Schär Michael, Kim Won Yong, Stuber Matthias, Boesiger Peter, Manning Warren J, Botnar René M
Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts 02215, USA.
J Magn Reson Imaging. 2003 May;17(5):538-44. doi: 10.1002/jmri.10287.
To examine the impact of spatial resolution and respiratory motion on the ability to accurately measure atherosclerotic plaque burden and to visually identify atherosclerotic plaque composition.
Numerical simulations of the Bloch equations and vessel wall phantom studies were performed for different spatial resolutions by incrementally increasing the field of view. In addition, respiratory motion was simulated based on a measured physiologic breathing pattern.
While a spatial resolution of > or = 6 pixels across the wall does not result in significant errors, a resolution of < or = 4 pixels across the wall leads to an overestimation of > 20%. Using a double-inversion T2-weighted turbo spin echo sequence, a resolution of 1 pixel across equally thick tissue layers (fibrous cap, lipid, smooth muscle) and a respiratory motion correction precision (gating window) of three times the thickness of the tissue layer allow for characterization of the different coronary wall components.
We found that measurements in low-resolution black blood images tend to overestimate vessel wall area and underestimate lumen area.
研究空间分辨率和呼吸运动对准确测量动脉粥样硬化斑块负荷以及直观识别动脉粥样硬化斑块成分能力的影响。
通过逐步增大视野,对不同空间分辨率进行了布洛赫方程的数值模拟和血管壁模型研究。此外,基于测量的生理呼吸模式模拟了呼吸运动。
当壁上空间分辨率≥6像素时不会导致显著误差,而壁上分辨率≤4像素会导致超过20%的高估。使用双反转T2加权快速自旋回波序列,在同等厚度的组织层(纤维帽、脂质、平滑肌)上1像素的分辨率以及组织层厚度三倍的呼吸运动校正精度(门控窗口)能够对不同的冠状动脉壁成分进行表征。
我们发现低分辨率黑血图像测量往往会高估血管壁面积并低估管腔面积。