Joint CT reconstruction of anatomy and implants using a mixed prior model

The proposed mixed prior model coupled with a hybrid spectral and multiresolution model can help to separate spatially and spectrally distinct objects that differ from anatomical features in single-energy CT, improving both image quality and separate visualization of implants and anatomy.

Authors

Institutions

Publication Details

Journal
Journal of Medical Imaging
Published
2025-10-18
DOI
https://doi.org/10.1117/1.jmi.12.5.053502
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Joint CT reconstruction of anatomy and implants using a mixed prior model

Grace J. Gang, J. Webster Stayman, Xiao Jiang
Journal of Medical Imaging
Advanced X-ray and CT Imaging
article

Joint CT reconstruction of anatomy and implants using a mixed prior model

Grace J. Gang, J. Webster Stayman, Xiao Jiang
article en

Abstract

The proposed mixed prior model coupled with a hybrid spectral and multiresolution model can help to separate spatially and spectrally distinct objects that differ from anatomical features in single-energy CT, improving both image quality and separate visualization of implants and anatomy.

Journal of Medical ImagingVol. 12(05)
Johns Hopkins University (US), University of Pennsylvania (US)
Openalex Percentile: Top 71%
Advanced X-ray and CT 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.