Evidence map›Paper›PMID 33352545›Full record

ArticlePhysics in medicine and biology2021

Improvement in sampling and modulation of multiplexing with temporal shuttering of adaptable apertures in a brain-dedicated multi-pinhole SPECT system.

Navid Zeraatkar, Benjamin Auer, Kesava S Kalluri, Micaehla May, Neil C Momsen, R Garrett Richards, Lars R Furenlid, Phillip H Kuo, Michael A King

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Navid ZeraatkarDepartment of Biomedical Engineering, University of California Davis, Davis, CA 95616, United States of America.ORCID 0000-0003-3751-4753
Benjamin AuerDepartment of Radiology, University of Massachusetts Medical School, Worcester, MA 01655, United States of America.
Kesava S KalluriDepartment of Radiology, University of Massachusetts Medical School, Worcester, MA 01655, United States of America.
Micaehla MayJames C. Wyant College of Optical Sciences, University of Arizona, Tucson, AZ 85721, United States of America.
Neil C MomsenJames C. Wyant College of Optical Sciences, University of Arizona, Tucson, AZ 85721, United States of America.
R Garrett RichardsJames C. Wyant College of Optical Sciences, University of Arizona, Tucson, AZ 85721, United States of America.
Lars R FurenlidJames C. Wyant College of Optical Sciences, University of Arizona, Tucson, AZ 85721, United States of America.
Phillip H KuoDepartment of Medical Imaging, University of Arizona, Tucson, AZ 85724, United States of America.
Michael A KingDepartment of Radiology, University of Massachusetts Medical School, Worcester, MA 01655, United States of America.
University of Arizona · USUniversity of Massachusetts Chan Medical School · USBanner - University Medical Center Tucson · US

Funding

Upgrading AdaptiSPECT-C for High Spatial Resolution Imaging of Brain Lymphatics and Vasculature to Advance Therapies for Alzheimer’s DiseaseR01EB022521 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FURENLID, LARS R, KING, MICHAEL A · 2016 to 2021
$5.5M
NIBIB NIH HHS R01 EB022521
6 · The paper itself

Abstract

We are developing a multi-detector pinhole-based stationary brain-dedicated SPECT system: AdaptiSPECT-C. In this work, we introduced a new design prototype with multiple adaptable pinhole apertures for each detector to modulate the multiplexing by employing temporal shuttering of apertures. Temporal shuttering of apertures over the scan time provides the AdaptiSPECT-C with the capability of multiple-frame acquisition. We investigated, through analytic simulation, the impact of projection multiplexing on image quality using several digital phantoms and a customized anthropomorphic phantom emulating brain perfusion clinical distribution. The 105 pinholes in the collimator of the system were categorized into central, axial, and lateral apertures. We generated, through simulation, collimators of different multiplexing levels. Several data acquisition schemes were also created by changing the imaging time share of the acquisition frames. Sensitivity increased by 35% compared to the single-pinhole-per-detector base configuration of the AdaptiSPECT-C when using the central, axial, and lateral apertures with equal acquisition time shares within a triple-frame scheme with a high multiplexing scenario. Axial and angular sampling of the base configuration was enhanced by adding the axial and lateral apertures. We showed that the temporal shuttering of apertures can be exploited, trading the sensitivity, to modulate the multiplexing and to acquire a set of non-multiplexed non-truncated projections. Our results suggested that reconstruction benefited from utilizing both non-multiplexed projections and projections with modulated multiplexing resulting in a noticeably reduction in the multiplexing-induced image artefacts. Contrast recovery factor improved by 20% (9%) compared to the base configuration for a Defrise (hot-rod) phantom study when the central and axial (lateral) apertures with equal time shares were combined. The results revealed that, as an overall trend at each simulated multiplexing level, lowest normalized root-mean-square errors for the brain gray-matter regions were achieved with the combined usage of the central apertures and axial/lateral apertures.

Indexed as

ArtifactsPhantoms, ImagingAnthropometryBrainComputer SimulationHumansImage Processing, Computer-AssistedPerfusionTime FactorsTomography, Emission-Computed, Single-Photon

Identifiers

PMID33352545
PMCPMC9893699
OpenAlexW3116928966

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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.