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Patient-specific deformation modelling via elastography : application to image-guided prostate interventions

机译:通过弹性成像的患者特定变形建模:在图像引导的前列腺干预中的应用

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摘要

Image-guided prostate interventions often require the registration of preoperative magnetic resonance (MR) images to real-Time transrectal ultrasound (TRUS) images to provide high-quality guidance. One of the main challenges for registering MR images to TRUS images is how to estimate the TRUS-probe-induced prostate deformation that occurs during TRUS imaging. The combined statistical and biomechanical modeling approach shows promise for the adequate estimation of prostate deformation. However, the right setting of the biomechanical parameters is very crucial for realistic deformation modeling. We propose a patient-specific deformation model equipped with personalized biomechanical parameters obtained from shear wave elastography to reliably predict the prostate deformation during image-guided interventions. Using data acquired from a prostate phantom and twelve patients with suspected prostate cancer, we compared the prostate deformation model with and without patient-specific biomechanical parameters in terms of deformation estimation accuracy. The results show that the patient-specific deformation model possesses favorable model ability, and outperforms the model without patient-specific biomechanical parameters. The employment of the patient-specific biomechanical parameters obtained from elastography for deformation modeling shows promise for providing more precise deformation estimation in applications that use computer-Assisted image-guided intervention systems.
机译:图像引导的前列腺干预通常需要将术前磁共振(MR)图像配准到实时经直肠超声(TRUS)图像,以提供高质量的指导。将MR图像配准到TRUS图像的主要挑战之一是如何估计在TRUS成像期间发生的TRUS探针引起的前列腺变形。统计和生物力学建模方法相结合,显示出对前列腺变形进行充分估计的希望。但是,正确设置生物力学参数对于实际的变形建模至关重要。我们提出了一种患者特定的变形模型,该模型配备了从剪切波弹性成像获得的个性化生物力学参数,可以在图像引导的干预过程中可靠地预测前列腺的变形。使用从前列腺体模和十二名疑似前列腺癌患者中获得的数据,我们在变形估计准确性方面比较了有和没有患者特定生物力学参数的前列腺变形模型。结果表明,患者特定的变形模型具有良好的建模能力,并且优于没有患者特定的生物力学参数的模型。从弹性成像获得的特定于患者的生物力学参数用于变形建模显示出有望在使用计算机辅助图像引导干预系统的应用中提供更精确的变形估计。

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