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Effects of video digitization of ultrasound images in predicting pubic arch interference for prostate brachytherapy

机译:超声图像的视频数字化在预测前列腺短距离治疗耻骨弓干扰中的作用

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Abstract: Prostate brachytherapy is an effective treatment for localized prostate cancer. It has been recently shown that prior to surgery a transrectal ultrasound (TRUS) study of the prostate and pubic arch can effectively assess pubic arch interference (PAI), a major stumbling block for the brachytherapy procedure. This study involved the use of digital images acquired directly from an ultrasound (US) machine. However, not all US machines allow the saving or transfer of digital image data. To allow PAI assessment regardless of US platform, we need to digitize the images from the US video output when there is no direct digital saving/transfer capability. During video digitization, the internal digital images go through a D/A and A/D conversion process, introducing quantization errors and other noises. To show that PAI assessment is still viable on the digitized images, we evaluated and refined a PAI assessment algorithm to predict the location of the pubic arch on both digital images and those captured after digitization. These predicted arch locations were statistically compared to each other. Based on the results from 33 patients, we conclude that the ability to assess PAI from TRUS images is not affected by video digitization. !16
机译:摘要:前列腺近距离放射疗法是一种治疗局部前列腺癌的有效方法。最近显示,在手术前对前列腺和耻骨弓进行直肠超声(TRUS)研究可以有效评估耻骨弓干扰(PAI),这是近距离放射治疗程序的主要绊脚石。这项研究涉及使用直接从超声(US)机器获取的数字图像。但是,并非所有美国机器都允许保存或传输数字图像数据。为了能够在不考虑美国平台的情况下进行PAI评估,我们需要在没有直接数字保存/传输功能的情况下将来自美国视频输出的图像数字化。在视频数字化期间,内部数字图像会经过D / A和A / D转换过程,从而引入量化误差和其他噪声。为了显示PAI评估在数字化图像上仍然可行,我们评估并改进了PAI评估算法,以预测数字图像和数字化后捕获的耻骨弓的位置。将这些预测的足弓位置进行统计学比较。根据33位患者的结果,我们得出结论,从TRUS图像评估PAI的能力不受视频数字化的影响。 !16

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