J., “Non-invasive investigations of a wall painting using optical coherence tomography and hyperspectral imaging,” Proc. SPIE 8084, 80840F (2011).
利用OCT和光谱成像进行无创深度分辨材料表征(会议报告)
通常,清漆涂层被涂在绘画大师的作品上,以改善他们的视觉外观,使色彩饱和。然而,随着时间的推移,清漆会变质和变色,模糊或改变艺术品的外观,需要将其去除(通常通过使用溶剂)和更换。去除清漆会给油漆表面带来一定程度的风险,并可能导致原始材料的丢失或其他损坏。因此,能够在清漆去除过程中支持修复人员的诊断方法是非常有价值的。光学相干层析成像(OCT)是一种基于迈克尔逊干涉仪的白光干涉测量技术,已被提出作为一种理想的工具来监测艺术品和历史文物的清洁和处理。这是由于它能够在透明和浑浊多层结构的地层学艺术作品的整个表面上提供非侵入性和精确的测量。然而,在许多情况下,由于外观和OCT扫描中的散射特性相似,当试图区分绘画上退化的釉层(有色的半透明层,含有折射率非常接近结合介质的颜料)和老化的清漆层时,可能会出现困难。为了减少釉层意外脱落造成损伤的可能性,我们提出了一种简单且完全非侵入性的技术,利用OCT和可见光范围内的光谱成像相结合来识别半透明层的光谱特征。在初步研究1,2的基础上,该技术利用一种算法,从色素沉着和颜色相对均匀的区域的OCT体积中自动获得表层的厚度分布。然后将该信息与同一区域的光谱数据相结合,得出每个半透明面层的光谱特征。这样的特性可以用来区分老化的清漆和釉层。这种方法的潜力已经在伦敦国家美术馆的模型样品和绘画中得到了证明。[1]Lange, R., Liang, H., Howard, H.和Spooner, J.,“一幅壁画的光学相干断层扫描和光谱成像”,SPIE新闻编辑室(2011).[2]Liang, H., Lange, R., Howard, H.和Spooner, J.,“利用光学相干断层扫描和高光谱成像技术对一幅壁画进行非侵入性研究”,《科学与工程学报》,8084,80840F(2011)。
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