Joint deformable liver registration and bias field correction for MR-guided HDR brachytherapy
Joint deformable liver registration and bias field correction for MR-guided HDR brachytherapy
复制标题
MR 引导 HDR 近距离放射治疗的联合可变形肝脏配准和偏置场校正
DOI：
10.1007/s11548-017-1633-2
复制
发表时间：
2017
影响因子：
3
通讯作者：
C. Wybranski
中科院分区：
文献类型：
--
作者：
M. Rak;T. König;K.D. Tönnies;M. Walke;J. Ricke;C. Wybranski
在组织间高剂量率近距离放射治疗中，肝癌通过内照射治疗，需要经皮将施源器放置在肿瘤内或肿瘤附近。为了最大化效用，在磁共振图像上预先规划最佳施用器配置。然后，通过磁共振引导介入实施预先计划的配置。映射到介入数据的预规划信息将减少放射科医生的认知负荷在干预过程中，并可能最大限度地减少最佳的预规划和实际放置applicator.MethodsWe之间的差异提出了一个快速和强大的两步注册框架，适合于介入设置：首先，我们利用多分辨率刚性注册，以纠正患者定位（旋转和平移）的差异。其次，我们采用了一种新的迭代方法交替偏置场校正和马尔可夫随机场变形登记在多分辨率框架，以补偿非刚性运动的肝脏，肿瘤和器官的风险。与现有的预校正方法相比，我们的多分辨率方案可以恢复不同程度的偏置场伪影在边际computational costs.ResultsWe比较我们的方法，通过B-样条，恶魔和SyN方法的变形注册22注册任务，从11例。结果表明，我们的方法比肝脏和肿瘤组织的竞争者更准确。我们得到的平均肝脏体积重叠率为94.0 ± 2.7%，肝脏和肿瘤组织的平均表面到表面距离分别为2.02 ± 0.87 mm和3.55 ± 2.19 mm。报告的距离接近（甚至低于）我们数据的层间距（2.5 - 3.0 mm）。我们的方法也是最快的，taking 35.8 ± 12.8 s per task.ConclusionThe所提出的方法是足够准确的映射信息从近距离放射治疗预规划到介入数据。它也相当快，为干预期间的计算机辅助提供了一个起点。
PurposeIn interstitial high-dose rate brachytherapy, liver cancer is treated by internal radiation, requiring percutaneous placement of applicators within or close to the tumor. To maximize utility, the optimal applicator configuration is pre-planned on magnetic resonance images. The pre-planned configuration is then implemented via a magnetic resonance-guided intervention. Mapping the pre-planning information onto interventional data would reduce the radiologist’s cognitive load during the intervention and could possibly minimize discrepancies between optimally pre-planned and actually placed applicators.MethodsWe propose a fast and robust two-step registration framework suitable for interventional settings: first, we utilize a multi-resolution rigid registration to correct for differences in patient positioning (rotation and translation). Second, we employ a novel iterative approach alternating between bias field correction and Markov random field deformable registration in a multi-resolution framework to compensate for non-rigid movements of the liver, the tumors and the organs at risk. In contrast to existing pre-correction methods, our multi-resolution scheme can recover bias field artifacts of different extents at marginal computational costs.ResultsWe compared our approach to deformable registration via B-splines, demons and the SyN method on 22 registration tasks from eleven patients. Results showed that our approach is more accurate than the contenders for liver as well as for tumor tissues. We yield average liver volume overlaps of 94.0 ± 2.7% and average surface-to-surface distances of 2.02 ± 0.87 mm and 3.55 ± 2.19 mm for liver and tumor tissue, respectively. The reported distances are close to (or even below) the slice spacing (2.5 – 3.0 mm) of our data. Our approach is also the fastest, taking 35.8 ± 12.8 s per task.ConclusionThe presented approach is sufficiently accurate to map information available from brachytherapy pre-planning onto interventional data. It is also reasonably fast, providing a starting point for computer-aidance during intervention.
登录
查看更多内容
40 HIPO：HDR 近距离放射治疗中的混合逆向治疗计划优化算法
DOI：
--
发表时间：
2005
期刊：
影响因子：
--
作者：
A. Karabis;S. Giannouli;D. Baltas
通讯作者：
D. Baltas
功能图像配准（FIRE）软件的开发与应用
DOI：
--
发表时间：
2005
期刊：
Comput. Methods Programs Biomed.
影响因子：
--
作者：
J. Lee;K. Park;D. Lee;C. Lee;June;M. Lee
通讯作者：
M. Lee
基于可变形模型的非刚性3D医学图像配准与融合
影响因子：
--
作者：
Peng Liu;Benjamin Eberhardt;C. Wybranski;J. Ricke;L. Lüdemann
通讯作者：
L. Lüdemann
影响因子：
2.5
作者：
Fedorov, Andriy;Beichel, Reinhard;Kalpathy-Cramer, Jayashree;Finet, Julien;Fillion-Robin, Jean-Christophe;Pujol, Sonia;Bauer, Christian;Jennings, Dominique;Fennessy, Fiona;Sonka, Milan;Buatti, John;Aylward, Stephen;Miller, James V.;Pieper, Steve;Kikinis, Ron
通讯作者：
Kikinis, Ron
CT 引导原发性和继发性肺部恶性肿瘤间质近距离治疗
DOI：
--
发表时间：
2008
期刊：
Strahlentherapie und Onkologie (Print)
影响因子：
--
作者：
N. Peters;G. Wieners;M. Pech;S. Hengst;R. Rühl;F. Streitparth;E. Lopez Hänninen;R. Felix;P. Wust;J. Ricke
通讯作者：
J. Ricke