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...
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: | |
Online Access: | https://ieeexplore.ieee.org/document/9615046/ |
Similar Items
-
A review of bio-inspired needle for percutaneous interventions
by: Yichi Ma, et al.
Published: (2022-12-01) -
Design and Analysis of an MRI-Compatible Soft Needle Manipulator
by: Jie Chen, et al.
Published: (2024-02-01) -
Artifacts’ Detection for MRI Non-Metallic Needles: Comparative Analysis for Artifact Evaluation Using K-Means and Manual Quantification
by: Marwah AL-Maatoq, et al.
Published: (2023-03-01) -
Migration of innumerable chronically retained acupuncture needles
by: Frances Lazarow, MD, et al.
Published: (2017-09-01) -
Design and control of a MRI-compatible pneumatic needle puncture robot
by: Baoliang Zhao, et al.
Published: (2019-10-01)