Image analysis techniques to map pyramids, pyramid structure, glomerular distribution, and pathology in the intact human kidney from 3-D MRI-Reference-Cited by-同舟云学术

Image analysis techniques to map pyramids, pyramid structure, glomerular distribution, and pathology in the intact human kidney from 3-D MRI

Published:2021-09-01 Issue:3 Volume:321 Page:F293-F304
ISSN:1931-857X
Container-title:American Journal of Physiology-Renal Physiology
language:en
Short-container-title:American Journal of Physiology-Renal Physiology

Author:

Charlton Jennifer R.¹,Xu Yanzhe²³,Parvin Neda⁴,Wu Teresa²³,Gao Fei²³,Baldelomar Edwin J.⁴,Morozov Darya⁴,Beeman Scott C.⁵,Derakhshan Jamal⁴,Bennett Kevin M.⁴^ORCID

Affiliation:

1. Department of Pediatrics, University of Virginia Children’s Hospital, Charlottesville, Virginia

2. School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona

3. Mayo Center for Innovative Imaging, Arizona State University, Tempe, Arizona

4. Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri

5. School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona

Abstract

We report the application of cutting-edge image analysis approaches to characterize the pyramidal geometry, glomerular microstructure, and heterogeneity of the whole human kidney imaged using MRI. This work establishes a framework to improve the detection of microstructural pathology to potentially facilitate disease monitoring or transplant evaluation in the individual kidney.

Funder

HHS | NIH | National Center for Advancing Translational Sciences

HHS | NIH | National Center for Research Resources

HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases

Washington University School of Medicine in St. Louis

University of Virginia School of Medicine

Publisher

American Physiological Society

Subject

Physiology

Link

https://journals.physiology.org/doi/pdf/10.1152/ajprenal.00130.2021