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

Quantifying heterogeneity in dynamic contrast-enhanced MRI parameter maps.

C J Rose1, S Mills, J P B O'Connor

  • 1Imaging Science & Biomedical Engineering, The University of Manchester, United Kingdom.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|November 30, 2007
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

Non-cirrhotic portal hypertension in HIV-infected individuals.

International journal of STD & AIDS·2011
Same author

DCE-MRI biomarkers of tumour heterogeneity predict CRC liver metastasis shrinkage following bevacizumab and FOLFOX-6.

British journal of cancer·2011
Same author

Expression and functional analysis of Dkk1 during early gonadal development.

Sexual development : genetics, molecular biology, evolution, endocrinology, embryology, and pathology of sex determination and differentiation·2011
Same author

Bacillus-calmette-guerin (bcg) organisms directly alter the growth of bladder-tumor cells.

International journal of oncology·2011
Same author

Bladder cancer cells do not express co-stimulatory molecules B7-1, B7-2 and B7-3.

International journal of oncology·2011
Same author

Production of IL-5, a classical T(H)2 cytokine, following bacillus Calmette guerin immunotherapy of bladder cancer.

International journal of oncology·2011
Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
See all related articles

New 4-D spatial statistics for Dynamic Contrast-Enhanced MRI (DCE-MRI) parameter maps capture crucial diagnostic information. These novel methods reveal significant differences in gliomas and liver metastases, improving analysis beyond simple statistics.

Area of Science:

  • Medical Imaging
  • Radiology
  • Quantitative MRI

Background:

  • Standard Dynamic Contrast-Enhanced MRI (DCE-MRI) statistics often overlook spatial parameter distribution.
  • Spatial arrangement in DCE-MRI parameter maps holds significant diagnostic and prognostic value.
  • Novel statistical approaches are needed to incorporate spatial information.

Purpose of the Study:

  • To introduce novel 4-D spatial statistics for DCE-MRI parameter maps.
  • To assess the sensitivity of these new statistics to both parameter values and their spatial arrangement.
  • To evaluate the utility of these statistics in differentiating tumor grades and treatment responses.

Main Methods:

  • Creation of 4-D binary objects from 3-D DCE-MRI parameter maps by extruding voxels proportionally to their values.

Related Experiment Videos

  • Computation of surface area, volume, surface area to volume ratio, and box counting (fractal) dimension on these 4-D objects.
  • Application of these statistics to analyze glioma grades and liver metastases before/after VEGF inhibitor treatment.

    • Main Results:

    • Significant differences were observed between low and high-grade gliomas using box counting dimension, surface area, and volume of extruded maps (p < 0.05).
    • Significant differences were found in liver metastases treated with a VEGF inhibitor, particularly for the surface area to volume ratio of extruded K(trans) and v(e) maps (p = 0.0013 and p = 0.045).

    Conclusions:

    • Novel 4-D spatial statistics provide valuable insights into DCE-MRI data beyond conventional methods.
    • These statistics demonstrate potential for improved tumor grading and assessment of treatment efficacy.
    • The incorporation of spatial information significantly enhances the diagnostic power of DCE-MRI parameters.