Cassar Quentin, Al-Ibadi Amel, Mavarani Laven, Hillger Philipp, Grzyb Janusz, MacGrogan Gaëtan, Zimmer Thomas, Pfeiffer Ullrich R, Guillet Jean-Paul, Mounaix Patrick
Integration: from Material to Systems Laboratory, UMR CNRS 5218, University of Bordeaux, 33400 Talence, France.
Institute for High-Frequency and Communication Technology, University of Wuppertal, 42119 Wuppertal, Germany.
Biomed Opt Express. 2018 Jun 6;9(7):2930-2942. doi: 10.1364/BOE.9.002930. eCollection 2018 Jul 1.
The failure to accurately define tumor margins during breast conserving surgery (BCS) results in a 20% re-excision rate. The present paper reports the investigation to evaluate the potential of terahertz imaging for breast tissue recognition within the under-explored 300 - 600 GHz range. Such a frequency window matches new BiCMOS technology capabilities and thus opens up the opportunity for near-field terahertz imaging using these devices. To assess the efficacy of this frequency band, data from 16 freshly excised breast tissue samples were collected and analyzed directly after excision. Complex refractive indices have been extracted over the as-mentioned frequency band, and amplitude frequency images show some contrast between tissue types. Principal component analysis (PCA) has also been applied to the data in an attempt to automate tissue classification. Our observations suggest that the dielectric response could potentially provide contrast for breast tissue recognition within the 300 - 600 GHz range. These results open the way for silicon-based terahertz subwavelength near field imager design, efficient up to 600 GHz to address ex vivo life-science applications.
在保乳手术（BCS）过程中未能准确界定肿瘤边缘会导致20%的再次切除率。本文报道了一项研究，旨在评估太赫兹成像在300 - 600千兆赫这一未充分探索的频段内对乳腺组织识别的潜力。这样一个频率窗口与新型双极互补金属氧化物半导体（BiCMOS）技术能力相匹配，从而为使用这些器件进行近场太赫兹成像创造了机会。为评估该频段的功效，在16个新鲜切除的乳腺组织样本切除后立即收集并分析数据。已在上述频段提取了复折射率，幅度频率图像显示出不同组织类型之间存在一些对比度。主成分分析（PCA）也已应用于这些数据，试图实现组织分类的自动化。我们的观察结果表明，介电响应可能为300 - 600千兆赫范围内的乳腺组织识别提供对比度。这些结果为基于硅的太赫兹亚波长近场成像仪设计开辟了道路，该成像仪在高达600千兆赫的频率下高效运行，可用于离体生命科学应用。
