2010
DOI: 10.1002/mrm.22286
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Phase-sensitive black-blood coronary vessel wall imaging

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Cited by 15 publications
(18 citation statements)
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“…No statistical difference (P = .06) was found between the body mass index of subjects with CAD risk factors (mean, 25 6 5; range, [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] and healthy subjects (mean, 22 6 4; range, [20][21][22][23][24][25][26][27][28][29][30]. Subjects with CAD risk factors were significantly older than healthy subjects (P , .001), while there was no significant difference in age between men and women with CAD risk factors (P = .7).…”
Section: Resultsmentioning
confidence: 94%
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“…No statistical difference (P = .06) was found between the body mass index of subjects with CAD risk factors (mean, 25 6 5; range, [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] and healthy subjects (mean, 22 6 4; range, [20][21][22][23][24][25][26][27][28][29][30]. Subjects with CAD risk factors were significantly older than healthy subjects (P , .001), while there was no significant difference in age between men and women with CAD risk factors (P = .7).…”
Section: Resultsmentioning
confidence: 94%
“…Immediately after dual inversion, a navigator-restore pulse (31) was used to optimize navigator performance. Phase-sensitive signed-magnitude images were reconstructed (24) and used in all later analyses. All cine images were randomized, anonymized, and evaluated for image quality.…”
Section: Discussionmentioning
confidence: 99%
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“…Because imaging at multiple time points after dual inversion is thus enabled, the restriction for imaging at TI* no longer exists and more time-efficient acquisition schemes may be implemented. 17 However, the extraction of phase information is challenging [17][18][19] and often requires the acquisition of an additional reference image, [18][19][20][21] the use of local region growing algorithms, 16 phase modeling, 22 or image statistics. 23 In this article, a novel extension of PS-DIR for carotid vessel wall imaging is proposed that exploits the statistical distribution of the phase signal after DIR 23 to automatically segment carotid lumens and suppress their residual blood signal.…”
mentioning
confidence: 99%