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

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

1.1K
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
1.1K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

252
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
252
Fundamental Attribution Error01:14

Fundamental Attribution Error

13.8K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.8K
Distance Corrections01:15

Distance Corrections

288
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
288
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

11.0K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.0K
Plastic Deformations01:19

Plastic Deformations

461
Plastic deformation represents a fundamental concept in materials science, which explains the irreversible change in the shape of a material when it experiences stress beyond its elastic capability. This phenomenon is important in structural engineering, especially in designing and analyzing cantilever beams—structures that are securely fixed at one end and bear loads at the opposite end. When these beams are subjected to loads within their elastic range, they will return to their...
461

You might also read

Related Articles

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

Sort by
Same author

A nomogram for predicting the in-hospital risk of recurrence among patients with minor non-cardiac stroke.

Current medical research and opinion·2022
Same author

A Distinct Metabolically Defined Central Nucleus Circuit Bidirectionally Controls Anxiety-Related Behaviors.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2022
Same author

Autophagy-related DjAtg1-1 plays critical role in planarian regeneration by regulating proliferation and cell death.

Cell and tissue research·2022
Same author

Insights into the enhanced flux of graphene oxide composite membrane in direct contact membrane distillation: The different role at evaporation and condensation interfaces.

Water research·2022
Same author

MRI-based radiomics analysis improves preoperative diagnostic performance for the depth of stromal invasion in patients with early stage cervical cancer.

Insights into imaging·2022
Same author

Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.

European radiology·2022
Same journal

Multi-Scale convolutional neural networks integrated with self-attention for motor imagery EEG decoding.

Biomedical engineering letters·2026
Same journal

Low-power analog and mixed-signal circuit techniques for next-generation miniature implantable neural interface systems.

Biomedical engineering letters·2026
Same journal

Advances in semiconductor materials and device architectures for biomedical systems: a mini review.

Biomedical engineering letters·2026
Same journal

A Multi-perception fusion using shared-control method for brain-mobile robot.

Biomedical engineering letters·2026
Same journal

SSA-DCNet: a cross-session MI-EEG classification network based on deformable convolution and spatial-shift attention.

Biomedical engineering letters·2026
Same journal

Advanced silicon nanomembrane based bioelectronics for flexible and stretchable implantable systems.

Biomedical engineering letters·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

49.4K

Automatic error correction using adaptive weighting for vessel-based deformable image registration.

Jing Ren1, Mark Green1, Xishi Huang2

  • 11University of Ontario Institute of Technology, Oshawa, ON Canada.

Biomedical Engineering Letters
|January 4, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive weighting method to improve deformable image registration accuracy in inhomogeneous tissues, particularly for tumor regions. The new approach significantly reduces maximum registration errors, enhancing clinical applicability.

Keywords:
AdaptiveDeformable registrationImage registrationPhysics-based modelStrain energy

More Related Videos

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.6K
Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.5K

Related Experiment Videos

Last Updated: Jan 31, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

49.4K
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.6K
Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.5K

Area of Science:

  • Medical imaging
  • Biomedical engineering
  • Computational anatomy

Background:

  • Deformable image registration is crucial for clinical applications but faces challenges with inhomogeneous tissues, such as those containing tumors.
  • Existing methods often exhibit maximum errors in tumor regions, exceeding acceptable thresholds.
  • Tumor presence significantly complicates accurate image registration.

Purpose of the Study:

  • To develop and validate a novel error correction method with adaptive weighting for deformable image registration in inhomogeneous tissues.
  • To reduce the maximum registration error, especially in clinically relevant regions like those with embedded tumors.
  • To introduce a new evaluation metric, Average Error of Deformation Field (AEDF), for assessing registration accuracy.

Main Methods:

  • An adaptive weighting error correction method was developed, incorporating a previous fast deformable registration method in an inner loop.
  • A new evaluation metric, Average Error of Deformation Field (AEDF), was proposed to assess accuracy in critical areas like vessel regions and bifurcations.
  • The proposed method was validated using liver Magnetic Resonance (MR) images from human subjects.

Main Results:

  • The adaptive weighting method significantly reduced maximum registration errors compared to the previous method without adaptive weighting.
  • The new evaluation metric, AEDF, demonstrated the effectiveness of the proposed method in minimizing errors in critical anatomical areas.
  • Validation with human liver MR images confirmed the substantial reduction in maximum registration errors.

Conclusions:

  • The proposed adaptive weighting method effectively reduces maximum registration errors in deformable image registration for inhomogeneous tissues.
  • The novel AEDF metric provides a valuable tool for evaluating registration accuracy in challenging regions.
  • This method holds significant potential for improving the accuracy and reliability of image-guided interventions and clinical applications involving tumor imaging.