Objective

Magnetic resonance imaging with hyperpolarized contrast agents can provide unprecedented in vivo measurements of metabolism, but yields images that are lower resolution than that achieved with proton anatomical imaging. In order to spatially localize the metabolic activity, the metabolic image must be interpolated to the size of the proton image. The most common methods for choosing the unknown values rely exclusively on values of the original uninterpolated image.

Methods

In this work, we present an alternative method that uses the higher-resolution proton image to provide additional spatial structure. The interpolated image is the result of a convex optimization algorithm which is solved with the fast iterative shrinkage threshold algorithm (FISTA).

Results

Results are shown with images of hyperpolarized pyruvate, lactate, and bicarbonate using data of the heart and brain from healthy human volunteers, a healthy porcine heart, and a human with prostate cancer.

中文翻译：

---

磁共振代谢图像的双色插值

客观的

使用超极化造影剂的磁共振成像可以提供前所未有的体内代谢测量，但产生的图像分辨率低于质子解剖成像。为了在空间上定位代谢活动，代谢图像必须插值到质子图像的大小。选择未知值的最常用方法完全依赖于原始未插值图像的值。

方法

在这项工作中，我们提出了一种替代方法，该方法使用更高分辨率的质子图像来提供额外的空间结构。插值图像是通过快速迭代收缩阈值算法 (FISTA) 求解的凸优化算法的结果。

结果

使用来自健康人类志愿者、健康猪心脏和患有前列腺癌的人的心脏和大脑数据，通过超极化丙酮酸盐、乳酸和碳酸氢盐的图像显示结果。