---
title: "USB Gym: A Gymnasium Testbed for Closed-Loop Ultrasound View Matching"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2611.08352v1"
permalink: "https://feed.astralor.com/items/itm_df15e1707c11c44c2580d665"
published: "2026-11-05T17:34:53.000Z"
score: 60
channel: "ai"
tags: ["RAG","USB Gym","Gymnasium Testbed","Closed-Loop Ultrasound View","Matching Background","Objective","Our","Published"]
---

# USB Gym: A Gymnasium Testbed for Closed-Loop Ultrasound View Matching

## At a glance

Background and Objective: Our main goal is ultrasound guidance: moving a probe until its image matches a target view. Published methods for each part of a guide are evaluated in separate simulators. We asked whether the…

## Key points

- Background and Objective: Our main goal is ultrasound guidance: moving a probe until its image matches a target view.
- Published methods for each part of a guide are evaluated in separate simulators.
- We asked whether these methods, combined into one guide, are good enough.

## Full text

Background and Objective: Our main goal is ultrasound guidance: moving a probe until its image matches a target view. Published methods for each part of a guide are evaluated in separate simulators. We asked whether these methods, combined into one guide, are good enough. Methods: We built USB Gym, a testbed whose standard engine simulates ultrasound from public patient CT, with a network drawing organ textures from CT labels. Its guide has three replaceable parts (slots), an organ segmenter, a controller and a reward, which received 20 published methods, each run on the same 60 episodes of six held-out patients. In each slot, a published method replaced ours only if detectably better on these patients. The better of this combination and our original guide on 20 new CTs is the benchmark baseline. A pose oracle, reading the exact probe pose available only in simulation, set the reference. The results below are exploratory. Results: On these CTs, the probe started on average 16.0 mm from the target view; the pose oracle brought it to 1.5 mm. Of the results known when the combination was fixed, only an image-similarity reward (SSIM) was slightly but detectably better, so the combination was our guide with that reward. This combination was the benchmark baseline, ending at 13.7 mm (16% of the oracle's progress). Conclusions: Combining untuned published methods with ours did not guide the probe near the target view; the task remains under-explored. The testbed accepts new methods; no guide was tested on hardware.

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