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Abstract #3917

Evaluation of diffusion MRI-based cytometry imagine based on Spearman's correlation analysis

Zongshu Wang1, Fan Liu2, Lei Wu3, Li Chen4, Sisi Li5, Haihua Bao3, Junzhong Xu6,7,8, Hua Guo2, and Diwei Shi9
1Tanwei College, Tsinghua University, Beijing, China, 2Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China, 3Qinghai University Affiliated Hospital, Xining, China, 4Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing, China, 5MR Research Collaboration, Siemens Healthineers, Beijing, China, 6Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 7Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 8Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States, 9Center for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing, China

Synopsis

Keywords: Microstructure, Microstructure

Motivation: DMRI-based cytometry methods have emerged for in-vivo microstructural imaging, however, it is difficult to evaluate accuracy of fitted results in clinic due to lack of ground-truth.

Goal(s): To quantitative evaluate accuracy of results through correlation analysis.

Approach: IMPULSED fitting and Spearman’s correlation analysis on dMRI data from 90 patients with malignant breast cancer. numerical simulations

Results: Strong correlation metrics between IMPULSED-derived microstructural parameters and measured ADC values can be used to evaluate the accuracy of model fitting, such as the metric of νin vs. ADCPGSE , which is higher to indicate lower fitted errors.

Impact: Evaluation for accuracy of emerging dMRI-based cytometry methods is limited by the lack of ground-truth, such as pathologic staining results. This prospective study demonstrated clinical potential of evaluating accuracy of imaging results through correlation analysis in the absence of ground-truth.

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Keywords