Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Aliasing

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

[Effects of Shugan Jieyu capsules combined with Zolpidem on sleep quality and daytime cognitive function in insomnia with depressive symptoms patients].

Zhonghua yi xue za zhi·2025

Same author

Medical imaging, PACS, and imaging informatics: retrospective.

Radiological physics and technology·2013

Same author

Medical imaging informatics simulators: a tutorial.

International journal of computer assisted radiology and surgery·2013

Same author

A DICOM-based 2nd generation Molecular Imaging Data Grid implementing the IHE XDS-i integration profile.

International journal of computer assisted radiology and surgery·2011

Same author

From PACS to Web-based ePR system with image distribution for enterprise-level filmless healthcare delivery.

Radiological physics and technology·2011

Same author

Short history of PACS. Part I: USA.

European journal of radiology·2011

Search research articles

Related Experiment Video

Updated: Jul 8, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Film digitization aliasing artifacts caused by grid line patterns.

J Wang¹, H K Huang

¹Dept. of Radiol. Sci., California Univ., Los Angeles, CA.

IEEE Transactions on Medical Imaging

|January 1, 1994

Summary

Digitizing radiographic films with grid lines can cause Moire patterns. This study presents a mathematical model to predict these aliasing artifacts and suggests methods to reduce them without compromising image quality.

More Related Videos

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Related Experiment Videos

Last Updated: Jul 8, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Area of Science:

Medical Imaging
Digital Signal Processing
Radiography

Background:

Digitization of radiographic films with grid patterns can introduce aliasing artifacts, commonly known as Moire patterns.
These artifacts can degrade the diagnostic quality of medical images.

Purpose of the Study:

To develop a mathematical model for predicting aliasing artifact amplitudes and frequencies during radiographic film digitization.
To propose effective strategies for mitigating Moire patterns without significant loss of image quality.

Main Methods:

A mathematical model was developed considering digitizer laser spot size, grid line properties, and sampling direction.
Predicted artifact characteristics were compared against experimental results.
Methods for artifact reduction were investigated.

Main Results:

The mathematical model accurately predicted the amplitudes and frequencies of aliasing artifacts.
Experimental validation confirmed the model's predictions.
Effective techniques for reducing Moire patterns were identified.

Conclusions:

The proposed mathematical model provides a reliable method for predicting aliasing artifacts in digitized radiographic films.
The study offers practical solutions for minimizing Moire patterns, thereby improving digital radiographic image quality.