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基于磁共振的自动空气分割技术,用于生成头部区域的合成计算机断层扫描。

Magnetic Resonance-Based Automatic Air Segmentation for Generation of Synthetic Computed Tomography Scans in the Head Region.

机构信息

Department of Radiation Oncology, Henry Ford Health Systems, Detroit, Michigan.

Philips Healthcare, Cleveland, Ohio.

出版信息

Int J Radiat Oncol Biol Phys. 2015 Nov 1;93(3):497-506. doi: 10.1016/j.ijrobp.2015.07.001. Epub 2015 Jul 9.

DOI:10.1016/j.ijrobp.2015.07.001
PMID:26460991
Abstract

PURPOSE

To incorporate a novel imaging sequence for robust air and tissue segmentation using ultrashort echo time (UTE) phase images and to implement an innovative synthetic CT (synCT) solution as a first step toward MR-only radiation therapy treatment planning for brain cancer.

METHODS AND MATERIALS

Ten brain cancer patients were scanned with a UTE/Dixon sequence and other clinical sequences on a 1.0 T open magnet with simulation capabilities. Bone-enhanced images were generated from a weighted combination of water/fat maps derived from Dixon images and inverted UTE images. Automated air segmentation was performed using unwrapped UTE phase maps. Segmentation accuracy was assessed by calculating segmentation errors (true-positive rate, false-positive rate, and Dice similarity indices using CT simulation (CT-SIM) as ground truth. The synCTs were generated using a voxel-based, weighted summation method incorporating T2, fluid attenuated inversion recovery (FLAIR), UTE1, and bone-enhanced images. Mean absolute error (MAE) characterized Hounsfield unit (HU) differences between synCT and CT-SIM. A dosimetry study was conducted, and differences were quantified using γ-analysis and dose-volume histogram analysis.

RESULTS

On average, true-positive rate and false-positive rate for the CT and MR-derived air masks were 80.8% ± 5.5% and 25.7% ± 6.9%, respectively. Dice similarity indices values were 0.78 ± 0.04 (range, 0.70-0.83). Full field of view MAE between synCT and CT-SIM was 147.5 ± 8.3 HU (range, 138.3-166.2 HU), with the largest errors occurring at bone-air interfaces (MAE 422.5 ± 33.4 HU for bone and 294.53 ± 90.56 HU for air). Gamma analysis revealed pass rates of 99.4% ± 0.04%, with acceptable treatment plan quality for the cohort.

CONCLUSIONS

A hybrid MRI phase/magnitude UTE image processing technique was introduced that significantly improved bone and air contrast in MRI. Segmented air masks and bone-enhanced images were integrated into our synCT pipeline for brain, and results agreed well with clinical CTs, thereby supporting MR-only radiation therapy treatment planning in the brain.

摘要

目的

利用超短回波时间(UTE)相位图像纳入一种新的成像序列,以实现稳健的空气和组织分割,并实现创新的合成 CT(synCT)解决方案,作为脑癌磁共振仅放疗治疗计划的第一步。

方法与材料

10 例脑癌患者在具有模拟功能的 1.0 T 开放式磁体上接受 UTE/Dixon 序列和其他临床序列扫描。从 Dixon 图像和反转 UTE 图像导出的水/脂肪图的加权组合生成骨增强图像。使用未缠绕的 UTE 相位图自动执行空气分割。通过计算使用 CT 模拟(CT-SIM)作为金标准的分割误差(真阳性率、假阳性率和 Dice 相似性指数)来评估分割准确性。synCT 使用基于体素的加权求和方法生成,该方法结合了 T2、液体衰减反转恢复(FLAIR)、UTE1 和骨增强图像。平均绝对误差(MAE)描述了 synCT 和 CT-SIM 之间的 Hounsfield 单位(HU)差异。进行了剂量学研究,并使用γ分析和剂量-体积直方图分析量化了差异。

结果

平均而言,CT 和 MR 衍生的空气掩模的真阳性率和假阳性率分别为 80.8%±5.5%和 25.7%±6.9%。Dice 相似性指数值为 0.78±0.04(范围为 0.70-0.83)。synCT 和 CT-SIM 之间的全视场 MAE 为 147.5±8.3 HU(范围为 138.3-166.2 HU),最大误差发生在骨-气界面(骨的 MAE 为 422.5±33.4 HU,空气的 MAE 为 294.53±90.56 HU)。γ分析显示通过率为 99.4%±0.04%,该队列的治疗计划质量可接受。

结论

引入了一种混合 MRI 相位/幅度 UTE 图像处理技术,该技术可显著提高 MRI 中的骨和空气对比度。分割的空气掩模和骨增强图像被集成到我们的 synCT 脑管道中,结果与临床 CT 非常吻合,从而支持脑癌的磁共振仅放疗治疗计划。

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