Paper
22 March 2010 Phase-selective image reconstruction of the lungs in small animals using micro-CT
S. M. Johnston, B. A. Perez, D. G. Kirsch M.D., C. T. Badea
Author Affiliations +
Abstract
Gating in small animal imaging can compensate for artifacts due to physiological motion. This paper presents a strategy for sampling and image reconstruction in the rodent lung using micro-CT. The approach involves rapid sampling of freebreathing mice without any additional hardware to detect respiratory motion. The projection images are analyzed postacquisition to derive a respiratory signal, which is used to provide weighting factors for each projection that favor a selected phase of the respiration (e.g. end-inspiration or end-expiration) for the reconstruction. Since the sampling cycle and the respiratory cycle are uncorrelated, the sets of projections corresponding to any of the selected respiratory phases do not have a regular angular distribution. This drastically affects the image quality of reconstructions based on simple filtered backprojection. To address this problem, we use an iterative reconstruction algorithm that combines the Simultaneous Algebraic Reconstruction Technique with Total Variation minimization (SART-TV). At each SART-TV iteration, backprojection is performed with a set of weighting factors that favor the desired respiratory phase. To reduce reconstruction time, the algorithm is implemented on a graphics processing unit. The performance of the proposed approach was investigated in simulations and in vivo scans of mice with primary lung cancers imaged with our in-house developed dual tube/detector micro-CT system. We note that if the ECG signal is acquired during sampling, the same approach could be used for phase-selective cardiac imaging.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. M. Johnston, B. A. Perez, D. G. Kirsch M.D., and C. T. Badea "Phase-selective image reconstruction of the lungs in small animals using micro-CT", Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76223G (22 March 2010); https://doi.org/10.1117/12.844359
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CITATIONS
Cited by 14 scholarly publications and 6 patents.
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KEYWORDS
Reconstruction algorithms

Lung

Tumors

In vivo imaging

Image restoration

Image analysis

Signal attenuation

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