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Updated: Jun 18, 2026

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

A MRI myocardial perfusion analysis tool.

G Née¹, S Jehan-Besson, L Brun

¹GREYC laboratory - CNRS UMR 6072 - Caen - France.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

This summary is machine-generated.

This study introduces a new tool for analyzing MRI myocardial perfusion, crucial for assessing ischemic heart disorders. The method accurately tracks heart muscle and segments hypoperfused areas, improving diagnostic capabilities.

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MRI and PET in Mouse Models of Myocardial Infarction

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MRI and PET in Mouse Models of Myocardial Infarction

MRI and PET in Mouse Models of Myocardial Infarction

Published on: December 19, 2013

Area of Science:

Cardiovascular Imaging
Medical Image Analysis
Cardiac MRI

Background:

MRI myocardial perfusion analysis is vital for diagnosing ischemic heart disorders.
Accurate tracking and segmentation of the myocardium are essential for identifying hypoperfused regions.

Purpose of the Study:

To present a semiautomatic tracking tool for MRI sequences.
To introduce a segmentation algorithm for identifying pathological and healthy myocardial regions.
To validate the effectiveness of the proposed methods for hypoperfused area detection.

Main Methods:

Development of a semiautomatic tool for accurate myocardium tracking throughout MRI sequences.
Implementation of a segmentation algorithm utilizing statistical tests and a concentration theorem.
Experimental validation of the tracking and segmentation steps.

Main Results:

The proposed tool enables accurate, semiautomatic tracking of the myocardium.
The segmentation algorithm effectively distinguishes between healthy and hypoperfused myocardial areas.
Experimental results confirm the availability and accuracy of the developed setting.

Conclusions:

The presented semiautomatic tracking and segmentation methods enhance MRI myocardial perfusion analysis.
This approach offers a robust solution for identifying ischemic or hypoperfused areas in the heart.
The validated tool aids in the assessment of ischemic heart disorders.