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

Computer-based imaging and interventional MRI: applications for neurosurgery.

J Kettenbach1, T Wong, D Kacher

  • 1Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115, USA. kettjo@bwh.harvard.edu

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|January 19, 2000
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

Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art.

Physics in medicine and biology·2022
Same author

Differences between primary central nervous system lymphoma and glioblastoma: topographic analysis using voxel-based morphometry.

Clinical radiology·2019
Same author

Intravoxel Incoherent Motion MR Imaging of Pediatric Intracranial Tumors: Correlation with Histology and Diagnostic Utility.

AJNR. American journal of neuroradiology·2019
Same author

Predicting TERT promoter mutation using MR images in patients with wild-type IDH1 glioblastoma.

Diagnostic and interventional imaging·2019
Same author

Efficacy of pelvic artery embolisation for severe postpartum hemorrhage.

Archives of gynecology and obstetrics·2017
Same author

Automatic Segmentation of Breast Carcinomas from DCE-MRI using a Statistical Learning Algorithm.

Proceedings. IEEE International Symposium on Biomedical Imaging·2017

Open MRI systems and computer advancements improve neurosurgical intraoperative image guidance. These technologies enhance minimally invasive procedures and patient outcomes through integrated imaging and advanced processing.

Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Computer-Aided Surgery

Background:

  • Intraoperative image guidance in neurosurgery has been significantly advanced by computer technology and open Magnetic Resonance Imaging (MRI) systems.
  • These systems rely on integrating pre-acquired 3D patient anatomy data with real-time imaging.
  • Computerized image processing, including segmentation, registration, and display, is crucial for effective image guidance.

Purpose of the Study:

  • To highlight the role of open MRI and advanced computer technologies in enhancing neurosurgical intraoperative guidance.
  • To emphasize the integration of multimodal imaging for improved surgical interventions.
  • To discuss the impact of these advancements on treatment options and patient prognosis.

Main Methods:

Related Experiment Videos

  • Utilizing open MRI systems equipped with instrument tracking for an interactive surgical environment.
  • Implementing computerized image-processing methods such as segmentation, registration, and display.
  • Integrating previously acquired and processed 3D information with real-time patient anatomy.

    • Main Results:

    • Open MRI systems facilitate biopsies and minimally invasive interventions within an interactive environment.
    • Fast image integration techniques enable seamless use of processed anatomical data.
    • The combination of advanced imaging and processing enhances surgical precision and capabilities.

    Conclusions:

    • Advances in computer technology and open MRI systems significantly improve intraoperative image guidance in neurosurgery.
    • Integration of multimodal imaging and advanced processing techniques expands treatment options for surgically treatable diseases.
    • These technological enhancements have the potential to positively alter patient prognosis.