Guimarães Pedro, Morgado Miguel, Batista Ana
Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal.
Department of Physics, Faculty of Science and Technology, University of Coimbra, Coimbra, Portugal.
Biomed Opt Express. 2024 Mar 29;15(4):2666-2680. doi: 10.1364/BOE.516817. eCollection 2024 Apr 1.
Second harmonic generation (SHG) allows for the examination of collagen structure in collagenous tissues. Collagen is a fibrous protein found in abundance in the human body, present in bones, cartilage, the skin, and the cornea, among other areas, providing structure, support, and strength. Its structural arrangement is deeply intertwined with its function. For instance, in the cornea, alterations in collagen organization can result in severe visual impairments. Using SHG imaging, various metrics have demonstrated the potential to study collagen organization. The discrimination between healthy, keratoconus, and crosslinked corneas, assessment of injured tendons, or the characterization of breast and ovarian tumorous tissue have been demonstrated. Nevertheless, these metrics have not yet been objectively evaluated or compared. A total of five metrics were identified and implemented from the literature, and an additional approach adapted from texture analysis was proposed. In this study, we analyzed their effectiveness on a ground-truth set of artificially generated fibrous images. Our investigation provides the first comprehensive assessment of the performance of multiple metrics, identifying both the strengths and weaknesses of each approach and providing valuable insights for future applications of SHG imaging in medical diagnostics and research.
二次谐波产生(SHG)可用于检查胶原组织中的胶原蛋白结构。胶原蛋白是一种在人体中大量存在的纤维蛋白,存在于骨骼、软骨、皮肤和角膜等部位,提供结构、支撑和强度。其结构排列与其功能紧密相连。例如,在角膜中,胶原蛋白组织的改变会导致严重的视力障碍。利用SHG成像,各种指标已显示出研究胶原蛋白组织的潜力。已证明可区分健康角膜、圆锥角膜和交联角膜,评估受伤肌腱,或表征乳腺和卵巢肿瘤组织。然而,这些指标尚未得到客观评估或比较。从文献中总共确定并实施了五个指标,并提出了一种从纹理分析改编而来的额外方法。在本研究中,我们在一组人工生成的纤维图像真值集上分析了它们的有效性。我们的研究首次对多个指标的性能进行了全面评估,确定了每种方法的优缺点,并为SHG成像在医学诊断和研究中的未来应用提供了有价值的见解。