Evidence map›Paper›PMID 33065564›Full record

ArticlePhysics in medicine and biology2021

Inclusion of quasi-vertex views in a brain-dedicated multi-pinhole SPECT system for improved imaging performance.

Benjamin Auer, Navid Zeraatkar, Justin C Goding, Arda Könik, Timothy J Fromme, Kesava S Kalluri, 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 21 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 5 institutions in 1 country.

Benjamin AuerDepartment of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, United States of America.
Navid ZeraatkarDepartment of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, United States of America.
Justin C GodingDepartment of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, United States of America.
Arda KönikDepartment of Imaging, Dana Farber Cancer Institute, Boston, MA, 02215, United States of America.
Timothy J FrommeWorcester Polytechnic Institute, Worcester, MA, 01609, United States of America.
Kesava S KalluriDepartment of Radiology, University of Massachusetts Medical School, Worcester, MA, 01655, United States of America.
Lars R FurenlidWyant 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 Massachusetts Chan Medical School · USBanner - University Medical Center Tucson · USDana-Farber Cancer Institute · USUniversity of Arizona · USWorcester Polytechnic Institute · 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

With brain-dedicated multi-detector systems employing pinhole apertures the usage of detectors facing the top of the patient's head (i.e. quasi-vertex (QV) views) can provide the advantage of additional viewing from close to the brain for improved detector coverage. In this paper, we report the results of simulation and reconstruction studies to investigate the impact of the QV views on the imaging performance of AdaptiSPECT-C, a brain-dedicated stationary SPECT system under development. In this design, both primary and scatter photons from regions located inferior to the brain can contribute to SPECT projections acquired by the QV views, and thus degrade AdaptiSPECT-C imaging performance. In this work, we determined the proportion, origin, and nature (i.e. primary, scatter, and multiple-scatter) of counts emitted from structures within the head and throughout the body contributing to projections from the different AdaptiSPECT-C detector rings, as well as from a true vertex view detector. We simulated phantoms used to assess different aspects of image quality (i.e. uniform activity concentration sphere, and Derenzo), as well as anthropomorphic phantoms with different count levels emulating clinical

Indexed as

BrainComputer SimulationHumansImage Processing, Computer-AssistedPhantoms, ImagingPhotonsTomography, Emission-Computed, Single-Photon

Identifiers

PMID33065564
PMCPMC9899040
OpenAlexW3092867306

What OpenQuestion holds

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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.