Evidence map›Paper›PMID 29276628›Full record

ArticleBiomedical physics & engineering express2017

Effect of slice excitation profile on ungated steady state cardiac perfusion imaging.

Haonan Wang, Edward V R DiBella, Ganesh Adluru, Daniel J Park, Meredith I Taylor, Neal K Bangerter

Abstract read
In one paragraph

Article in Biomedical physics & engineering express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Haonan WangDepartment of Electrical & Computer Engineering, Brigham Young University, Provo, UT, United States of America.
Edward V R DiBellaDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States of America.
Ganesh AdluruDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States of America.
Daniel J ParkDepartment of Electrical & Computer Engineering, Brigham Young University, Provo, UT, United States of America.
Meredith I TaylorDepartment of Electrical & Computer Engineering, Brigham Young University, Provo, UT, United States of America.
Neal K BangerterDepartment of Electrical & Computer Engineering, Brigham Young University, Provo, UT, United States of America.

Funding

Quantitative cardiac MRI perfusion for longitudinal studiesR01HL113224 · NHLBI · UNIVERSITY OF UTAH · PI DIBELLA, EDWARD VR · 2012 to 2015
$2.0M
NHLBI NIH HHS R01 HL113224
6 · The paper itself

Abstract

In cardiac perfusion imaging, choice of flip angle is an important factor for steady state acquisition. This work focuses on presenting an analytical framework for understanding how non-ideal slice excitation profiles affect contrast in ungated 2D steady state cardiac perfusion studies, and to study a technique for estimating flip angle that maximizes enhanced/unenhanced myocardial contrast-to-noise ratio (CNR) in single slice and multi-slice acquisitions. A numerical simulation of ungated 2D golden ratio radial spoiled gradient echo (SPGR) was created that takes into consideration the actual (Bloch simulated) slice excitation profile. The effect of slice excitation profile on myocardial CNR as a function of flip angle was assessed in phantoms and in-vivo. For fast RF pulses, the flip angle that yields maximum CNR (considering the actual slice excitation profile) was considerably higher than expected, assuming an ideal excitation. The simulation framework presented accurately predicts the flip angle yielding maximum CNR when the actual slice excitation profile is taken into consideration. The prescribed flip angle for optimal contrast in ungated 2D steady-state SPGR cardiac perfusion studies can vary significantly from that calculated when an ideal slice excitation profile is assumed. Consideration of the actual slice excitation can yield a more optimal flip angle estimate in both the single slice and multi-slice cases.

Indexed as

2D cardiac perfusionmulti-slicesaturation preparationslice profile

Identifiers

PMID29276628
PMCPMC5738031

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.