Evidence map›Paper›PMID 26133633›Full record

ArticleMedical physics2015

Efficient imaging of midbrain nuclei using inverse double-echo steady-state acquisition.

Ming-Long Wu, Hing-Chiu Chang, Tzu-Cheng Chao, Nan-Kuei Chen

Abstract read
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In one paragraph

Article in Medical physics, 2015. 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

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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

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

4 authors.

Ming-Long WuDepartment of Computer Science and Information Engineering, National Cheng Kung University, No. 1, University Road, Tainan 70101, Taiwan and Institute of Medical Informatics, National Cheng Kung University, No. 1, University Road, Tainan 70101, Taiwan.
Hing-Chiu ChangBrain Imaging and Analysis Center, Duke University Medical Center, 2424 Erwin Road, Suite 501, Durham, North Carolina 27705 and Department of Diagnostic Radiology, The University of Hong Kong, Room 406, Block K, Queen Mary Hospital, Pok Fu Lam Road, Hong Kong.
Tzu-Cheng ChaoDepartment of Computer Science and Information Engineering, National Cheng Kung University, No. 1, University Road, Tainan 70101, Taiwan and Institute of Medical Informatics, National Cheng Kung University, No. 1, University Road, Tainan 70101, Taiwan.
Nan-Kuei ChenBrain Imaging and Analysis Center, Duke University Medical Center, 2424 Erwin Road, Suite 501, Durham, North Carolina 27705.

Funding

Imaging of Intrinsic Connectivity NetworksR01NS074045 · NINDS · DUKE UNIVERSITY · PI CHEN, NAN-KUEI · 2011 to 2015
$1.5M
Motion-immune neuro and body MRI for challenging patient populationsR21EB018419 · NIBIB · DUKE UNIVERSITY · PI CHEN, NAN-KUEI · 2014 to 2015
$435k
NIBIB NIH HHS R21 EB018419NINDS NIH HHS R01 NS074045NINDS NIH HHS R01-NS074045
6 · The paper itself

Abstract

purposeImaging of midbrain nuclei using T2- or T2*-weighted MRI often entails long echo time, leading to long scan time. In this study, an inverse double-echo steady-state (iDESS) technique is proposed for efficiently depicting midbrain nuclei.

methodsThirteen healthy subjects participated in this study. iDESS was performed along with two sets of T2*-weighted spoiled gradient-echo images (SPGR1, with scan time identical to iDESS and SPGR2, using clinical scanning parameters as a reference standard) for comparison. Generation of iDESS composite images combining two echo signals was optimized for maximal contrast-to-noise ratio (CNR) between the red nuclei and surrounding tissues. Signal-to-noise ratios (SNRs) were calculated from the occipital lobe. Comparison was also made using phase-enhanced images as in standard susceptibility-weighted imaging (SWI).

resultsThe iDESS images present significantly higher SNR efficiency (171.3) than SPGR1 (158.7, p = 0.013) and SPGR2 (95.5, p < 10(-8)). iDESS CNR efficiency (19.2) is also significantly greater than SPGR1 (6.9, p < 10(-6)) and SPGR2 (14.3, p = 0.0016). Compared with DESS, iDESS provides further advantage on enhanced phase information and hence improved contrast on SWI-processed images.

conclusionsiDESS efficiently depicts midbrain nuclei with improved CNR efficiency, increased SNR efficiency, and reduced scan time and is less prone to susceptibility signal loss from air-tissue interfaces.

Indexed as

AdultFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMesencephalonOccipital LobeYoung Adult

Identifiers

PMID26133633
PMCPMC4482811

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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.