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

Automated MR image synthesis: feasibility studies.

S J Riederer, S A Suddarth, S A Bobman

    Radiology
    |October 1, 1984
    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

    [Application of peripheral blood endonuclease activity assay in the auxiliary diagnosis and monitoring of ovarian cancer].

    Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2026
    Same author

    [Inhibition of osteogenic differentiation of mouse bone marrow mesenchymal stem cells and maxillary expansion osteogenesis by cytoskeleton-associated protein 4 knockout].

    Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology·2025
    Same author

    [Analysis of long-term efficacy of CO<sub>2</sub> laser partial excision of vocal folds for 599 cases in the treatment of vocal cord leukoplakia].

    Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2024
    Same author

    [Comparison of surgical outcomes between Kahook Dual Blade goniotomy and Trabectome surgery in patients with open-angle glaucoma].

    [Zhonghua yan ke za zhi] Chinese journal of ophthalmology·2024
    Same author

    Using Policy Briefs to Communicate Dental Research Findings to Policymakers.

    JDR clinical and translational research·2023
    Same author

    [Protective repair of discolored breast cancer HE sections by color transfer].

    Zhonghua bing li xue za zhi = Chinese journal of pathology·2023
    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

    This study introduces automated magnetic resonance (MR) image synthesis. The technique computes intrinsic MR parameters (T1, T2, N(H)) to generate new images, optimizing contrast and reducing scan times.

    Area of Science:

    • Medical Imaging
    • Biophysics
    • Computational Science

    Background:

    • Magnetic Resonance (MR) imaging relies on acquiring signals at various parameters.
    • Synthesizing MR images can offer advantages in contrast optimization and analysis.
    • Current methods may require extensive scanning time for parameter acquisition.

    Purpose of the Study:

    • To present an automated technique for synthesizing magnetic resonance (MR) images.
    • To enable retrospective optimization of image contrast and systematic analysis.
    • To reduce overall MR scanning time.

    Main Methods:

    • MR signals are acquired for varying pulse delay and repetition times.
    • Intrinsic parameters (T1, T2, N(H)) are computed from acquired signals.

    Related Experiment Videos

  • A new image is synthesized using equations based on MR signal behavior and computed parameters.

    • Main Results:

    • Demonstrated synthesis of MR images based on computed intrinsic parameters.
    • Initial results show dependence of spin echo signal on T2.
    • The technique allows for operator-interactive image generation.

    Conclusions:

    • Automated MR image synthesis offers retrospective contrast optimization and reduced scanning.
    • The method facilitates rapid and systematic analysis of MR image data.
    • Potential limitations include accuracy, noise, motion artifacts, and multicomponent behavior.