Evaluating artifact effects in threat image projection for X-ray baggage screening and strategies for improvement

Many airports worldwide employ threat image projection (TIP) that occasionally projects prerecorded threat items (e.g., bombs) into X-ray images of passenger baggage to enhance and monitor security officers’ detection performance. However, some TIP-generated images appear artificial, potentially undermining the effectiveness of TIP. We conducted a simulated screening task with security officers using TIP images from an international airport. We applied path modeling to analyze how TIP artifacts affect threat detection and interact with other image characteristics. We found that threats aligning poorly with other items increased threat detection. Furthermore, artifacts occurred more often when the threat items were projected onto less complex bags or loose items in a tray. TIP should still be effective, because artifacts only occurred in every sixth image and showed a small impact on threat detection compared to other factors. To increase TIP effectiveness, projection onto baggage images with moderate complexity can significantly reduce artifacts while producing more realistic threat images.

Authors

Publication Details

Journal
Institutional Repository (IHS Vienna)
Published
2025-12-17
DOI
https://doi.org/10.26041/fhnw-14908
Primary Topic
Radiology practices and education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating artifact effects in threat image projection for X-ray baggage screening and strategies for improvement

Adrian Schwaninger, Yanik Sterchi, Robin Riz à Porta
Institutional Repository (IHS Vienna)
Radiology practices and education
article

Evaluating artifact effects in threat image projection for X-ray baggage screening and strategies for improvement

Adrian Schwaninger, Yanik Sterchi, Robin Riz à Porta
article en

Abstract

Many airports worldwide employ threat image projection (TIP) that occasionally projects prerecorded threat items (e.g., bombs) into X-ray images of passenger baggage to enhance and monitor security officers’ detection performance. However, some TIP-generated images appear artificial, potentially undermining the effectiveness of TIP. We conducted a simulated screening task with security officers using TIP images from an international airport. We applied path modeling to analyze how TIP artifacts affect threat detection and interact with other image characteristics. We found that threats aligning poorly with other items increased threat detection. Furthermore, artifacts occurred more often when the threat items were projected onto less complex bags or loose items in a tray. TIP should still be effective, because artifacts only occurred in every sixth image and showed a small impact on threat detection compared to other factors. To increase TIP effectiveness, projection onto baggage images with moderate complexity can significantly reduce artifacts while producing more realistic threat images.

Institutional Repository (IHS Vienna)
Openalex Percentile: Top 29%
Radiology practices and education
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.

Evaluating artifact effects in threat image projection for X-ray baggage screening and strategies for improvement — Adrian Schwaninger, Yanik Sterchi, et al. · Institutional Repository (IHS Vienna) (2025) | TGRS Research Map | TGRS