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

Advances in biomedical image analysis--past, present and future challenges.

T M Lehmann, H P Meinzer, T Tolxdorff

    Methods of Information in Medicine
    |October 9, 2004
    PubMed
    Summary

    Biomedical imaging has evolved from basic data files to complex Digital Imaging and Communications in Medicine (DICOM) protocols. Research now focuses on image interpretation and task-oriented solutions for clinical integration.

    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

    iPad-assisted percutaneous nephrolithotomy (PCNL): a matched pair analysis compared to standard PCNL.

    World journal of urology·2019
    Same author

    Medical Images in Integrated Health Care Workstations.

    Yearbook of medical informatics·2016
    Same author

    Image and Signal Processing.

    Yearbook of medical informatics·2016
    Same author

    Erratum to: OpenHELP (Heidelberg laparoscopy phantom): development of an open-source surgical evaluation and training tool.

    Surgical endoscopy·2015
    Same author

    OpenHELP (Heidelberg laparoscopy phantom): development of an open-source surgical evaluation and training tool.

    Surgical endoscopy·2015
    Same author

    Magnetic tracking in the operation room using the da Vinci(®) telemanipulator is feasible.

    Journal of robotic surgery·2013

    Area of Science:

    • Biomedical imaging and medical image processing.

    Background:

    • Early biomedical imaging relied on raw data files with limited information.
    • Rapid advancements have led to complex protocols like Digital Imaging and Communications in Medicine (DICOM) for medical image management.
    • Current research emphasizes image interpretation, moving beyond basic image formation and storage challenges.

    Discussion:

    • The field is shifting from a method-driven approach, focusing on algorithm development (registration, segmentation, classification, measurements), to a task-oriented paradigm.
    • This shift reflects the integration of medical image processing into clinical workflows, including diagnosis, intervention planning, therapy, and follow-up.
    • The evolution is mirrored in scientific literature, with German research aligning with international trends.

    Key Insights:

    • Medical image processing has progressed significantly, overcoming initial technical hurdles.

    Related Experiment Videos

  • A paradigm shift is occurring from methodological algorithm development to integrated, task-oriented clinical applications.
  • The future lies in seamless integration of imaging solutions into patient care pathways.

    • Outlook:

    • The future of medical image processing involves task-oriented solutions deeply embedded in clinical practice.
    • Continued integration into diagnosis, intervention planning, therapy, and follow-up studies is expected.
    • International collaboration and alignment of research efforts, as seen in German contributions, will shape future developments.