Medical image upsampling algorithm to reduce errors in grid-based ultrasound simulation
File(s)
Published version
Author(s)
Liu, Donny Liangpu
Xu, Rui
Xu, Rui
Type
Journal Article
Abstract
Clinical imaging resolution is often insufficient for accurate ultrasound simulation in personalised treatment planning. Naive image upsampling algorithms introduce artifacts that reduce simulation accuracy. We develop a Gaussian smoothing and mesh-based upsampling method and evaluate upsampled image fidelity and ultrasound simulation accuracy using an ex vivo high resolution human cervical vertebra volume obtained with hierarchical phase-contrast tomography, against linear and nearest
neighbour interpolation. The mesh-based method significantly and consistently reduced L2 and L∞ errors, and reduced focal errors with inconsistent significance. Medical image upsampling for ultrasound simulation should be completed with edge-aware
methods to improve accuracy.
neighbour interpolation. The mesh-based method significantly and consistently reduced L2 and L∞ errors, and reduced focal errors with inconsistent significance. Medical image upsampling for ultrasound simulation should be completed with edge-aware
methods to improve accuracy.
Editor(s)
Tu, Juan
Date Issued
2026-02-02
Date Acceptance
2026-01-16
Citation
JASA Express Letters, 2026, 6 (2)
ISSN
2691-1191
Publisher
AIP Publishing LLC
Journal / Book Title
JASA Express Letters
Volume
6
Issue
2
Copyright Statement
© 2026 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
10.1121/10.0042350
Publication Status
Published
Article Number
022001
Date Publish Online
2026-02-02