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

Computerized tomography using a modified orthogonal tangent correction algorithm.

T C Hsia, S C Smith, B M Lantz

    Computer Programs in Biomedicine
    |October 1, 1976
    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

    The genomic landscape of familial glioma.

    Science advances·2023
    Same author

    Genome sequencing reveals underdiagnosis of primary ciliary dyskinesia in bronchiectasis.

    The European respiratory journal·2022
    Same author

    Proxy reporting of health-related quality of life for people with dementia: a psychometric solution.

    Health and quality of life outcomes·2020
    Same author

    Psoas and Paraspinous Muscle Measurements on Computed Tomography Predict Mortality in European Americans with Type 2 Diabetes Mellitus.

    The Journal of frailty & aging·2019
    Same author

    Synthesis, optical properties and theoretical modelling of discrete emitting states in doped silicon nanocrystals for bioimaging.

    Nanoscale·2018
    Same author

    Fermi Level Determination for Charged Systems via Recursive Density of States Integration.

    The journal of physical chemistry letters·2018
    Same journal

    Microprocessor-based system for on-line analysis of respiratory responses to exercise.

    Computer programs in biomedicine·1985
    Same journal

    A calculator program for clinical application of the Bayesian method of predicting plasma drug levels.

    Computer programs in biomedicine·1985
    Same journal

    Testing marginal homogeneity in square tables; with emphasis on matched data.

    Computer programs in biomedicine·1985
    Same journal

    Computerized analysis of enzyme cascade reactions using continuous rate data obtained with an ELISA reader.

    Computer programs in biomedicine·1985
    Same journal

    Mathematical modelling of stimulus-secretion coupling in the pancreatic B-cell. II. Calcium-stimulated calcium release.

    Computer programs in biomedicine·1985
    Same journal

    A program for logistic prediction modelling.

    Computer programs in biomedicine·1985
    See all related articles

    A novel computerized tomography algorithm enhances image reconstruction using four X-ray scans. This iterative method corrects image data for clearer transverse axial imaging.

    Area of Science:

    • Medical Imaging
    • Computerized Tomography
    • Image Reconstruction

    Background:

    • Computerized tomography (CT) is crucial for medical diagnostics.
    • Accurate image reconstruction is vital for diagnostic efficacy.
    • Existing CT algorithms may face limitations in certain applications.

    Purpose of the Study:

    • To introduce a modified orthogonal tangent correction algorithm for CT.
    • To improve the accuracy and quality of transverse axial image reconstruction.
    • To evaluate the algorithm's performance on phantom and real-world data.

    Main Methods:

    • Development of a modified orthogonal tangent correction algorithm.
    • Utilizing four X-ray scans spaced 45 degrees apart for data acquisition.

    Related Experiment Videos

  • An iterative reconstruction procedure involving alternate matching of orthogonal scan data.
  • Application and testing on phantom data and video-recorded fluoroscopic data.
  • Main Results:

    • Successful application of the algorithm to phantom data.
    • Demonstrated effectiveness on video-recorded fluoroscopic data.
    • The iterative correction process refines image matrix elements for improved accuracy.

    Conclusions:

    • The modified orthogonal tangent correction algorithm is a viable method for CT image reconstruction.
    • The algorithm shows promise for enhancing transverse axial imaging in CT.
    • Further validation on diverse datasets may confirm its clinical utility.