Compartmental analysis of renal physiology using nuclear medicine data and statistical optimization

TL;DR

This paper presents a novel compartmental modeling approach for renal physiology using nuclear medicine data, validated through synthetic and real micro-PET measurements in mice, combining spectral analysis and statistical optimization.

Contribution

It introduces a general method for compartmental modeling of nuclear data, specifically applied to renal physiology, integrating spectral analysis with statistical optimization.

Findings

Validated method against synthetic data

Successfully applied to real micro-PET measurements

Demonstrated effectiveness in modeling renal physiology

Abstract

This paper describes a general approach to the compartmental modeling of nuclear data based on spectral analysis and statistical optimization. We utilize the renal physiology as test case and validate the method against both synthetic data and real measurements acquired during two micro-PET experiments with murine models.