Medical image upsampling algorithm to reduce errors in grid-based ultrasound simulation
Year: 2026
Type: 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.
Source: JASA Express Letters
DOI: 10.1121/10.0042350
Authors: Donny Liangpu Liu, Rui Xu
Institutions: University College London, Imperial College London
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7127063780