Evidence map›Paper›PMID 34349339›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering

C-arm cone beam CT perfusion imaging using the SMART-RECON algorithm to improve temporal sampling density and temporal resolution.

Yinsheng Li, Kai Niu, Ke Li, Sebastian Schafer, Kevin Royalty, Charles Strother, Guang-Hong Chen

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yinsheng LiDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705.
Kai NiuDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705.
Ke LiDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705.
Sebastian SchaferSiemens Medical Solutions, Hoffman Estates, IL 60192.
Kevin RoyaltySiemens Medical Solutions, Hoffman Estates, IL 60192.
Charles StrotherDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792.
Guang-Hong ChenDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705.

Funding

One Stop Shop Imaging for Acute Ischemic StrokeTreatmentU01EB021183 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI CHEN, GUANG-HONG · 2015 to 2020
$3.5M
NIBIB NIH HHS U01 EB021183
6 · The paper itself

Abstract

In this work, a newly developed reconstruction algorithm, Synchronized MultiArtifact Reduction with Tomographic RECONstruction (SMART-RECON), was applied to C-arm cone beam CT perfusion (CBCTP) imaging. This algorithm contains a special rank regularizer, designed to reduce limited-view artifacts associated with super-short scan reconstructions. As a result, high temporal sampling and temporal resolution image reconstructions were achieved using an interventional C-arm x-ray system. The algorithm was evaluated in terms of the fidelity of the dynamic contrast update curves and the accuracy of perfusion parameters through numerical simulation studies. Results shows that, not only were the dynamic curves accurately recovered (relative root mean square error ∈ [3%, 5%] compared with [13%, 22%] for FBP), but also the noise in the final perfusion maps was dramatically reduced. Compared with filtered backprojection, SMART-RECON generated CBCTP maps with much improved capability in differentiating lesions with perfusion deficits from the surrounding healthy brain tissues.

Identifiers

PMID34349339
PMCPMC8330516

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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.