PDF(Pubmed)
Abstract：
Estimating the tissue parameters of skin tumors is crucial for diagnosis and effective therapy in dermatology and related fields. However, identifying the most sensitive biomarkers require an optimal rheological model for simulating skin behavior this remains an ongoing research endeavor. Additionally, the multi-layered structure of the skin introduces further complexity to this task. In order to surmount these challenges, an inverse problem methodology, in conjunction with signal analysis techniques, is being employed. In this study, a fractional rheological model is presented to enhance the precision of skin tissue parameter estimation from the acquired signal from torsional wave elastography technique (TWE) on skin tumor-mimicking phantoms for lab validation and the estimation of the thickness of the cancerous layer. An exhaustive analysis of the spring-pot model (SP) solved by the finite difference time domain (FDTD) is conducted. The results of experiments performed using a TWE probe designed and prototyped in the laboratory were validated against ultrafast imaging carried out by the Verasonics Research System. Twelve tissue-mimicking phantoms, which precisely simulated the characteristics of skin tissue, were prepared for our experimental setting. The experimental data from these bi-layer phantoms were measured using a TWE probe, and the parameters of the skin tissue were estimated using inverse problem-solving. The agreement between the two datasets was evaluated by comparing the experimental data obtained from the TWE technique with simulated data from the SP- FDTD model using Pearson correlation, dynamic time warping (DTW), and time-frequency representation. Our findings show that the SP-FDTD model and TWE are capable of determining the mechanical properties of both layers in a bilayer phantom, using a single signal and an inverse problem approach. The ultrafast imaging and the validation of TWE results further demonstrate the robustness and reliability of our technology for a realistic range of phantoms. This fusion of the SP-FDTD model and TWE, as well as inverse problem-solving methods has the potential to have a considerable impact on diagnoses and treatments in dermatology and related fields.
摘要：
评估皮肤肿瘤的组织参数对于皮肤科及相关领域的诊断和有效治疗至关重要。然而,识别最敏感的生物标志物需要一个最佳的流变模型来模拟皮肤行为，这仍然是一个正在进行的研究努力。此外,皮肤的多层结构增加了这项任务的复杂性。为了克服这些挑战，反问题方法论，结合信号分析技术，正在被雇用。在这项研究中,提出了一种分数流变模型，以提高从扭转波弹性成像技术（TWE）获取的信号对皮肤肿瘤模拟体模的皮肤组织参数估计的精度，用于实验室验证和癌层厚度的估计。对通过有限差分时域（FDTD）求解的弹簧锅模型（SP）进行了详尽分析。使用在实验室中设计和原型的TWE探针进行的实验结果针对Verasonics研究系统进行的超快成像进行了验证。十二个模仿组织的幻影，精确模拟皮肤组织的特征，为我们的实验环境做好了准备。这些双层体模的实验数据是使用TWE探针测量的，并且使用反问题求解来估计皮肤组织的参数。通过将从TWE技术获得的实验数据与使用Pearson相关性的SP-FDTD模型的模拟数据进行比较，来评估两个数据集之间的一致性。动态时间扭曲(DTW)，和时频表示。我们的发现表明，SP-FDTD模型和TWE能够确定双层体模中两层的机械性能，使用单个信号和逆问题方法。超快成像和TWE结果的验证进一步证明了我们的技术对于现实范围的幻影的鲁棒性和可靠性。这种SP-FDTD模型和TWE的融合，以及反问题解决方法有可能对皮肤科和相关领域的诊断和治疗产生相当大的影响。
