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MRI 引导经直肠机器人前列腺活检中的目标运动跟踪。

Target motion tracking in MRI-guided transrectal robotic prostate biopsy.

机构信息

Department of Electrical and Computer Engineering,Queen's University, Kingston, ON, Canada.

出版信息

IEEE Trans Biomed Eng. 2011 Nov;58(11):3135-42. doi: 10.1109/TBME.2011.2163633. Epub 2011 Aug 4.

Abstract

PURPOSE

MRI-guided prostate needle biopsy requires compensation for organ motion between target planning and needle placement. Two questions are studied and answered in this paper: 1) is rigid registration sufficient in tracking the targets with an error smaller than the clinically significant size of prostate cancer and 2) what is the effect of the number of intraoperative slices on registration accuracy and speed?

METHODS

we propose multislice-to-volume registration algorithms for tracking the biopsy targets within the prostate. Three orthogonal plus additional transverse intraoperative slices are acquired in the approximate center of the prostate and registered with a high-resolution target planning volume. Both rigid and deformable scenarios were implemented. Both simulated and clinical MRI-guided robotic prostate biopsy data were used to assess tracking accuracy.

RESULTS

average registration errors in clinical patient data were 2.6 mm for the rigid algorithm and 2.1 mm for the deformable algorithm.

CONCLUSION

rigid tracking appears to be promising. Three tracking slices yield significantly high registration speed with an affordable error.

摘要

目的

磁共振引导下前列腺针吸活检需要在目标规划和针放置之间补偿器官运动。本文研究并回答了两个问题:1)在跟踪目标时,刚性配准是否足以将误差控制在前列腺癌具有临床意义的大小以内,2)术中切片的数量对配准精度和速度有什么影响?

方法

我们提出了用于在前列腺内跟踪活检目标的多层面到体积配准算法。在前列腺的大致中心采集三个正交加额外的横向术中切片,并与高分辨率目标规划体积配准。实现了刚性和变形两种情况。使用模拟和临床磁共振引导机器人前列腺活检数据来评估跟踪准确性。

结果

临床患者数据中平均注册误差为刚性算法 2.6 毫米,变形算法 2.1 毫米。

结论

刚性跟踪似乎很有前途。三个跟踪切片以可承受的误差实现了非常高的注册速度。

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