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Optimization of real-time rigid registration motion compensation for prostate biopsies using 2D/3D ultrasound

机译:使用2D / 3D超声检查前列腺活组织检查实时刚性登记运动补偿优化

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摘要

During image-guided prostate biopsy, needles are targeted at suspicious tissues to obtain specimens that are later examined histologically for cancer. Patient motion causes inaccuracies when using MR-transrectal ultrasound (TRUS) image fusion approaches used to augment the conventional biopsy procedure. Motion compensation using a single, user initiated correction can be performed to temporarily compensate for prostate motion, but a real-time continuous registration offers an improvement to clinical workflow by reducing user interaction and procedure time. An automatic motion compensation method, approaching the frame rate of a TRUS-guided system, has been developed for use during fusion-based prostate biopsy to improve image guidance. 2D and 3D TRUS images of a prostate phantom were registered using an intensity-based algorithm utilizing normalized cross-correlation and Powell's method for optimization with user initiated and continuous registration techniques. The user initiated correction performed with observed computation times of 78 ± 35 ms, 74 ± 28 ms, and 113 ± 49 ms for in-plane, out-of-plane, and roll motions, respectively, corresponding to errors of 0.5 ± 0.5 mm, 1.5 ± 1.4mm, and 1.5± 1.6°. The continuous correction performed significantly faster (p < 0.05) than the user initiated method, with observed computation times of 31 ± 4 ms, 32 ± 4 ms, and 31 ± 6 ms for in-plane, out-of-plane, and roll motions, respectively, corresponding to errors of 0.2 ± 0.2 mm, 0.6 ± 0.5 mm, and 0.8 ± 0.4°.
机译:在图像引导的前列腺活组织检查期间,针刺针对可疑组织靶向,以获得后来在组织学上检查的标本进行癌症。使用MR-Trancrapher超声(TRU)图像融合方法使用用于增强常规活检程序时的患者运动会导致不准确的差距。可以执行使用单个的运动补偿,用户发起的校正可以临时补偿前列腺运动,但是通过减少用户交互和过程时间来提供对临床工作流程的改进。在基于融合的前列腺活组织检查期间,已经开发了一种自动运动补偿方法,用于改善融合的前列腺活检以改善图像引导。使用基于强度的跨相关性和Powell的方法,使用基于强度的互相关和Powel的方法进行了前列化算法,使用用户发起和连续注册技术进行优化的方法,登记了前列腺幻影的2D和3D Trus图像。用户启动的校正,观察到的78±35 ms,74±28 ms和113±49 ms,分别对应于平面外,平面外和滚动运动,对应于0.5±0.5mm的误差,1.5±1.4mm,1.5±1.6°。连续校正比用户发起的方法显着更快(P <0.05),观察到的计算时间为31±4 ms,32±4 ms,31±6 ms,用于面内,平面外和滚动分别对应于0.2±0.2mm,0.6±0.5mm,0.8±0.4°的误差。

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