Evidence map›Paper›PMID 30667069›Full record

ArticleMedical physics2019

Feasibility study of a point-of-care positron emission tomography system with interactive imaging capability.

Jianyong Jiang, Ke Li, Sergey Komarov, Joseph A O'Sullivan, Yuan-Chuan Tai

Abstract read
In one paragraph

Article in Medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 2D feasibility study of joint reconstruction of attenuation and activity in limited angle TOF-PET.IEEE transactions on radiation and plasma medical sciences · 2021
    Article
  6. Augmented Whole-Body Scanning via Magnifying PET.IEEE transactions on medical imaging · 2020
    Article
  7. 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.

Jianyong JiangMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MI, 63110, USA.
Ke LiDepartment of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MI, 63130, USA.
Sergey KomarovMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MI, 63110, USA.
Joseph A O'SullivanDepartment of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MI, 63130, USA.
Yuan-Chuan TaiMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MI, 63110, USA.

Funding

A Sub-Millimeter Resolution add-on for Animal PET scannersR01CA136554 · NCI · WASHINGTON UNIVERSITY · PI SIEGEL, STEFAN, TAI, YUAN-CHUAN · 2009 to 2013
$2.1M
HIGH PERFORMANCE BIOMEDICAL IMAGING COMPUTER RESOURCESS10RR022984 · NCRR · WASHINGTON UNIVERSITY · PI PRIOR, FRED WILLIAM · 2009 to 2009
$1.9M
IVIS LUMINA II XR FOR OPTICAL IMAGING OF RADIOPHARMACEUTICALSS10RR031625 · NCRR · WASHINGTON UNIVERSITY · PI TAI, YUAN-CHUAN · 2011 to 2011
$218k
Department of Energy DE-SC0005157National Institute of Health R01CA136554NCI NIH HHS R01 CA136554NCRR NIH HHS S10 RR022984NCRR NIH HHS S10 RR031625NIH HHS RR022984NIH HHS RR031625
6 · The paper itself

Abstract

purposeWe investigated the feasibility of a novel positron emission tomography (PET) system that provides near real-time feedback to an operator who can interactively scan a patient to optimize image quality. The system should be compact and mobile to support point-of-care (POC) molecular imaging applications. In this study, we present the key technologies required and discuss the potential benefits of such new capability.

methodsThe core of this novel PET technology includes trackable PET detectors and a fully three-dimensional, fast image reconstruction engine implemented on multiple graphics processing units (GPUs) to support dynamically changing geometry by calculating the system matrix on-the-fly using a tube-of-response approach. With near real-time image reconstruction capability, a POC-PET system may comprise a maneuverable front PET detector and a second detector panel which can be stationary or moved synchronously with the front detector such that both panels face the region-of-interest (ROI) with the detector trajectory contoured around a patient's body. We built a proof-of-concept prototype using two planar detectors each consisting of a photomultiplier tube (PMT) optically coupled to an array of 48 × 48 lutetium-yttrium oxyorthosilicate (LYSO) crystals (1.0 × 1.0 × 10.0 mm

resultsThe proof-of-concept prototype re-solves most of the spherical lesions despite a limited number of coincidence events and incomplete sampling. TOF information reduces artifacts in the reconstructed images. Systems with better timing resolution exhibit improved image quality and reduced artifacts. We observed a reconstruction speed of 0.96 × 10

conclusionsWe have developed GPU-based fast image reconstruction capability to support a PET system with arbitrary and dynamically changing geometry. Using TOF PET detectors, we demonstrated the feasibility of a PET system that can provide timely visual feedback to an operator who can scan a patient interactively to support POC imaging applications.

Indexed as

Phantoms, ImagingPoint-of-Care SystemsComputer SimulationFeasibility StudiesHumansImage Processing, Computer-AssistedMonte Carlo MethodNeoplasmsPositron-Emission TomographyGPU reconstructioninteractive PET Imagingpoint-of- care applicationtime-of-flight PET

Identifiers

PMID30667069
PMCPMC6453727

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Registered trials

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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.