Abstract #2599

The analysis of kidney diffusion patterns with non-linear least square method in AKI

Yingjie Mei¹, Yihao Guo², Shuyu Wu³, Zhigang Wu⁴, Wei Luo¹, Xiangliang Tan⁵, Guangyi Wang¹, and Zaiyi Liu^1,6

¹Department of Radiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China, ²Department of Radiology, Hainan General Hospital, Haikou, China, ³Radiotherapy Center, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China, ⁴Philips Healthcare, Shenzhen, China, ⁵Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, ⁶Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China

Synopsis

Keywords: Diffusion Analysis & Visualization, Kidney

Motivation: Diffusion components and the initial values must be specified in advance in IVIM, which might not be sensible in tissues with complicated diffusion characteristics.

Goal(s): To reveal the changes of diffusion patterns of kidney in acute kidney injury (AKI).

Approach: Non-negative least squares (NNLS) method shown to derive the number of compartments from the data, rather than to impose it in the analysis of diffusion signals was employed.

Results: The volume fraction of tubular or/and vascular decreased significantly and restricted tissue water diffusion was detected in AKI.

Impact: Our results suggest that NNLS model is potentially a valuable tool for accurate description of diffusion in kidney.

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