Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 21, 2026

Traditional Trail Making Test Modified into Brand-new Assessment Tools: Digital and Walking Trail Making Test
08:07

Traditional Trail Making Test Modified into Brand-new Assessment Tools: Digital and Walking Trail Making Test

Published on: November 23, 2019

Step by step analysis toward optimal MTF algorithm using an edge test device.

Molly Donovan1, Da Zhang, Hong Liu

  • 1Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.

Journal of X-Ray Science and Technology
|August 1, 2009
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Ultralow-Lattice-Mismatched Near-Zero-Strain Zn (0002) Anodes for Stable Zinc Metal Batteries.

Angewandte Chemie (International ed. in English)·2025
Same author

Bone Marrow Mesenchymal Stem Cell Hydrogel-Mediated Fibroblast Reprogramming Restores Intestinal Function in Adhesive Small Bowel Obstruction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

A novel feline herpesvirus vector subunit FCV VP1 and FPV VP2 vaccine protects cats against FHV-1 and FPV challenge and induces serum neutralizing antibody responses against FCV.

Frontiers in immunology·2025
Same author

Plasma-engineered LiF/Al<sub>2</sub>O<sub>3</sub> hybrid CEI for high-rate and stable LiFePO<sub>4</sub> cathodes.

Journal of colloid and interface science·2025
Same author

Calreticulin Enhances Therapeutic Immune Responses of Dry Thermostat-Stressed Hepatocellular Carcinoma Cell Vaccine.

ACS nano·2025
Same author

Demystifying the Romanticized Narratives About Carbon Credits From Voluntary Forest Conservation.

Global change biology·2025
Same journal

Semi-supervised YOLO-DEP for high-resolution X-ray component localization and counting.

Journal of X-ray science and technology·2026
Same journal

Attention based multi-scale edge-aware segmentation and convolutional transformer framework for automated glaucoma detection from fundus images.

Journal of X-ray science and technology·2026
Same journal

Improving the robustness of radiomic features to patient size variations in CBCT imaging for radiotherapy.

Journal of X-ray science and technology·2026
Same journal

DH-OOD: A decoupled hybrid framework for robust skin lesion classification via semantic-structural fusion.

Journal of X-ray science and technology·2026
Same journal

Development and evaluation of deep learning models for automatic coronary stenosis segmentation in X-ray angiography.

Journal of X-ray science and technology·2026
Same journal

Projection-domain reconstruction of patient-specific panoramic images from CBCT projection data.

Journal of X-ray science and technology·2026
See all related articles

This study optimizes modulation transfer function (MTF) calculation in x-ray imaging by evaluating individual edge algorithm steps. New methods for edge spread function (ESF) and line spread function (LSF) processing yield improved accuracy.

Area of Science:

  • Medical Imaging Physics
  • Radiological Sciences
  • Image Processing

Background:

  • Accurate modulation transfer function (MTF) determination is crucial for x-ray imaging quality assessment.
  • Existing edge processing algorithms for MTF calculation have not had their individual steps systematically evaluated.
  • Variations in algorithm steps can significantly impact the final MTF results.

Purpose of the Study:

  • To systematically evaluate alternative methods for each step within edge-based MTF algorithms.
  • To identify and recommend optimal methods for each algorithmic step based on experimental conditions.
  • To investigate novel methods and combinations for improved MTF determination.

Main Methods:

  • Comparative analysis of various techniques for each stage of edge algorithm processing.

More Related Videos

Easy and Accurate Mechano-profiling on Micropost Arrays
10:25

Easy and Accurate Mechano-profiling on Micropost Arrays

Published on: November 17, 2015

Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step
07:19

Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step

Published on: June 16, 2021

Related Experiment Videos

Last Updated: Jun 21, 2026

Traditional Trail Making Test Modified into Brand-new Assessment Tools: Digital and Walking Trail Making Test
08:07

Traditional Trail Making Test Modified into Brand-new Assessment Tools: Digital and Walking Trail Making Test

Published on: November 23, 2019

Easy and Accurate Mechano-profiling on Micropost Arrays
10:25

Easy and Accurate Mechano-profiling on Micropost Arrays

Published on: November 17, 2015

Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step
07:19

Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step

Published on: June 16, 2021

  • Investigation of region of interest (ROI) size for edge spread function (ESF) calculation.
  • Implementation and evaluation of a novel three-step ESF filtering approach.
  • Application of median filtering to ESF and line spread function (LSF) smoothing.

    • Main Results:

    • Identified significant differences in MTF results based on the chosen methods for individual algorithm steps.
    • New methods, including a three-step ESF filter and median filtering, demonstrated comparable or superior performance.
    • Optimized combinations of methods were determined for specific experimental conditions.

    Conclusions:

    • A step-by-step optimization of edge algorithms is essential for accurate MTF calculation in x-ray imaging.
    • The study provides a guide for selecting optimal methods for each algorithm step.
    • Novel filtering techniques offer potential for enhanced MTF accuracy.