Infarct Volume Quantification
Infarct Volume Quantification - Related Videos
09:45
Histological Quantification of Chronic Myocardial Infarct in Rats
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Cited by 14 •
2016
The post-mortem assessment of myocardial infarction (MI) in rodents is based on quantification of the infarct on stained heart sections. We describe an accurate method to quantify the infarct size using systematic sampling of harvested rat hearts from base to apex and image analyses of trichrome-stained histological sections.
07:45
Acute Myocardial Infarction in Rats
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Cited by 103 •
2011
The rat model of acute myocardial infarction (AMI) is useful to study the consequence of a MI on cardiac pathophysiological and physiological function.
07:28
Real-time Pressure-volume Analysis of Acute Myocardial Infarction in Mice
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Cited by 2 •
2018
Acute myocardial infarction in mice induces acute but incompletely characterized changes in left ventricular (LV) function. LV catheterization in mice undergoing coronary artery occlusion serves as a novel method for a real-time evaluation of LV function.
12:03
Myocardial Infarction and Functional Outcome Assessment in Pigs
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Cited by 52 •
2014
This protocol describes the porcine myocardial infarction (MI) model using a 90 min closed-chest coronary balloon occlusion of the left anterior descending artery (LAD), followed by reperfusion. Furthermore, the protocol for several outcome parameters, such as cardiac function, hemodynamics, microvascular resistance, and infarct size, are also presented.
12:45
Detection and Quantification of Tunneling Nanotubes Using 3D Volume View Images
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Cited by 10 •
2022
Tunneling nanotubes (TNTs) are primarily open-ended F-actin membrane nanotubes that connect neighboring cells, facilitating intercellular communication. The notable characteristic that distinguishes TNTs from other cell protrusions is the hovering nature of the nanotubes between cells. Here, we characterize TNTs by constructing a 3D volume view of confocal z-stack images.
FAQs
Segmentation is the critical step that converts an image into a measurable lesion region. The analysis identifies which image elements belong to infarcted tissue, then includes those elements in the volume calculation. Because the selected region directly determines the final value, consistent segmentation is essential when comparing injury severity, disease progression, or treatment effects across patients.
Voxel size links the image representation to the reported measurement. Infarct volume is obtained by summing the sizes of affected voxels, so the calculation depends on both the tissue classified as damaged and the dimensions assigned to each image element. Recording this basis helps keep measurements interpretable and supports consistent comparisons between scans or studies.
Standardized quantification reduces variation in how infarcted regions are identified and measured. This consistency makes volume estimates more comparable across patients, clinical studies, and treatment groups. It also strengthens interpretation of changes over time, helping investigators distinguish differences in tissue injury or recovery from differences caused by inconsistent measurement practices.
A typical workflow begins with brain imaging, such as computed tomography or magnetic resonance imaging. The infarcted region is then identified and segmented from the surrounding tissue. Finally, the sizes of the affected voxels or image elements are summed to produce a volume estimate. The resulting value can be used for assessment, comparison, or follow-up.
Infarct volume provides an objective measure of the extent of tissue injury, complementing clinical assessment in stroke care. Its size can help characterize injury severity and support prognostic evaluation. When measurements are repeated or compared across patients, they can also contribute to understanding disease progression and the relationship between tissue damage and expected outcomes.
Researchers can compare infarct volumes between treatment groups or across time to assess how an intervention relates to tissue damage and recovery. Because the measurement produces a numerical outcome, it supports structured comparisons in clinical research. Standardized methods further improve the consistency of these comparisons and help clarify whether observed outcome differences correspond to changes in injured tissue.