Fully automatic reconstruction of prostate high-dose-rate brachytherapy interstitial needles using two-phase deep learning-based segmentation and object tracking algorithms

Fully automatic reconstruction of prostate high-dose-rate brachytherapy interstitial needles using two-phase deep learning-based segmentation and object tracking algorithms

The critical aspect of successful brachytherapy (BT) is accurate detection of applicator/needle trajectories, which is an ongoing challenge. This study proposes a two-phase deep learning-based method to automate localization of high-dose-rate (HDR) prostate BT catheters through the patient’s CT imag...

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Bibliographic Details
Main Authors: Mohammad Mahdi Moradi, Zahra Siavashpour, Soheib Takhtardeshir, Eman Showkatian, Ramin Jaberi, Reza Ghaderi, Bahram Mofid, Farzad Taghizadeh-Hesary
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Clinical and Translational Radiation Oncology
Subjects:
Brachytherapy
Deep Learning
Prostate
Catheters
Neural Networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2405630825000151
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http://www.sciencedirect.com/science/article/pii/S2405630825000151

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