ライフサイエンスコーパス: Dixon

1 Dixon analysis shows that epostane inhibits the 3beta-HS

2 Dixon analysis with GMP yielded a signature plot for com

3 Dixon et al. accurately describe subtle mechanisms of di

4 Dixon et al. have highlighted the importance of a politi

5 Dixon et al. overlook the fact that contact predicts not

6 Dixon et al. suggest that the psychological literature o

7 Dixon fat and water MR images were registered to CT imag

8 Dixon images detected 15 of 47 lung lesions whereas VIBE

9 Dixon plots show that inhibition is competitive for the

10 Dixon was among the founders of modern immunology and a

11 18)F-FDG PET data were acquired along with 2 Dixon MR-AC maps for each examination.

12 Although a Dixon plot of the inhibition of IKK-2 by BMS-345541 show

13 a regular 4-compartment segmentation from a Dixon sequence ("Dixon").

14 thyl cations has been quantified by use of a Dixon plot, yielding K = 1.1(3) x 10(-4) M, 4.7(5) x 10(

15 performed by segmentation methods based on a Dixon MR sequence providing up to 4 different tissue cla

16 PET data were reconstructed using a Dixon-based mu map (mu mapDX) and a dual-echo ultrashort

17 dard Dixon 4-compartment segmentation alone, Dixon with a superimposed model-based bone compartment,

18 perimposed model-based bone compartment, and Dixon with a superimposed bone compartment and linear AC

19 formed using low-dose CT data for PET/CT and Dixon MRI sequences for PET/MR.

20 cated linear, noncompetitive inhibition, and Dixon plot analysis from competition studies with a zinc

21 ual inspection of the thoracic MR-AC map and Dixon images from which it is derived remains crucial fo

22 parison of MAPE between the PASSR method and Dixon segmentation, CT segmentation, and population aver

23 -weighted, short-tau inversion-recovery, and Dixon-type sequences.

24 ilters, statistics for weighted samples, and Dixon's test for outliers, to evaluate protein abundance

25 The t-test and Dixon's Q-test were applied in order to examine statisti

26 r the VIBE sequence (P < 0.0001 for VIBE and Dixon sequence).

27 learning model: we call this method ZTE and Dixon deep pseudo-CT (ZeDD CT).

28 ral network was trained to transform ZTE and Dixon MR images into pseudo-CT images.

29 Separate indexes defined by Dixon (7 food groups, saturated fat, and alcohol), Melle

30 by Brij-35 was a mixed type as determined by Dixon's plot; however, the inhibition mechanism of endom

31 ment the psychological approach put forth by Dixon et al., but with minimal ancillary assumptions.

32 o solve the resulting problems identified by Dixon et al., we suggest analyzing the psychological pro

33 by Hanes analysis and 0.6 and 0.4 microM by Dixon analysis.

34 The analysis offered by Dixon et al. fails to acknowledge that the attitudes tha

35 The early studies by Dixon and his group examining the models of acute or chr

36 us sorbinil-supplemented medium suggested by Dixon plot that neither galactitol nor galactose interac

37 hod for whole-body PET/MR imaging, combining Dixon-based soft-tissue segmentation and model-based bon

38 significantly lower image quality comparing Dixon and VIBE sequence with CT whereas PET from PET/CT

39 Conclusion Dixon T2-weighted fat-only and water-only imaging provid

40 ontrast, ellagic acid produced a curvilinear Dixon plot suggesting partial inhibition of nucleotide a

41 se a fat and water map derived from a 2-echo Dixon MRI sequence in which bone is neglected.

42 ce (MR) imaging protocol (sagittal spin-echo Dixon T2-weighted fat-only and water-only imaging) would

43 sagittal spin-echo T1-weighted and spin-echo Dixon T2-weighted water-only imaging).

44 metric interpolated breath-hold examination) Dixon for attenuation correction and contrast-enhanced V

45 lowest quintiles for all indexes as follows: Dixon (HR: 0.77; 95% CI: 0.69, 0.87), Mellen (HR: 0.78;

46 e lesions, the biases were 5.1% +/- 5.1% for Dixon and 5.2% +/- 5.2% for Model.

47 y a factor of 4 for bone lesions (10.24% for Dixon PET and 2.68% for ZeDD PET) and by a factor of 1.5

48 or of 1.5 for soft-tissue lesions (6.24% for Dixon PET and 4.07% for ZeDD PET).

49 rest was 2.4% +/- 2.5% and 2.7% +/- 2.7% for Dixon and Model, respectively, compared with CT-based AC

50 on was -7.4% +/- 5.3% and -2.9% +/- 5.8% for Dixon and Model, respectively.

51 g for bone detection and gradient echoes for Dixon water-fat separation in a radial 3-dimensional acq

52 n Enders at Harvard, who pointed me to Frank Dixon at Scripps in La Jolla, California, for postdoctor

53 Under Frank Dixon, my work examined how antibodies to the glomerular

54 VD than the textural features extracted from Dixon sequences and FDG PET.

55 s of affinity that correlated with the ideal Dixon-Webb competitive profile.

56 Three points that are implicit in Dixon et al.'s paradigm-challenging paper serve to make

57 scussing my work in Israel (now mentioned in Dixon et al.'s note 6) on the processes and practices th

58 competitive inhibitor of MgATP with a linear Dixon plot.

59 This multiecho TSE modified Dixon (mDixon) sequence was optimized by using simulatio

60 is study to implement an algorithm modifying Dixon-based MR imaging datasets for attenuation correcti

61 he attenuation map was obtained using the MR Dixon method currently available on the Siemens Biograph

62 rove (18)F FDG PET image quality by using MR Dixon fat-constrained images to constrain PET image reco

63 A single-breath-hold multipoint Dixon-based acquisition was performed with commercially

64 with hepatic MR imaging by using multipoint Dixon techniques is highly reproducible across readers,

65 unther (HR: 0.84; 95% CI: 0.73.0.97) but not Dixon (HR: 1.01; 95% CI: 0.80, 1.28).

66 n-based mu maps using the MAVRIC in areas of Dixon signal voids.

67 A key argument of Dixon et al. in the target article is that prejudice red

68 duced the whole-brain SUV estimation bias of Dixon-based PET/MR AC by 95% compared with reference CT

69 t-specific multiparametric MRI consisting of Dixon MRI and proton-density-weighted ZTE MRI to directl

70 in immunopathology and also cover facets of Dixon's overall contributions to immunology.

71 Purpose To test the potential of Dixon T2-weighted fat-only sequences to replace T1-weigh

72 This commentary focuses on Dixon et al.'s discussion on the dangers of employing pr

73 tely followed by PET/MR imaging with 2-point Dixon attenuation correction.

74 PET/MR imaging included a 2-point Dixon water-fat separation method.

75 ue decomposition is achieved using a 3-point Dixon-like decomposition.

76 ast spin-echo, or water-specific three-point Dixon gradient-echo) was alternated with freehand manipu

77 Water-specific three-point Dixon images are successful in regions of B0 heterogenei

78 Three-point Dixon images were superior to extended two-point Dixon a

79 Three-point Dixon imaging provides a robust method for creating fat-

80 A three-point Dixon reconstruction algorithm was used to generate wate

81 aration was performed by using a three-point Dixon reconstruction from in- and opposed-phase black-bl

82 n images were superior to extended two-point Dixon and fat-suppressed images and to images generated

83 t-fraction (SFF) analysis based on a 2-point-Dixon water-fat separation method in whole-body simultan

84 R short inversion time inversion-recovery ), Dixon-type liver accelerated volume acquisition ( LAVA l

85 construction is improved over segmentation- (Dixon and Siemens UTE) and registration-based methods, e

86 ing low-dose CT for the PET/CT and segmented Dixon MR imaging data for the PET/MR.

87 d a constraint based on fat/water-separating Dixon MR images that shift activity away from regions of

88 y 3-dimensional dual gradient-echo sequence (Dixon) used for MR imaging-based PET attenuation correct

89 artment segmentation from a Dixon sequence ("Dixon").

90 f-phase echoes, required for chemical shift (Dixon) reconstruction, in the same repetition by using p

91 g the original CT, our synthetic CT, Siemens Dixon-based mu maps, Siemens UTE-based mu maps, and defo

92 29.767, 29.34, and 27.43 dB for the Siemens Dixon-, UTE-, and registration-based mu maps.

93 R AC methods were compared with CT: standard Dixon 4-compartment segmentation alone, Dixon with a sup

94 a novel AC method that supplements standard Dixon-based tissue segmentation with a superimposed mode

95 s to assess the reproducibility of standard, Dixon-based attenuation correction (MR-AC) in PET/MR ima

96 I argue that Dixon et al. fail to maintain a careful distinction betw

97 Here, I argue that Dixon et al. have overstated the prevalence of "benevole

98 The Dixon magnetic resonance imaging technique was used to q

99 The Dixon MRI sequences acquired for attenuation correction

100 The Dixon-based method performed substantially worse (the me

101 The Dixon-based method performed substantially worse, with a

102 d to separate cortical bone and air, and the Dixon technique has enabled differentiation between soft

103 the gold standard CT-based approach and the Dixon-based method available on the Biograph mMR scanner

104 sing the reference CT-based approach and the Dixon-based method.

105 An algorithm was implemented correcting the Dixon-based mu maps using the MAVRIC in areas of Dixon s

106 er, with a detection rate of 9 of 33 for the Dixon sequence and 15 of 33 for the VIBE sequence (P < 0

107 ed 4D MRI volume and the AM derived from the Dixon MR image to generate respiration-synchronized MR i

108 llocation of PET/MR findings by means of the Dixon MRI sequence was comparable to allocation of PET/C

109 PASSR outperformed the Dixon, CT segmentation, and mean atlas methods by reduci

110 ter, which were significantly lower than the Dixon, CT segmentation, and mean atlas values (P < .01).

111 8%, which was significantly smaller than the Dixon- (100%) and CT- (39%) derived values.

112 re assessed via water-fat contrast using the Dixon method and via water-saturation efficiency using f

113 use of the lack of bone information with the Dixon-based MR sequence, bone is currently considered as

114 Three Dixon-based MR AC methods were compared with CT: standar

115 was examined for both Ag(+) and Cu(2+) using Dixon and Cornish-Bowden plots, where a strong correlati

116 57 +/- 0.54, P = 0.0001) or T1-weighted VIBE Dixon MRI (2.57 +/- 0.54, P = 0.0002).

117 h PET [from PET/CT; set A], T1-weighted VIBE Dixon with PET [set B], and T1-weighted TSE with PET [bo

118 interpolated breath-hold examination (VIBE) Dixon sequence for attenuation correction and an unenhan

119 Training by and association with Dixon and his other postdoctoral fellows, my independent

120 with deep MRAC (-0.7% +/- 1.1) compared with Dixon-based soft-tissue and air segmentation (-5.8% +/-

121 We disagree with Dixon et al. by maintaining that prejudice is primarily

122 In line with Dixon et al.'s argument, I contend that prejudice should

123 25.5% +/- 7.9% underestimation observed with Dixon was reduced to -4.9% +/- 6.7% with Model.

124 nd muscular fat fraction was quantified with Dixon-type imaging.

125 T1-weighted 3-dimensional MRI sequence with Dixon-based fat and water separation was also acquired a