Journal article
A comparative study on interpolation methods for controlled cardiac CT
International journal of imaging systems and technology, Vol.17(2), pp.91-98
2007
DOI: 10.1002/ima.20101
Abstract
Bai et al. recently proposed to acquire random fan-beam/cone-beam projections with a linear/planar detector from a circular scanning locus for controlled cardiac computed tomography (CT). After specifying a uniform acquisition geometry required by FBP (filtration-backprojection), we rebin the random fan-beam/cone-beam data via nearest-neighbor, quadrilateral and triangle-based linear interpolation methods. The fan-beam and parallel-beam FBP algorithms are employed for rebinned fan-beam projections. The FDK (Feldkamp–Davis–Kress) and t-FDK (tent-FDK) methods are employed for rebinned cone-beam data. Also, nonuniform weighting fan-beam/FDK methods are used to reconstruct without rebinning. As a benchmark, the images are reconstructed using uniform weighting fan-beam/FDK method from data collected at the specified uniform grid. To evaluate the different methods, effects of increasing the number of projections and adding Poisson noise are studied. The root mean square error (RMSE) is used to quantify the image quality by numerical tests with the cardiac phantom. Our results show that it is helpful to perform data interpolation for improvements of the image quality in controlled cardiac CT from random projections. Our simulations indicate that triangular interpolation gives the most satisfactory result for improved image quality whereas quadrilateral interpolationgives the best noise performance.
Details
- Title: Subtitle
- A comparative study on interpolation methods for controlled cardiac CT
- Creators
- Deepak Bharkhada - Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Wake Forest University, Winston Salem, NC 27157Hengyong Yu - Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Virginia Tech., Blacksburg, VA 24061Kai Zeng - Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242Er-Wei Bai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, 52242Ge Wang - Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Wake Forest University, Winston Salem, NC 27157
- Resource Type
- Journal article
- Publication Details
- International journal of imaging systems and technology, Vol.17(2), pp.91-98
- Publisher
- Wiley Subscription Services, Inc., A Wiley Company
- DOI
- 10.1002/ima.20101
- ISSN
- 0899-9457
- eISSN
- 1098-1098
- Number of pages
- 8
- Language
- English
- Date published
- 2007
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083239502771
Metrics
32 Record Views