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Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

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Volume visualization of the ascending thoracic aorta using isotropic MDCT data: protocol optimization.

Pamela T Johnson¹, Karen M Horton, Elliot K Fishman

¹The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA. pjohnso5@jhmi.edu

AJR. American Journal of Roentgenology

|October 23, 2010

Summary

This summary is machine-generated.

This review details optimizing multi-detector computed tomography (MDCT) for clear ascending aorta imaging. Adhering to protocols and using postprocessing tools ensures accurate evaluation of the aorta and heart structures.

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Area of Science:

Medical Imaging
Cardiovascular Radiology
Computed Tomography

Background:

Ascending aorta imaging is crucial for diagnosing cardiovascular diseases.
Advancements in multi-detector computed tomography (MDCT) offer improved visualization.
Optimizing imaging parameters is essential for diagnostic accuracy.

Purpose of the Study:

To provide a detailed review of optimizing data acquisition, reconstruction, and postprocessing for ascending aorta imaging.
To focus on techniques using 64- and dual-source 128-MDCT scanners.

Main Methods:

Review of current literature and technical guidelines for MDCT imaging of the aorta.
Analysis of image acquisition parameters, including contrast administration and scan timing.
Evaluation of reconstruction algorithms and postprocessing techniques, such as multiplanar reformation and volume rendering.

Main Results:

Optimized protocols significantly enhance image quality and reduce artifacts.
Specific acquisition and reconstruction parameters are critical for maximizing dataset resolution.
Comprehensive postprocessing is necessary for thorough evaluation of the ascending aorta and associated structures.

Conclusions:

Successful interpretation of ascending aorta imaging requires strict adherence to optimized protocols.
Maximizing dataset resolution through careful technique is paramount.
Routine utilization of all available postprocessing tools is essential for optimal evaluation of the aorta, aortic valve, heart, and coronary arteries.