von Siebenthal M, Cattin Ph, Gamper U, Lomax A, Székely G
Computer Vision Laboratory, ETH, CH-8092 Zürich, Switzerland.
Med Image Comput Comput Assist Interv. 2005;8(Pt 2):336-43. doi: 10.1007/11566489_42.
Respiratory organ motion is a key problem in proton therapy and in many other treatments. This paper presents a novel retrospective gating method for 4D (dynamic 3D) MR imaging during free breathing to capture the full variability of respiratory organ deformation. In contrast to other imaging methods, a constant breathing depth or even strict periodicity are not assumed. 3D images of moving organs can be reconstructed for complete respiratory cycles by retrospective stacking of dynamic 2D images using internal image-based gating. Additional noise reduction by combining multiple images significantly increases the signal-to-noise ratio. The resulting image quality is comparable to breath-hold acquisitions. Although the method was developed for proton therapy planning, the new possibilities to study respiratory motion are valuable to improve other treatments and to assess gating techniques, which rely on stronger assumptions about the breathing pattern.
呼吸器官运动是质子治疗及许多其他治疗中的一个关键问题。本文提出了一种用于自由呼吸期间4D(动态3D)磁共振成像的新型回顾性门控方法,以捕捉呼吸器官变形的全部变化情况。与其他成像方法不同,该方法不假定呼吸深度恒定甚至严格周期性。通过基于内部图像的门控对动态二维图像进行回顾性叠加,可以重建移动器官在完整呼吸周期内的三维图像。通过组合多个图像进行额外的降噪处理可显著提高信噪比。最终的图像质量与屏气采集相当。尽管该方法是为质子治疗计划而开发的,但研究呼吸运动的新可能性对于改进其他治疗方法以及评估依赖于对呼吸模式有更强假设的门控技术具有重要价值。