Real-time parametric curved needle segmentation in 3D ultrasound images
Why this work is in the frame
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Bibliographic record
Abstract
3D Ultrasound-guided needle insertion has recently received much attention in minimally invasive percutaneous procedures such as image guided needle steering. In this paper we present a novel technique for real-time detection of curved needles in three-dimensional ultrasound images. A new parameterization for the generalized Radon transform is introduced and implemented on a graphics processing unit using NVIDIApsilas Compute Unified Device Architecture (CUDA) programming. The effectiveness of the algorithm is demonstrated on reconstructed 3D-US images of a brachytherapy needle carried by a laparoscopic needle holder mounted on a minimally invasive surgical robotic test-bed. Results of experiments for insertion of three different needles into a tissue mimicking gelatin agar cube are presented.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it