Harvard Biophysics, Boston, Boston, MA 02115, USA.
Magn Reson Med. 2013 Apr;69(4):1023-33. doi: 10.1002/mrm.24336. Epub 2012 May 30.
We demonstrate a new method of using ultrasound data to achieve prospective motion compensation in MRI, especially for respiratory motion during interventional MRI procedures in moving organs such as the liver. The method relies on fingerprint-like biometrically distinct ultrasound echo patterns produced by different locations in tissue, which are collated with geometrical information from MRI during a training stage to form a mapping table that relates ultrasound measurements to positions. During prospective correction, the system makes frequent ultrasound measurements and uses the map to determine the corresponding position. Results in motorized linear motion phantoms and freely breathing animals indicate that the system performs well. Apparent motion is reduced by up to 97.8%, and motion artifacts are reduced or eliminated in two-dimensional spoiled gradient-echo images. The motion compensation is sufficient to permit MRI thermometry of focused ultrasound heating during respiratory-like motion, with results similar to those obtained in the absence of motion. This new technique may have applications for MRI thermometry and other dynamic imaging in the abdomen during free breathing.
我们展示了一种利用超声数据实现 MRI 前瞻性运动补偿的新方法,特别是针对介入 MRI 手术中移动器官(如肝脏)的呼吸运动。该方法依赖于组织中不同位置产生的类似指纹的生物特征性超声回波模式,这些模式与 MRI 中的几何信息在训练阶段进行核对,以形成将超声测量值与位置相关联的映射表。在前瞻性校正期间,系统会进行频繁的超声测量,并使用该映射表来确定相应的位置。机动线性运动体模和自由呼吸动物的结果表明,该系统性能良好。明显的运动减少了高达 97.8%,二维扰相梯度回波图像中的运动伪影减少或消除。运动补偿足以实现呼吸样运动期间聚焦超声加热的 MRI 测温,结果与无运动时相似。这项新技术可能适用于腹部自由呼吸时的 MRI 测温和其他动态成像。