Resolution recovery on list mode MLEM reconstruction for Dynamic Cardiac SPECT system
Yuemeng Feng, William Worstell, Matthew Kupinski, Lars R Furenlid,, Hamid Sabet

TL;DR
This paper demonstrates that incorporating spatially variant point spread function (SV-PSF) deconvolution into list mode MLEM reconstruction significantly enhances resolution and image quality in the DC-SPECT system, surpassing conventional methods.
Contribution
It introduces a PSF deconvolution method with list mode MLEM for DC-SPECT, improving resolution recovery and image quality over existing approaches.
Findings
Achieved 4.5 mm spatial resolution at the center.
Significant image quality improvement with PSF modeling.
Outperformed GE Discovery 570c system in resolution and counts.
Abstract
The Dynamic Cardiac SPECT (DC-SPECT) system is being developed at the Massachusetts General Hospital, featuring a static cardio focus asymmetrical geometry enabling simultaneous high resolution and high sensitivity imaging. Among 14 design iterations of the DC-SPECT with varying number of detector heads, system sensitivity and system resolution, the current version being fabricated features 10 mm FWHM geometrical resolution (without resolution recovery) and 0.07% sensitivity; this is 1.5x resolution gain and 7x sensitivity gain compared to a conventional dual head gamma camera. This work presents improvement in imaging resolution by implementing a spatially variant point spread function (SV-PSF) with list mode MLEM reconstruction. A resolution recovery method by PSF deconvolution is validated on list mode MLEM reconstruction for DC-SPECT. A spatial invariant PSF is included as an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMedical Imaging Techniques and Applications · Advanced MRI Techniques and Applications · Cardiac Imaging and Diagnostics
