Evidence map›Paper›PMID 29348983›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2017

Sparse domain approaches in dynamic SPECT imaging with high-performance computing.

Hui Pan, Haoran Chang, Debasis Mitra, Grant T Gullberg, Youngho Seo

Abstract read
PubMed Full text at PMC
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Pre-clinical SPECT and SPECT-CT in Oncology.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
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.

Hui PanSchool of Computing, Florida Institute of TechnologyMelbourne, FL 32901, USA.
Haoran ChangSchool of Computing, Florida Institute of TechnologyMelbourne, FL 32901, USA.
Debasis MitraSchool of Computing, Florida Institute of TechnologyMelbourne, FL 32901, USA.
Grant T GullbergDepartment of Radiology and Biomedical Imaging, University of CaliforniaSan Francisco, CA 94143, USA.
Youngho SeoDepartment of Radiology and Biomedical Imaging, University of CaliforniaSan Francisco, CA 94143, USA.

Funding

DYNAMIC CARDIAC SPECT IMAGINGR01HL050663 · NHLBI · UNIVERSITY OF UTAH · PI GULLBERG, GRANT T · 1995 to 2014
$7.0M
Molecular Imaging of Cardiac Hypertrophy Using microPET and Pinhole SPECTR01EB007219 · NIBIB · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI GULLBERG, GRANT T · 2008 to 2011
$3.0M
Dynamic cardiac SPECTR01HL135490 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GULLBERG, GRANT T, SEO, YOUNGHO · 2017 to 2020
$2.4M
Pretherapy 124I-MIBG Dosimetry for Planning 131I-MIBG Neuroblastoma TherapyR01CA154561 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SEO, YOUNGHO · 2011 to 2016
$1.9M
NCI NIH HHS R01 CA154561NHLBI NIH HHS R01 HL050663NHLBI NIH HHS R01 HL135490NIBIB NIH HHS R01 EB007219
6 · The paper itself

Abstract

Iterative reconstruction algorithms often have relatively large computation time affecting their clinical deployment. This is especially true for 4D reconstruction in dynamic imaging (DI). In this work, we have shown how sparse domain approaches and parallelization for static 3D image reconstruction and 4D dynamic image reconstruction (directly from sinogram) in Single Photon Emission Computed Tomography (SPECT), without any intermediate 3D reconstructions, can improve computational efficiency. DI in SPECT is one of the hardest inverse problems in medical image reconstruction area and slow reconstruction is a challenge for this promising protocol. Our work hopefully, paves a new direction toward making DI in SPECT clinically viable. Our 4D reconstruction also is a novel application of non-negative matrix factorization (NNMF) in an inverse problem.

Indexed as

4D reconstructiondynamic SPECTGPU-based reconstructionhigh performance computingpre-clinicalSparse image reconstruction

Identifiers

PMID29348983
PMCPMC5768923

What OpenQuestion holds

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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.