Dynamic PET image reconstruction integrating temporal regularization associated with respiratory motion correction for applications in oncology.

Dynamic PET image reconstruction integrating temporal regularization associated with respiratory motion correction for applications in oncology. Phys Med Biol. 2018 Jan 17;: Authors: Merlin T, Visvikis D, Fernandez P, Lamare F Abstract Respiratory motion reduces both the qualitative and quantitative accuracy of PET images in oncology. This impact is more significant for quantitative applications based on kinetic modeling, where dynamic acquisitions are associated with limited statistics due to the necessity of enhanced temporal resolution. The aim of this study is to address these drawbacks by combining within a unique reconstruction algorithm in dynamic PET imaging, a respiratory motion correction approach, as well as a temporal regularization. Elastic transformation parameters for the motion correction are estimated from the non-attenuation corrected PET images. The derived displacement matrices are subsequently used in a list-mode based OSEM reconstruction algorithm integrating a temporal regularization between the 3D dynamic PET frames based on temporal basis functions. These functions are simultaneously estimated at each iteration along with their relative coefficients for each image voxel. Quantitative evaluation was performed using dynamic FDG PET/CT acquisitions of lung cancer patients acquired on a GE DRX system. The proposed method was compared with the performance of a standard multi-frame OSEM reconstruction algorithm. T...
Source: Physics in Medicine and Biology - Category: Physics Authors: Tags: Phys Med Biol Source Type: research

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