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 Concept Videos

Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Location- and ADC-based stratification of transition zone PI-RADS 3 lesions to optimize biopsy indication.

Abdominal radiology (New York)·2026
Same author

Triple-catheter adjunctive technique through a 6-Fr distal access catheter for coil embolisation of splenic aneurysm: one balloon and two embolisation catheters via single access.

BJR case reports·2026
Same author

Effects of intermittent pneumatic compression device on the improvement of tissue oxygen saturation and fluid clearance at the compression site.

Frontiers in physiology·2026
Same author

Large gains in SNR through the application of Shinnar-Le Roux RF pulse design to short-TR spin-echo fMRI acquisitions at 7 T.

Magnetic resonance imaging·2026
Same author

A practical tip for estimating skeletal maturation in children aged < 3 years using humeral ossification on chest radiographs: A retrospective study.

European journal of pediatrics·2026
Same author

Validation of the Pubourethral Stump Angle as a Predictive Parameter for Elaborate Anastomotic Urethroplasty in Pelvic Fracture Urethral Injury.

International journal of urology : official journal of the Japanese Urological Association·2025

Related Experiment Video

Updated: Jul 2, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

Biexponential apparent diffusion coefficients in prostate cancer.

Hiroshi Shinmoto1, Koichi Oshio, Akihiro Tanimoto

  • 1Department of Radiology, National Defense Medical College, Tokorozawa, Saitama 359-8513, Japan. hshinmo@ndmc.ac.jp

Magnetic Resonance Imaging
|September 5, 2008
PubMed
Summary

Biexponential modeling is necessary for prostate cancer diffusion MRI signal decays over extended b-factor ranges. This advanced technique provides unique tissue characterization parameters for improved cancer detection.

More Related Videos

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy
11:43

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

Published on: May 10, 2014

Related Experiment Videos

Last Updated: Jul 2, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy
11:43

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

Published on: May 10, 2014

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Biomedical Engineering
  • Oncology

Background:

  • Diffusion-weighted MRI (DW-MRI) is crucial for prostate cancer assessment.
  • Traditional monoexponential models may not fully capture complex signal behaviors.
  • Extended b-factor ranges offer more detailed tissue information.

Purpose of the Study:

  • To evaluate the necessity of biexponential modeling for prostate cancer diffusion signal decays.
  • To investigate signal decay characteristics over an extended b-factor range (0-3000 s/mm²).

Main Methods:

  • DW-MRI was performed on healthy volunteers and prostate cancer patients using line scan imaging.
  • Signal decay curves were acquired across 16 b-factor steps.
  • Data were fitted using both monoexponential and biexponential models for statistical comparison.

Main Results:

  • Biexponential modeling significantly outperformed monoexponential fitting in peripheral zone, transitional zone, and prostate cancer.
  • Distinct fast and slow apparent diffusion coefficients (ADCs) and diffusion fractions were identified.
  • Prostate cancer exhibited significantly lower fast and slow ADCs and a smaller fast diffusion fraction compared to healthy tissue.

Conclusions:

  • Biexponential diffusion decay functions are essential for accurate prostate cancer characterization with extended b-factor DW-MRI.
  • This modeling approach yields unique tissue parameters valuable for diagnosing prostate cancer.