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 Video

Updated: May 2, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

2.1K

Incremental learning with selective memory (ILSM): towards fast prostate localization for image guided radiotherapy.

Yaozong Gao1, Yiqiang Zhan2, Dinggang Shen1

  • 1Department of Radiology and BRIC, University of North Carolina at Chapel Hill.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|March 1, 2014
PubMed
Summary

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

Denoising Diffusion-Weighted Images Using Grouped Iterative Hard Thresholding of Multi-Channel Framelets.

Computational diffusion MRI : MICCAI Workshop·2017
Same author

Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion.

Computational diffusion MRI : MICCAI Workshop·2017
Same author

Robust Fusion of Diffusion MRI Data for Template Construction.

Scientific reports·2017
Same author

Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2017
Same author

Segmenting hippocampal subfields from 3T MRI with multi-modality images.

Medical image analysis·2017
Same author

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.

Machine learning in medical imaging. MLMI (Workshop)·2017

This study introduces incremental learning with selective memory (ILSM) for accurate prostate localization in image-guided radiotherapy (IGRT). The novel framework personalizes models using patient-specific CT scans, improving accuracy and speed.

Area of Science:

  • Medical Imaging
  • Radiotherapy
  • Machine Learning

Background:

  • Accurate prostate localization in CT scans is crucial for image-guided radiotherapy (IGRT).
  • Challenges include low tissue contrast and patient-specific anatomical variations.
  • Existing methods often overlook valuable patient-specific information from serial CT scans.

Purpose of the Study:

  • To develop a novel learning framework, incremental learning with selective memory (ILSM), for enhanced prostate localization.
  • To leverage patient-specific CT images to personalize appearance models.
  • To improve the accuracy and efficiency of prostate localization in IGRT.

Main Methods:

  • Proposed a novel incremental learning with selective memory (ILSM) framework.
  • Developed a population-based discriminative appearance model.

More Related Videos

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance
05:19

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance

Published on: November 7, 2025

1.1K
PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
10:48

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

9.1K

Related Experiment Videos

Last Updated: May 2, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

2.1K
A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance
05:19

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance

Published on: November 7, 2025

1.1K
PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
10:48

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

9.1K
  • Personalized the model using backward pruning and forward learning incorporating patient-specific characteristics.

    • Main Results:

    • Achieved high prostate localization accuracy (Dice Similarity Coefficient ~0.87).
    • Demonstrated fast localization performance, completing in approximately 4 seconds.
    • Validated the method on a large dataset of 349 CT scans.

    Conclusions:

    • ILSM effectively learns patient-specific appearance characteristics for improved prostate localization.
    • Combining general population statistics with patient-specific data enhances model accuracy.
    • The proposed method offers a significant advancement for IGRT workflows.