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Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

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High Pitch Helical CT Reconstruction.

John W Hayes, Juan Montoya, Adam Budde

IEEE Transactions on Medical Imaging

|May 24, 2021

Summary

This summary is machine-generated.

High pitch helical CT imaging (p=4) is now possible without artifacts using advanced filtered backprojection, compressed sensing, and deep learning methods for multi-row detector CT scanners.

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Area of Science:

Medical Imaging
Computed Tomography
Image Reconstruction

Background:

Multi-row detector CT (MDCT) scanners typically require pitch (p) < 1.5 to prevent artifacts.
Reconstructing clinically useful images at higher pitches remains a challenge.

Purpose of the Study:

To investigate the feasibility of accurate helical CT image reconstruction at high pitch values (p=4).
To overcome limitations of current MDCT scanner table translation speeds.

Main Methods:

Integration of advanced helical filtered backprojection.
Application of compressed sensing techniques.
Utilization of deep learning methods for image reconstruction.

Main Results:

Demonstrated accurate reconstruction of helical CT images up to pitch p=4.
Achieved reconstruction without significant artifacts for single source MDCT scans.

Conclusions:

Synergistic combination of advanced techniques enables high-pitch helical CT.
This approach overcomes previous limitations, allowing faster scanning without compromising image quality.