首页> 外文会议>Conference on ultrasonic imaging and signal processing >Multi-modality Fusion of CT, 3D Ultrasound, and Tracked Strain Images for Breast Irradiation Planning
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Multi-modality Fusion of CT, 3D Ultrasound, and Tracked Strain Images for Breast Irradiation Planning

机译:CT,3D超声和跟踪的应变图像的多模态融合,用于乳腺照射计划

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Breast irradiation significantly reduces the risk of recurrence of cancer. There is growing evidence suggesting that irradiation of only the involved area of the breast, partial breast irradiation (PBI), is as effective as whole breast irradiation. Benefits of PBI include shortened treatment time, and perhaps fewer side effects as less tissue is treated. However, these benefits cannot be realized without precise and accurate localization of the lumpectomy cavity. Several studies have shown that accurate delineation of the cavity in CT scans is very challenging and the delineated volumes differ dramatically over time and among users.In this paper, we propose utilizing 3D ultrasound (3D-US) and tracked strain images as complementary modalities to reduce uncertainties associated with current CT planning workflow. We present the early version of an integrated system that fuses 3D-US and real-time strain images. For the first time, we employ tracking information to reduce the noise in calculation of strain image by choosing the properly compressed frames and to position the strain image within the ultrasound volume. Using this system, we provide the tools to retrieve additional information from 3D-US and strain image alongside the CT scan. We have preliminarily evaluated our proposed system in a step-by-step fashion using a breast phantom and clinical experiments.
机译:乳房照射显着降低了癌症复发的风险。越来越多的证据表明,仅乳房的受累区域(部分乳房照射(PBI))的照射与整个乳房的照射一样有效。 PBI的好处包括缩短治疗时间,并且随着治疗更少的组织,副作用可能更少。但是,如果没有对肿块切除术腔的精确和准确定位,就无法实现这些好处。多项研究表明,在CT扫描中准确描绘腔体非常具有挑战性,并且所描绘的体积会随着时间和用户之间的差异而显着不同。 在本文中,我们建议利用3D超声(3D-US)和跟踪的应变图像作为补充模态,以减少与当前CT计划工作流程相关的不确定性。我们提出了融合3D-US和实时应变图像的集成系统的早期版本。我们首次采用跟踪信息,通过选择适当压缩的帧来减少应变图像计算中的噪声,并将应变图像放置在超声体积内。使用该系统,我们提供了从3D-US检索附加信息并在CT扫描的同时应变图像的工具。我们已经使用乳腺模型和临床实验逐步评估了我们提出的系统。

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