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AI-based collimation optimization for X-ray imaging using depth cameras

delete2025-10-28
delete0
PRE
AI
D
Dominik Mairhöfer
M
Manuel Laufer
L
Lennart Berkel
M
Malte Maria Sieren
A
Arpad Bischof
E
Erhardt Barth
J
Jörg Barkhausen
T
Thomas Martinetz
DOI：10.1016/j.neucom.2025.131881delete
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Abstract

Abstract

En 中文
• Acquisition of two novel datasets from clinical practice. • Optimal collimations of different shapes can be precisely predicted. • Labeling the optimal collimation on the radiograph is beneficial.
Keywords:
Collimation
Depth images
Point clouds
Segmentation
Radiography
Clinical study
Depth camera

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

Organization

I
image information systems europe gmbh
Scholars:
1
Papers: 1
Citations: 0
U
University of Luebeck
Scholars:
18
Papers: 14
Citations: 0
U
university medical center schleswig-holstein
Scholars:
170
Papers: 71
Citations: 0
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