Evidence map›Paper›PMID 37995364›Full record

ArticleBiomedical physics & engineering express2023

Resolution recovery on list mode MLEM reconstruction for dynamic cardiac SPECT system.

Yuemeng Feng, William Worstell, Matthew Kupinski, Lars R Furenlid, Hamid Sabet

Abstract read
In one paragraph

Article in Biomedical physics & engineering express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuemeng FengMartinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, United States of America.ORCID 0000-0001-5934-8894
William WorstellPicoRad Imaging LLC, Wayland, MA, United States of America.ORCID 0000-0003-1595-3384
Matthew KupinskiDepartment of Radiology, and College of Optical Sciences, University of Arizona, Tucson, AZ, United States of America.ORCID 0009-0004-7386-0500
Lars R FurenlidDepartment of Radiology, and College of Optical Sciences, University of Arizona, Tucson, AZ, United States of America.ORCID 0000-0002-6163-8839
Hamid SabetMartinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, United States of America.ORCID 0000-0002-6495-882X

Funding

High performance SPECT System for Cardiac ImagingR01HL145160 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SABET, HAMID · 2019 to 2023
$3.6M
NHLBI NIH HHS R01 HL145160
6 · The paper itself

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 resolution, the current version under development features 10 mm FWHM geometrical resolution (without resolution recovery) and 0.07% sensitivity at the center of the FOV, this is 1.5× resolution gain and 7× sensitivity gain compared to a conventional dual head gamma camera (0.01% sensitivity and 15-mm resolution). 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 the DC-SPECT. A spatial invariant PSF is included as an additional test to show the influence of the PSF modelling accuracy on reconstructed image quality. We compare the MLEM reconstruction with and without PSF deconvolution; an analytic model is used for the calculation of system response, and the results are compared to the reconstruction with system modelling using Monte Carlo (MC) based methods. Results show that with PSF modelling applied, the quality of the reconstructed image is improved, and the DC-SPECT system can achieve a 4.5 mm central spatial resolution with average 795 counts/Mbq. Both the SV-PSF and the spatial-invariant PSF improve the image quality, and the reconstruction with SV-PSF generates line profiles closer to the ground truth. The results show substantial improvement over the GE Discovery 570c performance (7 mm spatial resolution with an average 460 counts/MBq, 5.8 mm resolution at the FOV center). The impact of PSF deconvolution is significant, improvement of the reconstructed image quality is evident in comparison to MC simulated system matrix with the same sampling size in the simulation.

Indexed as

AlgorithmsImage Processing, Computer-AssistedPhantoms, ImagingPositron-Emission TomographyTomography, Emission-Computed, Single-PhotonDC-SPECTlist mode MLEMMC simulationPSF modelling

Identifiers

PMID37995364
PMCPMC11162156

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.