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pith:UEK76SPT

pith:2025:UEK76SPTPY5RDSIIQGVMGKOAYH
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Hadamard-Based Recursive Aperture Decoded Ultrasound Imaging (READI) With Estimated Motion-Compensated Compounding (EMC2) Using Top-Orthogonal to Bottom Electrode (TOBE) Arrays

Afshin Kashani Ilkhechi, Darren Dahunsi, Mohammad Rahim Sobhani, Negar Majidi, Randy Palamar, Roger Zemp, Tyler Keith Henry, Ying Wan

Recursive decoding with motion estimation restores high-resolution ultrasound images from moving probes.

arxiv:2509.08781 v4 · 2025-09-10 · eess.IV

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\pithnumber{UEK76SPTPY5RDSIIQGVMGKOAYH}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
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

READI with EMC2 applied to the TOBE-based FORCES sequence fully restores images corrupted by probe motion and recovers tissue speckle and boundaries in images of a beating heart phantom.

C2weakest assumption

That motion between the low-resolution READI sub-images can be estimated accurately enough from their differences to allow reliable warping and compounding without introducing new artifacts.

C3one line summary

READI with EMC2 restores high-resolution ultrasound images from motion-corrupted Hadamard-encoded TOBE array data by generating and aligning multiple low-resolution sub-images.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-06-05T01:15:16.008221Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a115ff49f37e3b11c90881aac329c0c1f9cd92a3b6b51e050b01db7119e4a252

Aliases

arxiv: 2509.08781 · arxiv_version: 2509.08781v4 · doi: 10.48550/arxiv.2509.08781 · pith_short_12: UEK76SPTPY5R · pith_short_16: UEK76SPTPY5RDSII · pith_short_8: UEK76SPT
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UEK76SPTPY5RDSIIQGVMGKOAYH \
  | 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: a115ff49f37e3b11c90881aac329c0c1f9cd92a3b6b51e050b01db7119e4a252
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "2338dfff60abf43b7a7f6ba6befa82be39179c08bad58f8b84c9b6f1b50bf16f",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.IV",
    "submitted_at": "2025-09-10T17:08:50Z",
    "title_canon_sha256": "8e644751a433a945ae244516c519c6c5d7f4782f1d40770855bae91b740e09b3"
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  "source": {
    "id": "2509.08781",
    "kind": "arxiv",
    "version": 4
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}