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 Videos

An efficient algorithm for MR image reconstruction and compression.

H Wang1, D Rosenfeld, M Braun

  • 1School of Electrical Engineering, University of Sydney, NSW, Australia.

Australasian Physical & Engineering Sciences in Medicine
|September 1, 1992
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

Testicular fluorine-18 fludeoxyglucose uptake on positron emission tomography CT in patients with lymphoma: clinical significance and management impact.

The British journal of radiology·2014
Same author

Health of adults living with a clinically significant haemoglobinopathy in New South Wales, Australia.

Internal medicine journal·2013
Same author

The immature reticulocyte fraction: a negative predictor of the harvesting of CD34 cells for autologous peripheral blood stem cell transplantation.

Clinical and laboratory haematology·2006
Same author

Direct comparison of 18F-fluorodeoxyglucose coincidence gamma camera tomography with gallium scanning for the staging of lymphoma.

Internal medicine journal·2005
Same author

Smoking rain clouds over the Amazon.

Science (New York, N.Y.)·2004
Same author

Power of exclusion for parentage verification and probability of match for identity in American Kennel Club breeds using 17 canine microsatellite markers.

Animal genetics·2004
Same journal

A comparison between EPSON V700 and EPSON V800 scanners for film dosimetry.

Australasian physical & engineering sciences in medicine·2020
Same journal

Nanodosimetric understanding to the dependence of the relationship between dose-averaged lineal energy on nanoscale and LET on ion species.

Australasian physical & engineering sciences in medicine·2020
Same journal

Schizophrenia diagnosis using innovative EEG feature-level fusion schemes.

Australasian physical & engineering sciences in medicine·2020
Same journal

Force decoding using local field potentials in primary motor cortex: PLS or Kalman filter regression?

Australasian physical & engineering sciences in medicine·2020
Same journal

EPSM 2019, Engineering and Physical Sciences in Medicine : 28-30 October 2019, Perth, Australia.

Australasian physical & engineering sciences in medicine·2020
Same journal

New name: Physical and Engineering Sciences in Medicine.

Australasian physical & engineering sciences in medicine·2020
See all related articles

This study introduces a novel method using the discrete cosine transform (DCT) for magnetic resonance imaging (MRI). It efficiently combines image reconstruction and data compression for medical imaging systems.

Area of Science:

  • Medical Imaging
  • Signal Processing
  • Data Compression

Background:

  • Magnetic Resonance Imaging (MRI) acquires data in the spatial frequency domain as discrete Fourier transform (DFT) coefficients.
  • Image reconstruction from DFT coefficients is typically performed using inverse DFT.
  • Efficient data compression is crucial for medical picture archiving and communication systems (PACS).

Purpose of the Study:

  • To present a novel method that integrates image reconstruction and data compression in MRI.
  • To explore the application of the discrete cosine transform (DCT) for processing sampled MRI data.
  • To address the challenges of image reconstruction and compression in PACS.

Main Methods:

  • Utilizing the discrete cosine transform (DCT) to process the spatially sampled frequency domain data.

Related Experiment Videos

  • Combining image reconstruction and data compression into a single procedure.
  • Applying the method to sampled magnetic resonance imaging (MRI) data.

    • Main Results:

    • Demonstrated a method that unifies image reconstruction and data compression.
    • Showcased the potential of DCT for direct processing of MRI frequency domain data.
    • Highlighted the applicability in resource-constrained medical imaging environments.

    Conclusions:

    • The proposed DCT-based method offers an efficient approach for MRI image reconstruction and data compression.
    • This technique is particularly beneficial for Picture Archiving and Communication Systems (PACS).
    • Integrating these two processes can streamline medical imaging workflows and reduce data storage requirements.