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

Radiological image compression: full-frame bit-allocation technique.

S C Lo, H K Huang

    Radiology
    |June 1, 1985
    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

    [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

    Atomic Configuration of Point Defect Clusters in Ion-Irradiated Silicon Carbide.

    Scientific reports·2017
    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

    Automatic threshold selection using histogram quantization.

    Journal of biomedical optics·2012
    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 journal

    Erratum for: Prediction of Lobar Emphysema Progression with a CT-Based Foundational Model.

    Radiology·2026
    Same journal

    Erratum for: Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German Cohort.

    Radiology·2026
    Same journal

    Erratum for: Blue Rubber Bleb Nevus Syndrome.

    Radiology·2026
    Same journal

    Redefining the Clinical Role of MRI in Endometrial Cancer Staging.

    Radiology·2026
    Same journal

    To Ablate or Not to Ablate: The Colorectal Liver Metastasis Question.

    Radiology·2026
    Same journal

    The Limits of Radiologic Categorization in Pulmonary Nonsolid Nodules.

    Radiology·2026
    See all related articles

    A new full-frame bit-allocation technique effectively compresses radiological images using cosine transform encoding. This method achieves high compression ratios with minimal visual degradation, proving suitable for diagnostic imaging.

    Area of Science:

    • Medical Imaging
    • Image Processing
    • Digital Signal Processing

    Background:

    • Radiological image compression is crucial for efficient storage and transmission.
    • Existing compression techniques may lead to unacceptable loss of diagnostic information.
    • Need for advanced algorithms to balance compression ratio and image fidelity.

    Purpose of the Study:

    • To develop and evaluate a full-frame bit-allocation technique for radiological image compression.
    • To assess the effectiveness of cosine transform encoding in this context.
    • To determine the suitability of the technique for diagnostic purposes.

    Main Methods:

    • Developed a full-frame bit-allocation technique.
    • Employed cosine transform encoding for image data.

    Related Experiment Videos

  • Tested the technique on six types of diagnostic radiological images.

    • Main Results:

    • Encouraging results were obtained across various diagnostic image types.
    • Reconstructed images showed no excessive visual degradation at compression ratios of 4:1, 8:1, 12:1, and 16:1.
    • The technique demonstrated effective compression while preserving image quality.

    Conclusions:

    • The developed full-frame bit-allocation technique is suitable for diagnostic image compression.
    • Cosine transform encoding is a viable method for this application.
    • The technique offers a promising solution for efficient radiological data management.