Physics-Driven Mask R-CNN for Physical Needle Localization in MRI-Guided Percutaneous Interventions

Physics-Driven Mask R-CNN for Physical Needle Localization in MRI-Guided Percutaneous Interventions

Discrepancies between the needle feature position on magnetic resonance imaging (MRI) and the underlying physical needle position could increase localization errors during needle-based targeting procedures in MRI-guided percutaneous interventions. This work aimed to develop a deep learning-based fra...

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Bibliographic Details
Main Authors: Xinzhou Li, Yu-Hsiu Lee, David S. Lu, Tsu-Chin Tsao, Holden H. Wu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Interventional MRI
device tracking
needle susceptibility
deep learning
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9615046/

Internet

https://ieeexplore.ieee.org/document/9615046/

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