Cerenkov luminescence imaging guided selective-reconstruction for a flexible dual-head PET. (7th April 2017)

• Record Type: Journal Article
• Authors: Yang, D.; Chen, X.; Zhang, C.; Wan, L.; Meng, F.; Xie, Q.; Liang, J.
• Is Part Of: Journal of instrumentation. Volume 12:Number 4(2017:Apr.)
• Page Start: P04005
• Page End: P04005
• Publication Date: 2017-04-07
• Subjects: Image reconstruction in medical imaging -- Medical-image reconstruction methods and algorithms, computer-aided diagnosis -- Medical-image reconstruction methods and algorithms, computer-aided software -- Multi-modality systems; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/12/04/P04005
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: Dual-head PET can simply and flexibilly adjust its architecture to fit the size of the imaging object, making it great potential for simultaneous multi-modality molecular imaging. In this paper, we proposed conceptally dual-modality imaging system of distance-adjustable dual-head PET and Cerenkov luminescence imaging (CLI), and implemented a CLI guided selective-reconstruction method. In the selective-reconstruction, we reconstructed the information inside a predefined region of interest using a fine voxel, whereas reconstructed other regions using a coarse voxel. We used CLI data as a priori information to outline the predefined region of interest. Simultaneously, for reducing the computaion burden, an attenuation map with a coarse voxel size was used for the attenuation correction. We demonstrated the feasibility and effectiveness of our proposed method with Monte Carlo based simulations by reconstructing phantom consisted of two hot rods. Experiment results show that an most improved efficiency over 70 times speedup with an MSE of 5.2235.