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PET Instrumentation and Reconstruction Algorithms in Whole-Body Applications*

Gabriele Tarantola, BE, Felicia Zito, MSc and Paolo Gerundini, MD

1 Department of Nuclear Medicine, Ospedale Maggiore di Milano, Istituto di Ricovero e Cura a Carattere Scientifico, Milano, Italy



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  		FIGURE 1. Graphic representation of true (A), scatter (B), and random events (C).

 


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  		FIGURE 2. Diagram illustrates noncollinearity effect in coincidence imaging.

 


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  		FIGURE 3. NECR profile comparisons between 2 BGO- and LSO-based systems in 3D mode.

 


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  		FIGURE 4. Comparison between 2D (A) and 3D (B) acquisition modality. Septa removal causes significant sensitivity improvement when moving radioactive sources toward center of FOV.

 


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  		FIGURE 5. Images represent curved crystal (A), block detector (B), and PIXELAR module (C).

 


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  		FIGURE 6. Graphic representation of full-ring (A) and partial-ring (B) dedicated PET scanner. (C) Fifteen-degree opposed matrix misalignment is visible.

 


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  		FIGURE 7. Comparison of 2D (A) and 3D (B) bed overlap whole-body studies. With same axial FOV, increased 3D overlap requires (as example) additional bed length to cover same axial length.

 


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  		FIGURE 8. Blobs distribution (represented as spheric elements) used for new-conception reconstruction algorithms.

 




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