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Influence of fat-water separation and spatial resolution on automated volumetric MRI measurements of fibroglandular breast tissue
NMR in biomedicine, 2016-06, Vol.29 (6), p.702-708
Wengert, Georg J.
Pinker-Domenig, Katja
Helbich, Thomas H.
Vogl, Wolf-Dieter
Clauser, Paola
Bickel, Hubert
Marino, Maria-Adele
Magometschnigg, Heinrich F.
Baltzer, Pascal A.
2016
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Wengert, Georg J.
Pinker-Domenig, Katja
Helbich, Thomas H.
Vogl, Wolf-Dieter
Clauser, Paola
Bickel, Hubert
Marino, Maria-Adele
Magometschnigg, Heinrich F.
Baltzer, Pascal A.
Titel
Influence of fat-water separation and spatial resolution on automated volumetric MRI measurements of fibroglandular breast tissue
Ist Teil von
NMR in biomedicine, 2016-06, Vol.29 (6), p.702-708
Ort / Verlag
England: Blackwell Publishing Ltd
Erscheinungsjahr
2016
Quelle
Wiley Online Library - AutoHoldings Journals
Beschreibungen/Notizen
The aim of this study was to investigate the influence of fat–water separation and spatial resolution in MRI on the results of automated quantitative measurements of fibroglandular breast tissue (FGT). Ten healthy volunteers (age range, 28–71 years; mean, 39.9 years) were included in this Institutional Review Board‐approved prospective study. All measurements were performed on a 1.5‐T scanner (Siemens, AvantoFit) using an 18‐channel breast coil. The protocols included isotropic (Di) [TR/TE1/TE2 = 6.00 ms/2.45 ms/2.67 ms; flip angle, 6.0°; 256 slices; matrix, 360 × 360; 1 mm isotropic; field of view, 360°; acquisition time (TA) = 3 min 38 s] and anisotropic (Da) (TR/TE1/TE2 = 10.00 ms/2.39 ms/4.77 ms; flip angle, 24.9°; 80 slices; matrix 360 × 360; voxel size, 0.7 × 0.7 × 2.0 mm3; field of view, 360°; TA = 1 min 25 s) T1 three‐dimensional (3D) fast low‐angle shot (FLASH) Dixon sequences, and a T1 3D FLASH sequence with the same resolution (T1) without (TR/TE = 11.00 ms/4.76 ms; flip angle, 25.0°; 80 slices; matrix, 360 × 360; voxel size, 0.7 × 0.7 × 2.0 mm3; field of view, 360°; TA = 50 s) and with (TR/TE = 29.00 ms/4.76 ms; flip angle, 25.0°; 80 slices; matrix, 360 × 360; voxel size, 0.7 × 0.7 × 2.0 mm3; field of view, 360°; TA = 2 min 35 s) fat saturation. Repeating volunteer measurements after 20 min and repositioning were used to assess reproducibility. An automated and quantitative volumetric breast density measurement system was used for FGT calculation. FGT with Di, Da and T1 measured 4.6–63.0% (mean, 30.6%), 3.2–65.3% (mean, 32.5%) and 1.7–66.5% (mean, 33.7%), respectively. The highest correlation between different MRI sequences was found with the Di and Da sequences (R2 = 0.976). Coefficients of variation (CVs) for FGT calculation were higher in T1 (CV = 21.5%) compared with Dixon (Di, CV = 5.1%; Da, CV = 4.2%) sequences. Dixon‐type sequences worked well for FGT measurements, even at lower resolution, whereas the conventional T1‐weighted sequence was more sensitive to decreasing resolution. The Dixon fat–water separation technique showed superior repeatability of FGT measurements compared with conventional sequences. A standard dynamic protocol using Dixon fat–water separation is best suited for combined diagnostic purposes and prognostic measurements of FGT. Copyright © 2016 John Wiley & Sons, Ltd. Automated quantitative MRI measurement approaches of breast fibroglandular tissue (FGT), using different T1‐ and T2‐weighted sequences, as well as fat–water separation techniques, are introduced. This article investigates the influence of fat–water separation and spatial resolution in MRI on the results of automated quantitative measurements of FGT. Dixon fat–water separation techniques showed superior repeatability of FGT measurements compared with conventional sequences. A standard dynamic protocol using Dixon fat saturation is best suited for combined diagnostic purposes and prognostic measurements of FGT.
Sprache
Englisch
Identifikatoren
ISSN: 0952-3480
eISSN: 1099-1492
DOI: 10.1002/nbm.3516
Titel-ID: cdi_proquest_miscellaneous_1808655573
Format
–
Schlagworte
Adipose Tissue - diagnostic imaging
,
Adult
,
Aged
,
Algorithms
,
Body Water - diagnostic imaging
,
Breast - diagnostic imaging
,
Breast - physiology
,
breast density
,
Breast Density - physiology
,
breast imaging
,
Dixon
,
fat-water separation
,
Female
,
fibroglandular tissue
,
Humans
,
Imaging, Three-Dimensional - methods
,
Magnetic Resonance Imaging - methods
,
Middle Aged
,
MRI
,
Pattern Recognition, Automated - methods
,
quantitative assessment
,
Reproducibility of Results
,
Sensitivity and Specificity
,
spatial resolution
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