Lei Xuan, Schniter Philip, Chen Chong, Sultan Muhammad Ahmad, Ahmad Rizwan
The Ohio State University.
Proc IEEE Int Symp Biomed Imaging. 2024 May;2024. doi: 10.1109/isbi56570.2024.10635382. Epub 2024 Aug 22.
Modern MRI scanners utilize one or more arrays of small receive-only coils to collect k-space data. The sensitivity maps of the coils, when estimated using traditional methods, differ from the true sensitivity maps, which are generally unknown. Consequently, the reconstructed MR images exhibit undesired spatial variation in intensity. These intensity variations can be at least partially corrected using pre-scan data. In this work, we propose an intensity correction method that utilizes pre-scan data. For demonstration, we apply our method to a digital phantom, as well as to cardiac MRI data collected from a commercial scanner by Siemens Healthineers. The code is available at https://github.com/OSU-MR/SCC.
现代磁共振成像（MRI）扫描仪使用一个或多个仅用于接收的小型线圈阵列来收集k空间数据。当使用传统方法估计线圈的灵敏度图时，其与通常未知的真实灵敏度图不同。因此，重建的MR图像在强度上呈现出不期望的空间变化。这些强度变化可以使用预扫描数据至少部分地校正。在这项工作中，我们提出了一种利用预扫描数据的强度校正方法。为了进行演示，我们将我们的方法应用于数字模型以及从西门子医疗公司的商用扫描仪收集的心脏MRI数据。代码可在https://github.com/OSU-MR/SCC获取。
