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High temporal resolution and streak-free four-dimensional cone-beam computed tomography
- Source :
- Physics in Medicine and Biology. 53:5653-5673
- Publication Year :
- 2008
- Publisher :
- IOP Publishing, 2008.
-
Abstract
- Cone-beam computed tomography (CBCT) has been clinically used to verify patient position and to localize the target of treatment in image-guided radiation therapy (IGRT). However, when the chest and the upper abdomen are scanned, respiratory-induced motion blurring limits the utility of CBCT. In order to mitigate this blurring, respiratory-gated CBCT, i.e. 4D CBCT, was introduced. In 4D CBCT, the cone-beam projection data sets acquired during a gantry rotation are sorted into several respiratory phases. In these gated reconstructions, the number of projections for each respiratory phase is significantly reduced. Consequently, undersampling streaking artifacts are present in the reconstructed images, and the image contrast resolution is also significantly compromised. In this paper, we present a new method to simultaneously achieve both high temporal resolution ( approximately 100 ms) and streaking artifact-free image volumes in 4D CBCT. The enabling technique is a newly proposed image reconstruction method, i.e. prior image constrained compressed sensing (PICCS), which enables accurate image reconstruction using vastly undersampled cone-beam projections and a fully sampled prior image. Using PICCS, a streak-free image can be reconstructed from 10-20 cone-beam projections while the signal-to-noise ratio is determined by a denoising feature of the selected objective function and by the prior image, which is reconstructed using all of the acquired cone-beam projections. This feature of PICCS breaks the connection between the temporal resolution and streaking artifacts' level in 4D CBCT. Numerical simulations and experimental phantom studies have been conducted to validate the method.
- Subjects :
- Cone beam computed tomography
Streak
Iterative reconstruction
Sensitivity and Specificity
Article
Imaging, Three-Dimensional
Humans
Radiology, Nuclear Medicine and imaging
Computer vision
Image-guided radiation therapy
Physics
Radiological and Ultrasound Technology
Phantoms, Imaging
business.industry
Reproducibility of Results
Cone-Beam Computed Tomography
Radiographic Image Enhancement
Feature (computer vision)
Undersampling
Temporal resolution
Respiratory Mechanics
Radiographic Image Interpretation, Computer-Assisted
Artificial intelligence
business
Algorithms
Subjects
Details
- ISSN :
- 13616560 and 00319155
- Volume :
- 53
- Database :
- OpenAIRE
- Journal :
- Physics in Medicine and Biology
- Accession number :
- edsair.doi.dedup.....c46ad6a5e0089dcc71a5747b18e752b1