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

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Sparse patch-based label propagation for accurate prostate localization in CT images.

Shu Liao1, Yaozong Gao, Jun Lian

  • 1Department of Radiology and Biomedical Research Imaging Center (BRIC), Chapel Hill, NC 27599, USA. liaoshu.cse@gmail.com

IEEE Transactions on Medical Imaging
|December 4, 2012
PubMed
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This study introduces an advanced prostate computed tomography (CT) segmentation technique using patch-based features and multi-atlas label fusion for improved image-guided radiation therapy accuracy.

Area of Science:

  • Medical Imaging
  • Radiotherapy
  • Computational Anatomy

Background:

  • Prostate segmentation in CT images is crucial for image-guided radiation therapy.
  • Low contrast in CT images presents a significant challenge for accurate segmentation.

Purpose of the Study:

  • To develop a novel prostate CT segmentation method addressing low contrast and improving accuracy.
  • To enhance image-guided radiation therapy through precise prostate delineation.

Main Methods:

  • Utilized patch-based representation in a discriminative feature space with logistic sparse LASSO for anatomical signatures.
  • Implemented a multi-atlas label fusion method under a sparse representation framework, incorporating nonlocal means and sparsity constraints.
  • Employed a hierarchical labeling strategy and an online update mechanism for adaptive segmentation.

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Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
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Last Updated: May 16, 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

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
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Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

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Main Results:

  • The proposed method demonstrated superior segmentation accuracy compared to state-of-the-art algorithms.
  • Extensive evaluation on a database of 24 patients with multiple treatment images validated the method's performance.
  • Consistent improvements in segmentation accuracy were observed across various evaluation metrics.

Conclusions:

  • The novel prostate CT segmentation method effectively overcomes low contrast issues.
  • The approach offers enhanced accuracy for image-guided radiation therapy planning.
  • The proposed technique provides a robust and adaptive solution for prostate segmentation.