MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy
On the map: State-space sequence models (S4, Mamba) → Mamba for medical image analysis
Abstract (arXiv)
Ultrasound-guided fine needle aspiration (FNA) biopsy is a common minimally invasive diagnostic procedure. However, an aspiration needle tracker addressing rapid reciprocating motion is still missing. MrTrack, an aspiration needle tracker with a mamba-based register mechanism, is proposed. MrTrack leverages a Mamba-based register extractor to sequentially distill global context from each historical search map, storing these temporal cues in a register bank. The Mamba-based register retriever then retrieves temporal prompts from the register bank to provide external cues when current vision features are temporarily unusable due to rapid reciprocating motion and imaging degradation. A self-supervised register diversify loss is proposed to encourage feature diversity and dimension independence within the learned register, mitigating feature collapse. Comprehensive experiments conducted on both robotic and manual aspiration biopsy datasets demonstrate that MrTrack not only outperforms state-of-the-art trackers in accuracy and robustness but also achieves superior inference efficiency. Project page: https://github.com/PieceZhang/MrTrack
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in Mamba for medical image analysis, one of 10 directions in State-space sequence models (S4, Mamba). Builds on 21 of its 39 references that are in the map. First posted on arXiv 14 May 2025.
Builds on
21 of 39 references.
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Other references · 20
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
- 2020Bootstrap your own latent: A new approach to self-supervised Learningcited by 4,750
- 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,718
- 2021Barlow Twins: Self-Supervised Learning via Redundancy Reductioncited by 1,838
- 2021VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learningcited by 1,057
- 2023Vision Transformers Need Registerscited by 871
- 2018SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networkscited by 446
- 2018TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wildcited by 343
- 2023A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trendscited by 207
- 2019SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Trackingcited by 148
- 2024ODTrack: Online Dense Temporal Token Learning for Visual Trackingcited by 129
- 2021SwinTrack: A Simple and Strong Baseline for Transformer Trackingcited by 126
8 more
- 2021STMTrack: Template-free Visual Tracking with Space-time Memory Networkscited by 91
- 2024A Survey on Visual Mambacited by 50
- 2024Mamba-R: Vision Mamba ALSO Needs Registerscited by 41
- 2024Mamba-FETrack: Frame-Event Tracking via State Space Modelcited by 22
- 2024Robust Tracking via Mamba-based Context-aware Token Learningcited by 15
- 2024MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Trackingcited by 14
- 2024A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learningcited by 13
- 2024Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric Simulatorcited by 10
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.
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Close in wording, no citation either way
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