Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.
Xinzhou LiAdam S YoungSteven S RamanDavid S LuYu-Hsiu LeeTsu-Chin TsaoHolden H WuPublished in: International journal of computer assisted radiology and surgery (2020)
The proposed algorithm using Mask R-CNN can accurately track the needle feature tip and axis on MR images from in vivo intra-procedural prostate biopsy cases and ex vivo real-time MRI experiments with a range of different conditions. The algorithm achieved pixel-level tracking accuracy in real time and has potential to assist MRI-guided percutaneous interventions.
Keyphrases
- ultrasound guided
- deep learning
- contrast enhanced
- convolutional neural network
- machine learning
- magnetic resonance imaging
- fine needle aspiration
- diffusion weighted imaging
- prostate cancer
- physical activity
- neural network
- minimally invasive
- magnetic resonance
- optical coherence tomography
- risk assessment
- climate change
- positive airway pressure
- benign prostatic hyperplasia
- obstructive sleep apnea