Impact of tint maps on radiomic texture features extracted from ultrasound images

This study investigates how different tints affect the extraction of radiomic texture features from ultrasound (US) images. Using data from a Philips Imaging unit and a CIRS phantom, four tints were applied to regions of interest with varying echogenicity. The analysis revealed that tints can influence the extraction of texture features, with certain tints affecting texture patterns more significantly, particularly at low contrast levels. Overall, the study highlights the potential significance of understanding the impact of tint on computer-aided diagnosis tasks and methods.

Authors

Institutions

Publication Details

Published
2025-02-13
DOI
https://doi.org/10.1117/12.3047454
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of tint maps on radiomic texture features extracted from ultrasound images

Ingrid Reiser, Esteban García Ramirez, Heather M. Whitney, Zheng Feng Lu
Radiomics and Machine Learning in Medical Imaging
article

Impact of tint maps on radiomic texture features extracted from ultrasound images

Ingrid Reiser, Esteban García Ramirez, Heather M. Whitney, Zheng Feng Lu
article en

Abstract

This study investigates how different tints affect the extraction of radiomic texture features from ultrasound (US) images. Using data from a Philips Imaging unit and a CIRS phantom, four tints were applied to regions of interest with varying echogenicity. The analysis revealed that tints can influence the extraction of texture features, with certain tints affecting texture patterns more significantly, particularly at low contrast levels. Overall, the study highlights the potential significance of understanding the impact of tint on computer-aided diagnosis tasks and methods.

University of Chicago (US)
Openalex Percentile: Top 96%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.