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Updated: Jan 17, 2026

An Intact Pericardium Ischemic Rodent Model

An Intact Pericardium Ischemic Rodent Model

Published on: September 2, 2021

Pericardial segmentation: a proposed model to quantify disease burden.

Louis Jonas Giliomee¹, Janette Verster², Innocent Maposa³

¹Department of Internal Medicine, Division of Cardiology, Tygerberg Hospital, Cape Town, South Africa giliomeelj13@gmail.com.

|September 24, 2025

Summary

A new cardiac MRI segmentation model standardizes pericardial assessment. This validated tool quantifies pericardial disease burden across the left and right ventricles for improved clinical decisions.

Keywords:

Magnetic Resonance Imaging PERICARDITIS Pericardial Effusion Pericarditis, Constrictive

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Last Updated: Jan 17, 2026

An Intact Pericardium Ischemic Rodent Model

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Published on: September 2, 2021

Ultrasonic Assessment of Myocardial Microstructure

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Published on: January 14, 2014

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

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Published on: February 13, 2021

Area of Science:

Cardiovascular Imaging
Medical Physics
Anatomical Pathology

Background:

Cardiac MRI (CMR) is crucial for evaluating constrictive pericarditis.
Standardized quantification of pericardial disease burden is needed.
Existing methods lack reproducibility.

Purpose of the Study:

Introduce a standardized pericardial segmentation model for CMR.
Validate the model against anatomical specimens.
Ensure ease of clinical use and reproducibility.

Main Methods:

Developed a pericardial segmentation model using 100 normal cardiac specimens.
Measured left ventricular (LV) and right ventricular (RV) surface areas on short-axis slices.
Compared specimen data to an idealized model for segment size variability.

Main Results:

LV and RV contributed nearly equal ventricular surface areas (49.9% vs. 50.1%).
LV pericardial area mapped to 11 segments (4.51%±0.2% per segment).
RV pericardial area mapped to 9 novel segments (5.54%±0.3% per segment).
Minimal differences between measured and idealized models (0.04% LV, 0.02% RV).

Conclusions:

A validated pericardial segmentation model using standard CMR views is presented.
The model ensures clinical usability with equal-sized LV and RV segments.
Enables quantification of pericardial disease distribution and burden, aiding clinical decisions and research.