Back to Search
Start Over
Prediction of target position from multiple fiducial markers by partial least squares regression in real-time tumor-tracking radiation therapy
- Source :
- Journal of Radiation Research
- Publication Year :
- 2021
- Publisher :
- Oxford University Press, 2021.
-
Abstract
- The purpose of this work is to show the usefulness of a prediction method of tumor location based on partial least squares regression (PLSR) using multiple fiducial markers. The trajectory data of respiratory motion of four internal fiducial markers inserted in lungs were used for the analysis. The position of one of the four markers was assumed to be the tumor position and was predicted by other three fiducial markers. Regression coefficients for prediction of the position of the tumor-assumed marker from the fiducial markers’ positions is derived by PLSR. The tracking error and the gating error were evaluated assuming two possible variations. First, the variation of the position definition of the tumor and the markers on treatment planning computed tomograhy (CT) images. Second, the intra-fractional anatomical variation which leads the distance change between the tumor and markers during the course of treatment. For comparison, rigid predictions and ordinally multiple linear regression (MLR) predictions were also evaluated. The tracking and gating errors of PLSR prediction were smaller than those of other prediction methods. Ninety-fifth percentile of tracking/gating error in all trials were 3.7/4.1 mm, respectively in PLSR prediction for superior–inferior direction. The results suggested that PLSR prediction was robust to variations, and clinically applicable accuracy could be achievable for targeting tumors.
- Subjects :
- Percentile
Health, Toxicology and Mutagenesis
Radiography, Interventional
Tracking (particle physics)
Oncology/Medicine
030218 nuclear medicine & medical imaging
Tracking error
Motion
03 medical and health sciences
Imaging, Three-Dimensional
0302 clinical medicine
Computer Systems
Fiducial Markers
Position (vector)
Neoplasms
Linear regression
Partial least squares regression
Image Processing, Computer-Assisted
Humans
Radiology, Nuclear Medicine and imaging
Diagnostic Errors
Four-Dimensional Computed Tomography
Least-Squares Analysis
Mathematics
Radiation
real-time tumor-tracking radiation therapy
business.industry
Radiotherapy Planning, Computer-Assisted
Respiration
fiducial marker
Pattern recognition
Fluoroscopy
030220 oncology & carcinogenesis
tracking irradiation
Linear Models
Trajectory
AcademicSubjects/SCI00960
gating irradiation
AcademicSubjects/MED00870
Artificial intelligence
Fiducial marker
business
partial least squares regression (PLSR)
Subjects
Details
- Language :
- English
- ISSN :
- 04493060
- Volume :
- 62
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Journal of Radiation Research
- Accession number :
- edsair.doi.dedup.....d84c409374a5c60b764289eaa7671e7b