用活动针估计针插入任务中的组织运动

Blayton Padasdao, Zolboo Batsaikhan, Dailen C. Brown, J. Moore, B. Konh
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引用次数: 2

摘要

在许多诊断或治疗过程中,如前列腺活检或近距离治疗,针头插入已被用作一种微创技术。虽然这些手术的成功依赖于针尖在目标位置的准确定位,但术中组织(以及目标)的运动给医生在获取目标时带来了一些困难。本文提出了一种方法来估计组织内针插入任务期间的组织运动。组织的运动是有价值的信息,用于指导、导航和控制组织内的针朝向目标。使用主动弯曲针来执行针插入任务。在入针初期、弯曲、不弯曲和收针四个阶段采集超声图像。然后分析超声图像以估计每个阶段的组织运动。研究表明,针的回缩、插入、弯曲和不弯曲阶段分别对应最大和最低的组织运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Tissue Movement in Needle Insertion Tasks Using an Active Needle
Needle insertion has been used as a minimally invasive technique in many diagnostic or therapeutic procedures such as prostate biopsy or brachytherapy. While the success of these procedures relies on accurate positioning of the needle tip at target positions, the intraoperative movement of the tissue (and consequently the target) has caused physicians some difficulties in acquiring the target. This paper presents a method to estimate tissue movement during a needle insertion task within tissue. The movement of the tissue is valuable information for guidance, navigation, and control of the needle inside tissue towards the target. A needle insertion task was performed using an active needle bending. Ultrasound images were captured at four needle insertion stages of initial needle insertion, bending, unbending, and needle retraction. Ultrasound images were then analyzed to estimate the tissue movement at each stage. The study showed that needle retraction, insertion, bending, and unbending stages correspond to largest to lowest tissue movement, respectively.
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