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Simulating Vein Compressibility for Ultrasound-Guided Femoral Access: Speed, Accuracy, and Phantom Validation

1 reports1 reporting sourcesUpdated 2 days ago

Overview

Event synthesis

This research presents a physics-based simulation in NVIDIA Isaac Sim for Healthcare designed to reproduce tissue deformation during ultrasound-guided femoral access.

Generated from attributed reports · Updated 5 hours ago

Event evidence and corrections

0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.

Environment: simulation
Supporting report

“in NVIDIA's Isaac Sim for Healthcare, with Stable Neo-Hookean tissue solved by Vertex Block Descent on one GPU. A simulation of a low-fidelity cylindrical benchtop phantom with known geometry and mechanical properties, pressed by a robot, predicted its artery within 5 percentage points at every depth. It matched the vein within 3 points through 11 mm of a 25.4 mm press and followed the collapse behavior of the low-fi”

Exact source · revision 1

Source owner not reported

Reported quantity · solver time per frame: 30.4 other · Basis not reported
Supporting report

“delity physical phantom. Across element size, time step, and solver iterations, wall clock time per frame scaled linearly with solver work, but accuracy did not improve with more work. The chosen setting reduced solver time per frame by a factor of 976, from 29,700 ms to 30.4 ms, while remaining within 1.03 points of the finest reference setting. The physics solver alone took 30.4 ms per frame, while the full stack,”

Exact source · revision 1

Source owner not reported

Reported quantity · accuracy deviation from finest reference: 1.03 other · Basis not reported
Supporting report

“delity physical phantom. Across element size, time step, and solver iterations, wall clock time per frame scaled linearly with solver work, but accuracy did not improve with more work. The chosen setting reduced solver time per frame by a factor of 976, from 29,700 ms to 30.4 ms, while remaining within 1.03 points of the finest reference setting. The physics solver alone took 30.4 ms per frame, while the full stack,”

Exact source · revision 1

Source owner not reported

Reported quantity · time reduction factor: 976 other · Basis not reported
Supporting report

“delity physical phantom. Across element size, time step, and solver iterations, wall clock time per frame scaled linearly with solver work, but accuracy did not improve with more work. The chosen setting reduced solver time per frame by a factor of 976, from 29,700 ms to 30.4 ms, while remaining within 1.03 points of the finest reference setting. The physics solver alone took 30.4 ms per frame, while the full stack,”

Exact source · revision 1

Source owner not reported

Reported quantity · press depth: 11 other · Basis not reported
Supporting report

“in NVIDIA's Isaac Sim for Healthcare, with Stable Neo-Hookean tissue solved by Vertex Block Descent on one GPU. A simulation of a low-fidelity cylindrical benchtop phantom with known geometry and mechanical properties, pressed by a robot, predicted its artery within 5 percentage points at every depth. It matched the vein within 3 points through 11 mm of a 25.4 mm press and followed the collapse behavior of the low-fi”

Exact source · revision 1

Source owner not reported

Reported quantity · phantom diameter: 25.4 other · Basis not reported
Supporting report

“in NVIDIA's Isaac Sim for Healthcare, with Stable Neo-Hookean tissue solved by Vertex Block Descent on one GPU. A simulation of a low-fidelity cylindrical benchtop phantom with known geometry and mechanical properties, pressed by a robot, predicted its artery within 5 percentage points at every depth. It matched the vein within 3 points through 11 mm of a 25.4 mm press and followed the collapse behavior of the low-fi”

Exact source · revision 1

Source owner not reported

Report timeline

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11/10
  1. arXiv Robotics — research abstractsSignal
    Simulating Vein Compressibility for Ultrasound-Guided Femoral Access: Speed, Accuracy, and Phantom Validation

    This research presents a physics-based simulation in NVIDIA Isaac Sim for Healthcare designed to reproduce tissue deformation during ultrasound-guided femoral access.

Event coverage history

There is not enough continuous observation data to show a trend.

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