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用于MRI引导介入中跟踪的多个射频标记的快速准确定位。

Fast and accurate localization of multiple RF markers for tracking in MRI-guided interventions.

作者信息

Galassi Francesca, Brujic Djordje, Rea Marc, Lambert Nicholas, Desouza Nandita, Ristic Mihailo

机构信息

Mechanical Engineering Department, Imperial College London, London, UK,

出版信息

MAGMA. 2015 Feb;28(1):33-48. doi: 10.1007/s10334-014-0446-3. Epub 2014 May 7.

Abstract

OBJECT

A new method for 3D localization of N fiducial markers from 1D projections is presented and analysed. It applies to semi-active markers and active markers using a single receiver channel.

MATERIALS AND METHODS

The novel algorithm computes candidate points using peaks in three optimally selected projections and removes fictitious points by verifying detected peaks in additional projections. Computational complexity was significantly reduced by avoiding cluster analysis, while higher accuracy was achieved by using optimal projections and by applying Gaussian interpolation in peak detection. Computational time, accuracy and robustness were analysed through Monte Carlo simulations and experiments. The method was employed in a prototype MRI guided prostate biopsy system and used in preclinical experiments.

RESULTS

The computational time for 6 markers was better than 2 ms, an improvement of up to 100 times, compared to the method by Flask et al. (J Magn Reson Imaging 14(5):617-627, 2001). Experimental maximum localization error was lower than 0.3 mm; standard deviation was 0.06 mm. Targeting error was about 1 mm. Tracking update rate was about 10 Hz.

CONCLUSION

The proposed method is particularly suitable in systems requiring any of the following: high frame rate, tracking of three or more markers, data filtering or interleaving.

摘要

目的

提出并分析一种从一维投影中对N个基准标记进行三维定位的新方法。它适用于使用单个接收器通道的半主动标记和主动标记。

材料与方法

该新颖算法利用三个最优选择投影中的峰值计算候选点,并通过在其他投影中验证检测到的峰值来去除虚拟点。通过避免聚类分析显著降低了计算复杂度,同时通过使用最优投影和在峰值检测中应用高斯插值实现了更高的精度。通过蒙特卡罗模拟和实验分析了计算时间、精度和鲁棒性。该方法应用于一个原型MRI引导前列腺活检系统,并用于临床前实验。

结果

与Flask等人(《磁共振成像杂志》14(5):617 - 627, 2001)的方法相比,6个标记的计算时间优于2毫秒,提高了多达100倍。实验最大定位误差低于0.3毫米;标准差为0.06毫米。靶向误差约为1毫米。跟踪更新率约为10赫兹。

结论

所提出的方法特别适用于需要以下任何一种情况的系统:高帧率、跟踪三个或更多标记、数据过滤或交织。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cab/4315881/f1a000b78f7b/10334_2014_446_Fig1_HTML.jpg

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