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pith:N66O3UVF

pith:2026:N66O3UVF4K62PQKMAAKXTZD2BH
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Physics-Based iOCT Sonification for Real-time Interaction Awareness in Subretinal Injection

Andrea K. M. Ross, Koorosh Faridpooya, Luis D. Reyes Vargas, Merle Fairhurst, Michael Sommersperger, Mohammad Ali Nasseri, Nassir Navab, Sasan Matinfar, Shervin Dehghani, Veronica Ruozzi

A physics-based sonification system turns iOCT images into real-time sound cues for needle position and retinal deformation in subretinal injection.

arxiv:2605.14500 v1 · 2026-05-14 · cs.SD · cs.HC · eess.IV

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

In a controlled user study (n=34), the proposed sonification achieved high retinal layer identification accuracy and robust detection of retinal deformation-related events, significantly outperforming a state-of-the-art baseline in overall event identification (83.4% vs. 60.6%, p < 0.001), with gains driven primarily by enhanced detection of injection-induced retinal deformation.

C2weakest assumption

The assumption that the physics-inspired acoustic model driven by segmented retinal layers and needle motion accurately represents real tissue interactions and that results from the controlled user study will translate to live surgical conditions with actual patients and operating-room constraints.

C3one line summary

A physics-inspired sonification framework maps segmented iOCT retinal layers and needle motion to auditory signals, raising event identification accuracy from 60.6% to 83.4% in a 34-person user study for subretinal injection guidance.

References

28 extracted · 28 resolved · 0 Pith anchors

[1] 2025 IEEE International Conference on Robotics and Automation (ICRA) pp 2025
[2] 2025 International Symposium on Medical Robotics(ISMR)pp.66–72(2024),https://api.semanticscholar.org/CorpusID:274306241 2025
[3] International Journal of Computer Assisted Radiology and Surgery12, 1665–1676 (2017), https://api.semanticscholar.org/CorpusID:11833443 2017
[4] In: Applied Mathematical Sciences (1978), https://api.semanticscholar.org/CorpusID:122101452 1978
[5] 2023 IEEE International Conference on Robotics and Automation (ICRA) pp 2023

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Receipt and verification
First computed 2026-05-17T23:39:06.326066Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6fbcedd2a5e2bda7c14c001579e47a09f0f19f5eab5bd47d27cbec4d793c3c4f

Aliases

arxiv: 2605.14500 · arxiv_version: 2605.14500v1 · doi: 10.48550/arxiv.2605.14500 · pith_short_12: N66O3UVF4K62 · pith_short_16: N66O3UVF4K62PQKM · pith_short_8: N66O3UVF
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N66O3UVF4K62PQKMAAKXTZD2BH \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6fbcedd2a5e2bda7c14c001579e47a09f0f19f5eab5bd47d27cbec4d793c3c4f
Canonical record JSON
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    "submitted_at": "2026-05-14T07:44:53Z",
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