The long term objective of this project is to solve the truncation problem in cone-beam tomography, and to implement and freely distribute image reconstruction software suitable for the most common cone-beam imaging configurations.
The specific aims are: 1) to devise, implement, and make publicly available, fast accurate image reconstruction code for cone-beam computed tomography (CBCT) geometries where the source and detector rotate once (or slightly more than once) about the patient, and the projections are always truncated axially (and may also be truncated transaxially), 2) to devise, implement, and make publicly available, fast accurate image reconstruction code for CBCT geometries tailored to C-arm based CT with projections measured over an angular range of about 180 degrees, and with relevant patterns of truncation, and 3) to design and implement simple practical calibration methods from which geometric reconstruction parameters are automatically obtained and passed to the reconstruction algorithms for the scanner configurations of aims 1 and 2. The methods involve devising algorithms that are impervious to the propagation of false information that is normally concomitant with truncated projection data. Six cone-beam configurations will be considered, and algorithms will be devised by assembling fundamental mathematical tools which have been successful in solving certain specific cone-beam truncation problems in the past. The algorithms will be tested with computer simulated data and phantom measurements from benchtop and physical scanners. Automated calibration will be devised by extending existing analytic approaches, and tested against chi-squared approaches using simulated and real data. The health benefits of this project relate to the transition of cone-beam tomography from its current status as primarily a high-contrast imaging tool to a fast, quantitative, volume imaging modality with widespread applications in image guidance and diagnosis.
| Hoppe, Stefan; Hornegger, Joachim; Dennerlein, Frank et al. (2012) Accurate image reconstruction using real C-arm data from a Circle-plus-arc trajectory. Int J Comput Assist Radiol Surg 7:73-86 |
| Bartolac, Steven; Clackdoyle, Roll; Noo, Frederic et al. (2009) A local shift-variant Fourier model and experimental validation of circular cone-beam computed tomography artifacts. Med Phys 36:500-12 |
| Mennessier, C; Clackdoyle, R; Noo, F (2009) Direct determination of geometric alignment parameters for cone-beam scanners. Phys Med Biol 54:1633-60 |
| Wunderlich, Adam; Noo, Frederic (2008) Evaluation of image noise in fan-beam x-ray computed tomography. Conf Proc IEEE Eng Med Biol Soc 2008:2713-6 |
| Wunderlich, Adam; Noo, Frederic (2008) Evaluation of the impact of tube current modulation on lesion detectability using model observers. Conf Proc IEEE Eng Med Biol Soc 2008:2705-8 |
| Hoppe, Stefan; Hornegger, Joachim; Lauritsch, Gunter et al. (2008) Truncation correction for oblique filtering lines. Med Phys 35:5910-20 |
| Wunderlich, Adam; Noo, Frederic (2008) Image covariance and lesion detectability in direct fan-beam x-ray computed tomography. Phys Med Biol 53:2471-93 |
| Dennerlein, Frank; Noo, Frederic; Schondube, Harald et al. (2008) A factorization approach for cone-beam reconstruction on a circular short-scan. IEEE Trans Med Imaging 27:887-96 |
| Courdurier, M; Noo, F; Defrise, M et al. (2008) SOLVING THE INTERIOR PROBLEM OF COMPUTED TOMOGRAPHY USING A PRIORI KNOWLEDGE. Inverse Probl 24:65001 |
| Hoppe, Stefan; Noo, Frederic; Dennerlein, Frank et al. (2007) Geometric calibration of the circle-plus-arc trajectory. Phys Med Biol 52:6943-60 |
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