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000278071 1001_ $$00009-0006-9724-0626$$aFortin, Marc-Antoine$$b0
000278071 245__ $$aMPRAGElike: A novel approach to generate T1w images from multi-contrast gradient echo images for brain segmentation.
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000278071 520__ $$aBrain segmentation and multi-parameter mapping (MPM) are important steps in neurodegenerative disease characterization. However, acquiring both a high-resolution T1w sequence like MPRAGE (standard input to brain segmentation) and an MPM in the same neuroimaging protocol increases scan time and patient discomfort, making it difficult to combine both in clinical examinations.A novel approach to synthesize T1w images from MPM images, named MPRAGElike, is proposed and compared to the standard technique used to produce synthetic MPRAGE images (synMPRAGE). Twenty-three healthy subjects were scanned with the same imaging protocol at three different 7T sites using universal parallel transmit RF pulses. SNR, CNR, and automatic brain segmentation results from both MPRAGElike and synMPRAGE were compared against an acquired MPRAGE.The proposed MPRAGElike technique produced higher SNR values than synMPRAGE for all regions evaluated while also having higher CNR values for subcortical structures. MPRAGE was still the image with the highest SNR values overall. For automatic brain segmentation, MPRAGElike outperformed synMPRAGE when compared to MPRAGE (median Dice Similarity Coefficient of 0.90 versus 0.29 and Average Asymmetric Surface Distance of 0.33 versus 2.93 mm, respectively), in addition to being simple, flexible, and considerably more robust to low image quality than synMPRAGE.The MPRAGElike technique can provide a better and more reliable alternative to synMPRAGE as a substitute for MPRAGE, especially when automatic brain segmentation is of interest and scan time is limited.
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000278071 650_7 $$2Other$$aUHF‐MRI
000278071 650_7 $$2Other$$abrain segmentation
000278071 650_7 $$2Other$$amulti‐contrast
000278071 650_7 $$2Other$$amulti‐parameter mapping
000278071 650_7 $$2Other$$aneuroimaging
000278071 650_7 $$2Other$$asynthetic MPRAGE
000278071 650_2 $$2MeSH$$aHumans
000278071 650_2 $$2MeSH$$aBrain: diagnostic imaging
000278071 650_2 $$2MeSH$$aBrain: anatomy & histology
000278071 650_2 $$2MeSH$$aMale
000278071 650_2 $$2MeSH$$aAdult
000278071 650_2 $$2MeSH$$aFemale
000278071 650_2 $$2MeSH$$aAlgorithms
000278071 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000278071 650_2 $$2MeSH$$aImage Processing, Computer-Assisted: methods
000278071 650_2 $$2MeSH$$aImage Interpretation, Computer-Assisted: methods
000278071 650_2 $$2MeSH$$aReproducibility of Results
000278071 650_2 $$2MeSH$$aImage Enhancement: methods
000278071 650_2 $$2MeSH$$aSignal-To-Noise Ratio
000278071 650_2 $$2MeSH$$aSensitivity and Specificity
000278071 7001_ $$0P:(DE-2719)2810697$$aStirnberg, Rüdiger$$b1
000278071 7001_ $$0P:(DE-2719)2811521$$aVölzke, Yannik$$b2
000278071 7001_ $$00000-0002-8930-7337$$aLamalle, Laurent$$b3
000278071 7001_ $$0P:(DE-2719)2810559$$aPracht, Eberhard$$b4$$udzne
000278071 7001_ $$0P:(DE-2719)9001317$$aLöwen, Daniel$$b5
000278071 7001_ $$0P:(DE-2719)2810538$$aStöcker, Tony$$b6
000278071 7001_ $$0P:(DE-2719)9002873$$aGoa, Pal Erik$$b7$$udzne
000278071 773__ $$0PERI:(DE-600)1493786-4$$a10.1002/mrm.30453$$gVol. 94, no. 1, p. 134 - 149$$n1$$p134 - 149$$tMagnetic resonance in medicine$$v94$$x1522-2594$$y2025
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