Breast surface reconstruction utilising autonomous robotic assisted ultrasound image acquisition

A. G. de Groot, V. Groenhuis, S. Stramigioli, F. Siepel
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Abstract

One in eight females will be diagnosed with breast cancer in their lifetime, making it the most diagnosed cancer globally [1]. Three phases are essential for the outcome of breast cancer; early detection, accurate diag- nosis and treatment. Magnetic resonance imaging (MRI) has proven to be highly sensitive in detecting possible tu- mors lesions compared to other image modalities. How- ever, ultrasound (US) guided biopsies are the standard and biopsies on MRI detected lesions is challenging, because these lesions may not be visible on US images. Registration of pre-operative MRI with the intra- operative US combines the benefits of both imaging modalities and subsequently improve tumor localisation. Therefore, this work presents an US image-based sur- face reconstruction based on autonomous acquired US images to increase the accuracy of MRI/US registration. Thereby the proposed work eliminates the need for inter- sensor calibration as would be needed if stereo camera- based, depth camera-based or marker-based breast sur- face reconstruction would be used.
乳房表面重建利用自主机器人辅助超声图像采集
每8名女性中就有1人在其一生中被诊断患有乳腺癌,使其成为全球诊断率最高的癌症[1]。三个阶段对乳腺癌的预后至关重要;早期发现,准确诊断和治疗。与其他成像方式相比,磁共振成像(MRI)在检测可能的肿瘤病变方面具有很高的灵敏度。然而,超声引导下的活组织检查是标准的,对MRI检测到的病变进行活组织检查是具有挑战性的,因为这些病变可能在超声图像上不可见。术前MRI与术中超声结合了两种成像方式的优点,随后改善了肿瘤定位。因此,本文提出了一种基于自主获取的US图像的基于US图像的表面重建方法,以提高MRI/US配准的准确性。因此,所提出的工作消除了使用基于立体摄像机、基于深度摄像机或基于标记的乳房表面重建所需的传感器间校准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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