Rieke Viola, Vigen Karl K, Sommer Graham, Daniel Bruce L, Pauly John M, Butts Kim
Department of Radiology, Stanford University, Stanford, California 94305-5488, USA.
Magn Reson Med. 2004 Jun;51(6):1223-31. doi: 10.1002/mrm.20090.
The proton resonance frequency (PRF) shift provides a means of measuring temperature changes during minimally invasive thermotherapy. However, conventional PRF thermometry relies on the subtraction of baseline images, which makes it sensitive to tissue motion and frequency drift during the course of treatment. In this study, a new method is presented that eliminates these problems by estimating the background phase from each acquired image phase. In this referenceless method, a polynomial is fit to the background phase outside the heated region in a weighted least-squares fit. Extrapolation of the polynomial to the heated region serves as the background phase estimate, which is then subtracted from the actual phase. The referenceless method is demonstrated on a phantom during laser heating, 0 degrees temperature rise images of in vivo human liver, interstitial laser ablation of porcine liver, and transurethral ultrasound ablation of canine prostate. A good correlation between temperature maps reconstructed with the referenceless and subtraction methods was found.
质子共振频率(PRF)偏移提供了一种在微创热疗过程中测量温度变化的方法。然而,传统的PRF温度测量依赖于基线图像的相减,这使得它在治疗过程中对组织运动和频率漂移敏感。在本研究中,提出了一种新方法,该方法通过从每个采集的图像相位估计背景相位来消除这些问题。在这种无参考方法中,在加权最小二乘拟合中,将一个多项式拟合到加热区域外的背景相位。将该多项式外推到加热区域用作背景相位估计,然后从实际相位中减去该估计值。在激光加热过程中的体模、体内人肝脏的0度温度上升图像、猪肝脏的间质激光消融以及犬前列腺的经尿道超声消融中对该无参考方法进行了验证。发现用无参考方法和相减方法重建的温度图之间具有良好的相关性。