Markerless tracking of tumor and tissues: A motion model approach

The method combines the detailed structural information from planning 4DCT and real-time information from real-time x-ray images through a motion model. The matching between the real-time model estimation and 2D real-time images is performed in the same modality so that it can be applied to regions with low contrast in the images. The real-time images successfully corrected the initial motion model estimations in our proof-of-concept validation. This suggests the potential to perform markerless tracking in low-contrast region using a motion model.

Authors

Institutions

Publication Details

Journal
Medical Physics
Published
2024-11-15
DOI
https://doi.org/10.1002/mp.17524
Citations
1
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Markerless tracking of tumor and tissues: A motion model approach

Shinichiro Fujitaka, Naoki Miyamoto, Ling Fung Cheung, Takaaki Fujii et al.
1 citations
Medical Physics
Advanced Radiotherapy Techniques
0.61
article

Markerless tracking of tumor and tissues: A motion model approach

Shinichiro Fujitaka, Naoki Miyamoto, Ling Fung Cheung, Takaaki Fujii, Seishin Takao
article en
1 citations

Abstract

The method combines the detailed structural information from planning 4DCT and real-time information from real-time x-ray images through a motion model. The matching between the real-time model estimation and 2D real-time images is performed in the same modality so that it can be applied to regions with low contrast in the images. The real-time images successfully corrected the initial motion model estimations in our proof-of-concept validation. This suggests the potential to perform markerless tracking in low-contrast region using a motion model.

Medical PhysicsVol. 52(2)
Hokkaido University (JP), Hokkaido University Hospital (JP), Hitachi (Japan) (JP)
Good health and well-being
Openalex Percentile: Top 29%
Advanced Radiotherapy Techniques
0.61
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.