Computationally efficient x‐ray simulation framework using parameterized material attenuation models in anatomically detailed imaging

The proposed framework achieves accurate and efficient simulation of material attenuation in x-ray imaging, especially in anatomically complex scenarios. Validated in both breast and whole-body imaging, it offers a robust and efficient alternative to conventional methods, supporting the development of advanced virtual clinical trials and spectral imaging research.

Authors

Institutions

Publication Details

Journal
Medical Physics
Published
2026-01-01
DOI
https://doi.org/10.1002/mp.70255
Primary Topic
Digital Radiography and Breast Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computationally efficient x‐ray simulation framework using parameterized material attenuation models in anatomically detailed imaging

Koen Michielsen, Ioannis Sechopoulos, Mikhail Mikerov, Martina Nassi
Medical Physics
Digital Radiography and Breast Imaging
article

Computationally efficient x‐ray simulation framework using parameterized material attenuation models in anatomically detailed imaging

Koen Michielsen, Ioannis Sechopoulos, Mikhail Mikerov, Martina Nassi
article en

Abstract

The proposed framework achieves accurate and efficient simulation of material attenuation in x-ray imaging, especially in anatomically complex scenarios. Validated in both breast and whole-body imaging, it offers a robust and efficient alternative to conventional methods, supporting the development of advanced virtual clinical trials and spectral imaging research.

Medical PhysicsVol. 53(1)
Radboud University Nijmegen (NL), Radboud University Medical Center (NL), Dutch Expert Centre for Screening (NL), University of Twente (NL)
Openalex Percentile: Top 93%
Digital Radiography and Breast 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.

Computationally efficient x‐ray simulation framework using parameterized material attenuation models in anatomically detailed imaging — Koen Michielsen, Ioannis Sechopoulos, et al. · Medical Physics (2026) | TGRS Research Map | TGRS