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 Concept Videos

Computed Tomography01:10

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...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

You might also read

Related Articles

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

Sort by
Same author

Extraordinary transmittance in three dimensional crater, pyramid, and hole-array structures prepared through reversal imprinting of metal films.

Optics express·2009
Same author

Using direct nanoimprinting to study extraordinary transmission in textured metal films.

Optics express·2008
Same author

Minimum error rate training for PHMM-based text recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Severe immune hemolytic anemia in disseminated tuberculosis with response to antituberculosis therapy.

Chest·2001
Same author

Csk and BatK show opposite temporal expression in the rat CNS: consistent with its late expression in development, BatK induces differentiation of PC12 cells.

The European journal of neuroscience·1998
Same author

Modulation of potassium channels by protein tyrosine kinase inhibitors.

Journal of cellular physiology·1994

Related Experiment Video

Updated: Jul 7, 2026

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
08:57

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

Published on: June 21, 2011

Resolution enhancement of tomographic images using the row action projection method.

S S Kuo1, R J Mammone

  • 1AT&T Bell Lab., Murray Hill, NJ.

IEEE Transactions on Medical Imaging
|January 1, 1991
PubMed
Summary

The row action projection (RAP) method enhances image resolution from filtered back projection (FBP) reconstructions. This efficient RAP implementation offers zoom-in capability for detailed regional analysis and improved spectral component recovery.

More Related Videos

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Related Experiment Videos

Last Updated: Jul 7, 2026

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
08:57

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

Published on: June 21, 2011

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Area of Science:

  • Medical imaging
  • Image reconstruction
  • Computational imaging

Background:

  • Filtered back projection (FBP) is a standard algorithm for image reconstruction.
  • Increasing the spatial resolution of FBP-reconstructed images remains a challenge.

Purpose of the Study:

  • To introduce an efficient implementation of the row action projection (RAP) method.
  • To enhance the spatial resolution of images reconstructed using FBP.
  • To provide a zoom-in capability for detailed analysis of specific image regions.

Main Methods:

  • Implementation of a computationally efficient row action projection (RAP) method.
  • Local adaptation of projection operators with constraints including local mean value, minimum, and maximum bounds.
  • Application of the method to images reconstructed via filtered back projection (FBP).

Main Results:

  • The proposed RAP method effectively increases spatial resolution.
  • The method provides zoom-in capability for high-resolution estimates of specified regions.
  • Computer simulations confirmed the effectiveness in recovering high-order spectral components.

Conclusions:

  • The computationally efficient RAP method significantly enhances image resolution for FBP reconstructions.
  • RAP offers valuable zoom-in functionality for detailed regional analysis.
  • The method demonstrates strong performance in recovering spectral information in targeted image areas.