Automatic iceball segmentation with adapted shape priors for MRI-guided cryoablation.

Automatic iceball segmentation with adapted shape priors for MRI-guided cryoablation.
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具有适用于 MRI 引导冷冻消融的适应形状先验的自动冰球分割。

DOI:
10.1002/jmri.24531
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发表时间:
2015-02
影响因子:
4.4
通讯作者:
Zientara, Gary P.
Zientara, Gary P.
中科院分区:
医学2区
文献类型:
--
作者:
Liu, Xinyang;Tuncali, Kemal;Wells, William M.;Zientara, Gary P.

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开发并评价一种自动分割方法,该方法可从MRI引导冷冻消融术冷冻阶段采集的图像中提取消融区(冰球)的3D配置。回顾性检查了13例肾肿瘤冷冻消融术的63个时间点的术中图像。使用3特斯拉宽孔MRI扫描仪和轴向HASTE序列获得图像。初始化与半自动本地化冷冻探针,冰球自动分割在每个时间点使用图形切割(GC)技术与适应的形状先验。与手动分割相比,平均Dice相似系数(DSC)在3、6、9、12和15 min时间点分别为0.88、0.92、0.92、0.93和0.93,总共63个分割的平均DSC为0.92 ± 0.03。该方法与不采用形状先验自适应的方法相比,显著提高了准确性(P = 0.026)。使用我们的技术,在程序中涉及的探针的数量对分割结果没有明显的影响。平均计算时间为20 s,与术中设置兼容。我们的自动冰球分割方法在监测MRI引导下冷冻消融的进展方面具有很高的准确性和鲁棒性。
To develop and evaluate an automatic segmentation method that extracts the 3D configuration of the ablation zone, the iceball, from images acquired during the freezing phase of MRI-guided cryoablation. Intraprocedural images at 63 timepoints from 13 kidney tumor cryoablation procedures were examined retrospectively. The images were obtained using a 3 Tesla wide-bore MRI scanner and axial HASTE sequence. Initialized with semiautomatically localized cryoprobes, the iceball was segmented automatically at each timepoint using the graph cut (GC) technique with adapted shape priors. The average Dice Similarity Coefficients (DSC), compared with manual segmentations, were 0.88, 0.92, 0.92, 0.93, and 0.93 at 3, 6, 9, 12, and 15 min time-points, respectively, and the average DSC of the total 63 segmentations was 0.92 ± 0.03. The proposed method improved the accuracy significantly compared with the approach without shape prior adaptation (P = 0.026). The number of probes involved in the procedure had no apparent influence on the segmentation results using our technique. The average computation time was 20 s, which was compatible with an intraprocedural setting. Our automatic iceball segmentation method demonstrated high accuracy and robustness for practical use in monitoring the progress of MRI-guided cryoablation.
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