Hey S, Maclair G, de Senneville B D, Lepetit-Coiffe M, Berber Y, Köhler M O, Quesson B, Moonen C T W, Ries M
Laboratory for Molecular and Functional Imaging: From Physiology to Therapy, Equipe de Recherche Technologique Centre National de la Recherche Scientifique/Universite Bordeaux 2, Bordeaux, France.
Magn Reson Med. 2009 Jun;61(6):1494-9. doi: 10.1002/mrm.21954.
MR-thermometry allows monitoring of the local temperature evolution during minimally invasive interventional therapies. However, for the particular case of MR-thermometry in the human breast, magnetic field variations induced by the respiratory cycle lead to phase fluctuations requiring a suitable correction strategy to prevent thermometry errors. For this purpose a look-up-table-based multibaseline approach as well as a model-based correction algorithm were applied to MR-thermometry to correct for the periodic magnetic field changes. The proposed correction method is compatible with a variety of sensors monitoring the current respiratory state. The ability to remove phase artefacts during MR-thermometry of the human breast was demonstrated experimentally in five healthy volunteers during 3 min of free-breathing using pencil-beam navigators for respiratory control. An increase of 170-530% in temperature precision was observed for the look-up-table-based approach, whereas a further improvement by 16-36% could be achieved by applying the extended model-based correction.
磁共振热成像能够在微创介入治疗过程中监测局部温度变化。然而,对于人体乳腺磁共振热成像的特殊情况,呼吸周期引起的磁场变化会导致相位波动,这就需要一种合适的校正策略来防止测温误差。为此,将基于查找表的多基线方法以及基于模型的校正算法应用于磁共振热成像,以校正周期性磁场变化。所提出的校正方法与多种监测当前呼吸状态的传感器兼容。在五名健康志愿者自由呼吸3分钟期间,使用笔形束导航器进行呼吸控制,通过实验证明了该方法在人体乳腺磁共振热成像过程中去除相位伪影的能力。基于查找表的方法使温度精度提高了170% - 530%,而应用扩展的基于模型的校正可进一步提高16% - 36%。