Optimization of the reconstruction kernel for temporal bone imaging using photon-counting detector CT: A combined physical and visual evaluation

These findings support the use of Hr76 as a standard kernel for high-resolution temporal bone imaging and may contribute to protocol optimization in clinical PCD-CT practice.

Authors

Institutions

Publication Details

Journal
Radiography
Published
2025-12-11
DOI
https://doi.org/10.1016/j.radi.2025.103274
Citations
1
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of the reconstruction kernel for temporal bone imaging using photon-counting detector CT: A combined physical and visual evaluation

Takao Hiraki, Noriaki Akagi, Hiroaki Hayashi, Kazuaki Munetomo et al.
1 citations
Radiography
Advanced X-ray and CT Imaging
0.67
article

Optimization of the reconstruction kernel for temporal bone imaging using photon-counting detector CT: A combined physical and visual evaluation

Takao Hiraki, Noriaki Akagi, Hiroaki Hayashi, Kazuaki Munetomo, Fumiyo Higaki, Toshihiro Iguchi, Akiko Sugaya, Masayuki Honda, Takashi Asahara, Yusuke Morimitsu, Shunji Nishii, S Kajisaki
article en
1 citations

Abstract

These findings support the use of Hr76 as a standard kernel for high-resolution temporal bone imaging and may contribute to protocol optimization in clinical PCD-CT practice.

RadiographyVol. 32(2)
Kanazawa University (JP), Okayama University of Science (JP), Okayama University (JP), Okayama University Hospital (JP), Okayama Medical Center (JP)
Openalex Percentile: Top 24%
Advanced X-ray and CT Imaging
0.67
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.