252047 Introduction: PET image reconstruction involves solving an inverse problem to estimate the spatial-temporal distribution of a radiotracer within the body from measured sinogram data.

Although, the two stand-alone and independent packages, nipet and nimpa, are dedicated to brain imaging, they can equally well be used for whole body imaging. Strong emphasis is put on the data, which ...

The wiring diagram and its data, freely available through the MICrONS Explorer, are 1.6 petabytes in size (equivalent to 22 years of non-stop HD video), and offer never-before-seen insight into ...

Image reconstruction from low-count positron emission tomography (PET) projection data is challenging because the inverse problem is ill-posed. Prior information can be used to improve image quality.

The Synthetic Memories project is helping families around the world reclaim a past that was never caught on camera.

To decide which region of the acquired data is usable for image reconstruction, phase-based motion gating and amplitude-based motion gating are both post-processing techniques used to address the ...

WHY USE AI FOR PET IMAGE RECONSTRUCTION? In applying AI to image reconstruction for PET, we are recognizing that PET image reconstruction actually needs help. First, improving spatial resolution and ...

An innovative approach to reconstruction, AiCE on the Cartesion Prime Digital PET/CT can provide fast exams at a lower dose with better image quality than traditionally acquired during both the ...

Image reconstruction is a fundamental part of PET allowing to generate 3D tomographic images of the tracer’s spatial distribution based on the position and timing of the detected annihilation ...