ライフサイエンスコーパス: diffusion-weighted image

1 matter abnormality either on T2-weighted or diffusion-weighted images.

2 3He (b=1.6 sec/cm2) and 129Xe (b=12 sec/cm2) diffusion-weighted images.

3 th unidirectional and directionally averaged diffusion-weighted images.

4 elds as indicated by the mean diffusivity on diffusion-weighted images.

5 ighted images and significant restriction in diffusion-weighted images.

6 asrecently identifiedin these patients using diffusion weighted imaging.

7 were assessed by brain MRI at 3 T including diffusion weighted imaging.

8 baseline, post procedure, and 6 months using diffusion-weighted imaging.

9 te functional magnetic resonance imaging and diffusion-weighted imaging.

10 in white matter organization as measured by diffusion-weighted imaging.

11 onths after intracerebral haemorrhage) using diffusion-weighted imaging.

12 arent diffusion coefficients (ADCs) using MR diffusion-weighted imaging.

13 of tests of executive function and underwent diffusion-weighted imaging.

14 ery territory, lesion volume was measured by diffusion-weighted imaging.

15 netic susceptibility contrast agent; and (b) diffusion-weighted imaging.

16 ocal epilepsy, using fixel-based analysis of diffusion-weighted imaging.

17 dence interval: 0.86, 0.99) at axial oblique diffusion-weighted imaging.

18 ted, dynamic contrast material-enhanced, and diffusion-weighted imaging.

19 Anatomical connectivity was examined using diffusion-weighted imaging.

20 d T2-weighted, dynamic contrast-enhanced and diffusion-weighted imaging (1.5 T, pelvic phased-array c

21 patients to predict the final infarction at diffusion-weighted imaging 24 hours after CT perfusion.

22 Lesion percentage CNRs were 77% for diffusion-weighted imaging, 5.5% for CT, 9.8% for T2-wei

23 Among patients with available diffusion-weighted imaging, 6 patients (40%) did not sho

24 Specifically, we demonstrate that diffusion-weighted images acquired from different subjec

25 rom 31 multisection, interleaved echo-planar diffusion-weighted images acquired in about 25 minutes.

26 ral imaging (T2-weighted turbo spin-echo and diffusion-weighted imaging), acquired within 8 minutes 4

27 e evidence that lesion volumes determined by diffusion-weighted imaging acutely may be predictive of

28 Conventional images, diffusion-weighted images, ADC maps, and clinical charts

29 tive [eg, apparent diffusion coefficients in diffusion-weighted images]) affected diagnostic performa

30 ilation images and hyperpolarized (129)Xe MR diffusion-weighted images after coregistration to CT sca

31 nal Institutes of Health Stroke Scale score, diffusion-weighted imaging Alberta Stroke Program Early

32 roke Scale score, 15 vs 17 [P = .03]; median diffusion-weighted imaging Alberta Stroke Program Early

33 gnetic resonance imaging findings, including diffusion weighted images along with a review of the cur

34 g proton magnetic resonance spectroscopy and diffusion weighted imaging also provide useful informati

35 Diffusion-weighted imaging, anatomic MR imaging, and bio

36 Abnormalities were more easily detected on diffusion-weighted images and ADC maps, compared with co

37 Hyperintensity on diffusion-weighted images and involvement of U fibers we

38 tween signal-intensity abnormality volume on diffusion-weighted images and modified Rankin score (r =

39 Trace diffusion-weighted images and time-to-peak perfusion map

40 e performed an extended series of multishell diffusion-weighted imaging and other structural imaging

41 AA] to creatine [Cr], and lactate to Cr) and diffusion-weighted imaging and perfusion-weighted imagin

42 arious spelling tests and magnetic resonance diffusion-weighted imaging and perfusion-weighted imagin

43 Some of these techniques, including diffusion-weighted imaging and perfusion-weighted imagin

44 motor system to the cerebral peduncle using diffusion-weighted imaging and probabilistic tractograph

45 ents without LVH (HTN non-LVH) using cardiac diffusion-weighted imaging and T1 mapping.

46 +/- 3.08 years) with 3.0 T MRI using cardiac diffusion-weighted imaging and T1 mapping.

47 ghted imaging alone and then, 4 weeks later, diffusion-weighted imaging and T2-weighted imaging toget

48 algorithm to identify the VOF in vivo using diffusion-weighted imaging and tractography, and show th

49 l study to measure white-matter development (diffusion-weighted imaging) and reading development (beh

50 s defined and measured in the structural and diffusion-weighted images, and degeneration assessed by

51 that exhibited GCI-induced hyperintensity in diffusion-weighted imaging, and a significant reduction

52 bjects underwent spinal MR imaging including diffusion-weighted imaging, and bone marrow ADCs were ca

53 provides an overview of liver MRI protocol, diffusion-weighted imaging, and contrast agents.

54 postcontrast T1-weighted), conventional with diffusion-weighted imaging, and conventional with diffus

55 ighted sequences), MR spectroscopic imaging, diffusion-weighted imaging, and dynamic contrast agent-e

56 c MR imaging, including T2-weighted imaging, diffusion-weighted imaging, and dynamic contrast materia

57 MR imaging, susceptibility-weighted imaging, diffusion-weighted imaging, and higher order diffusion i

58 chemic attack or seizure, no acute lesion on diffusion-weighted imaging, and no clinical or electroen

59 tomographic (CT) scans and conventional and diffusion-weighted images; and determination of lesion c

60 -weighted fast spin-echo imaging; unenhanced diffusion-weighted imaging; and-before and after gadolin

61 Material/Diffusion-weighted images/apparent diffusion coefficient

62 interval, 2.9-4.2) greater lesion volume on diffusion-weighted imaging as compared with INR of 2.0 o

63 imaging features with a special emphasis on diffusion-weighted imaging, as diffusion sequences may h

64 er retinal cell swelling was hyperintense on diffusion-weighted images at 3 hours and 1 day after NMD

65 lution structural imaging in several planes, diffusion-weighted imaging at 0, 800, 1000, and 1400 mm(

66 hose without mismatch between perfusion- and diffusion-weighted imaging at baseline.

67 l magnetic resonance (MR) imaging, including diffusion-weighted imaging, before nephrectomy were incl

68 Then, using structural (diffusion-weighted imaging) brain imaging techniques, we

69 ors that are indistinguishable using in vivo diffusion-weighted imaging, but may be related to reduce

70 Diffusion weighted imaging can help in the distinction b

71 We found that MT and diffusion-weighted imaging can detect histological chang

72 y can detect striatal hyperechogenicity, and diffusion-weighted imaging can detect increased putamen

73 Diffusion-weighted imaging caused underestimation of the

74 ntratubular flow all play important roles in diffusion-weighted imaging contrast.

75 Diffusion-weighted imaging coupled with tractography is

76 HO, RECIST), enhancement (EASL, mRECIST) and diffusion-weighted imaging criteria (apparent diffusion

77 abilistic tractography on magnetic resonance diffusion weighted imaging data to segment basal ganglia

78 Diffusion-weighted imaging data of 12 treatment-naive pa

79 Diffusion-weighted imaging data were acquired for 84 of

80 High-angular resolution diffusion-weighted imaging data were used to conduct who

81 The diffusion weighted imaging demonstrated restricted diffu

82 T1-weighted TSE and single-shot echo-planar diffusion-weighted imaging-derived ADC mapping.

83 Purpose To compare single-shot echo-planar diffusion-weighted imaging-derived apparent diffusion co

84 Diffusion weighted image (DWI) and apparent diffusion co

85 s to identify the diagnostic value of adding diffusion weighted images (DWI) to routine MRI examinati

86 Perfusion weighted imaging (PWI) and diffusion weighted imaging (DWI) allow for more detailed

87 To evaluate the role of diffusion weighted imaging (DWI) and apparent diffusion

88 troke symptoms, with MRI sequences including diffusion weighted imaging (DWI) and perfusion weighted

89 Multislice diffusion weighted imaging (DWI) and single-slice dynami

90 Remarkably, 3D diffusion weighted imaging (DWI) delivered unprecedented

91 rly (i.e. observed within 2 h) reductions in diffusion weighted imaging (DWI) intensity following tre

92 Though diffusion weighted imaging (DWI) is frequently used for

93 The volume and number of diffusion weighted imaging (DWI) positive/apparent diffu

94 Resting-state (rs)-fMRI and diffusion weighted imaging (DWI) scans were undertaken b

95 Diffusion weighted imaging (DWI) studies in humans have

96 we use magnetic resonance imaging (MRI) and diffusion weighted imaging (DWI) to identify the brain s

97 this study was to investigate the utility of diffusion weighted imaging (DWI) using Apparent Diffusio

98 In rats, quantitative diffusion weighted imaging (DWI), perfusion weighted ima

99 ce imaging (MRI), MR spectroscopy (MRS), and diffusion weighted imaging (DWI), was used in rats expos

100 The evolution of the lesion was monitored by diffusion weighted imaging (DWI).

101 ith breath hold (BH) and free breathing (FB) diffusion weighted imaging (DWI).

102 A study was undertaken to determine whether diffusion-weighted imaging (DWI) abnormalities in normal

103 were scanned with a 3-T MR imager, including diffusion-weighted imaging (DWI) and DCE MR imaging.

104 ied to Crohn's disease assessment, including diffusion-weighted imaging (DWI) and magnetization trans

105 Diffusion-weighted imaging (DWI) and perfusion-weighted

106 he feasibility and diagnostic performance of diffusion-weighted imaging (DWI) applied to the whole bo

107 suggested that multiple ischemic lesions on diffusion-weighted imaging (DWI) are common in acute str

108 Brain lesions on diffusion-weighted imaging (DWI) are frequently found af

109 Diffusion-weighted imaging (DWI) detects small changes i

110 y aimed to evaluate the application value of diffusion-weighted imaging (DWI) for assessing paradoxic

111 To evaluate the value of diffusion-weighted imaging (DWI) for distinguishing betw

112 Diffusion-weighted imaging (DWI) has been at the forefro

113 Diffusion-weighted imaging (DWI) has emerged as the most

114 tudy was to assess the diagnostic benefit of diffusion-weighted imaging (DWI) in an (18)F-FDG PET/MR

115 ine the frequency of acute brain infarcts on diffusion-weighted imaging (DWI) in patients with monocu

116 icacy of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in the grading of gliom

117 Diffusion-weighted imaging (DWI) is an MRI modality usin

118 Interestingly, although diffusion-weighted imaging (DWI) is more frequently used

119 Magnetic resonance (MR) diffusion-weighted imaging (DWI) is sensitive to small a

120 Purpose To correlate quantitative diffusion-weighted imaging (DWI) parameters derived from

121 cognitive deficits, we used a comprehensive diffusion-weighted imaging (DWI) protocol and characteri

122 Diffusion-weighted imaging (DWI) provides evidence of ac

123 sions upgraded from category 3 to 4 based on diffusion-weighted imaging (DWI) score of 5; and 71.7%-7

124 se To determine the usefulness of whole-body diffusion-weighted imaging (DWI) to assess the response

125 We used high angular resolution diffusion-weighted imaging (DWI) to evaluate the structu

126 Here we used diffusion-weighted imaging (DWI) tractography to show th

127 anisotropy are greatest, can be studied with diffusion-weighted imaging (DWI) tractography.

128 iffusion that is found on magnetic resonance diffusion-weighted imaging (DWI) typically indicates acu

129 of coregistered pretreatment CTP and 24-hour diffusion-weighted imaging (DWI) was then undertaken to

130 At baseline, ischemic lesions on diffusion-weighted imaging (DWI) were found in 35% of pa

131 sisting of magnetic resonance imaging (MRI), diffusion-weighted imaging (DWI), and 1,356 large-format

132 fluid-attenuated inversion recovery (FLAIR), diffusion-weighted imaging (DWI), and perfusion and func

133 ith 39 HCC lesions underwent mpMRI including diffusion-weighted imaging (DWI), blood-oxygenation-leve

134 echnique for identifying fiber pathways from diffusion-weighted imaging (DWI), was used to reconstruc

135 Using diffusion-weighted imaging (DWI), we failed to demonstra

136 ng (1H-MRSI), T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI).

137 tumor assessment and to compare it with 7-T diffusion-weighted imaging (DWI).

138 Diffusion-weighted imaging enabled measurement of early

139 At 7 T, one DW diffusion-weighted imaging examination of less than 4 mi

140 atients with mismatch between perfusion- and diffusion-weighted imaging findings at baseline who expe

141 We obtained T1-weighted structural and diffusion-weighted images for 26 patients with adult-acq

142 d method makes optimal use of T1, T2 and the diffusion-weighted images for complimentary tissue distr

143 ng whole-body morphologic MRI augmented with diffusion-weighted imaging for both staging and response

144 ant parameters corresponding to the score of diffusion-weighted imaging for peripheral zone lesions a

145 stic tractography on high angular resolution diffusion-weighted imaging (HARDI), we reconstructed pat

146 Diffusion-weighted imaging has become increasingly impor

147 tector 64-slice computed tomography (CT) and diffusion-weighted imaging has enabled higher-resolution

148 amage with magnetic resonance perfusion- and diffusion-weighted imaging immediately after stroke in 8

149 Diffusion weighted imaging in Patient S.P. and controls

150 Abdominal diffusion-weighted images in 10 healthy men (mean age, 3

151 Use of diffusion-weighted imaging in addition to T2-weighted im

152 rity and outcome, and may support a role for diffusion-weighted imaging in the assessment of acute st

153 Diffusion-weighted imaging in the basal ganglia may prov

154 Diffusion-weighted images indicated stroke in 14 patient

155 s may help explain some of this variance, as diffusion weighted imaging is sensitive to the white mat

156 Diffusion-weighted imaging is a noninvasive technique th

157 erate to substantial for features related to diffusion-weighted imaging (kappa = 0.535-0.619); fair t

158 t effect on clinical outcome despite reduced diffusion-weighted imaging lesion growth during therapy.

159 it (LTB) or uncertain to benefit (UTB) using diffusion-weighted imaging lesion volume and clinical cr

160 Mean diffusion-weighted imaging lesion volume at baseline was

161 For regions defined as infarct core (diffusion-weighted imaging lesion) and presumed penumbra

162 ury, as indicated by the reappearance of the diffusion-weighted imaging lesion, has recently been doc

163 ly exceeded the volume of the abnormality on diffusion-weighted images, lesion volume increased by 20

164 Large diffusion-weighted imaging lesions and a corresponding f

165 The score was associated with small, acute, diffusion-weighted imaging lesions and posterior white m

166 Diffusion-weighted imaging lesions contribute to the ove

167 The prevalence of diffusion-weighted imaging lesions was 9/39 (23%) in pro

168 th intracerebral haemorrhage (P = 0.024); no diffusion-weighted imaging lesions were found in control

169 Diffusion-weighted imaging lesions were mainly cortical

170 We investigated associations between diffusion-weighted imaging lesions, clinical and radiolo

171 In future, diffusion-weighted images may be useful in determining t

172 Also, lesions seen with diffusion-weighted imaging may be reversible as a result

173 d gray matter volume (NWMV and NGMV) and the diffusion-weighted imaging measure of WB mean parenchyma

174 Diffusion-weighted images, measures of trait anxiety and

175 and network efficiency were assessed through diffusion-weighted imaging, measuring fractional anisotr

176 schaemic brain injury on magnetic reasonance diffusion-weighted imaging (MR DWI) could provide additi

177 and included T2-weighted imaging (n = 104), diffusion-weighted imaging (n = 88), dynamic contrast-en

178 On diffusion-weighted images, necrotic tumor showed low sig

179 a LSIR within tumor lesions was detected on diffusion-weighted images obtained with a b value of 50

180 5, after adjusting for ABCD2 score, positive diffusion-weighted imaging (odds ratio [OR] 3.8, 95% CI

181 (n = 24, age = 27.4 +/- 6.3 years) underwent diffusion weighted imaging of the brain.

182 d inversion-recovery/T2-weighted images, and diffusion-weighted images of the brain.

183 Diffusion-weighted imaging of transplanted kidneys is te

184 All underwent diffusion-weighted imaging on admission.

185 set consisted of transverse T2-weighted and diffusion-weighted images only.

186 ion warfarin use who had INR measurement and diffusion-weighted imaging performed within 24 hours of

187 High-resolution diffusion-weighted imaging, performed within 48 hours af

188 t with the advent of chemical shift imaging, diffusion-weighted imaging, perfusion imaging and MR spe

189 acute left hemisphere stroke symptoms, with diffusion-weighted imaging, perfusion-weighted imaging,

190 Despite these caveats, diffusion-weighted imaging-perfusion-weighted imaging re

191 Advances in MRI acquisitions including diffusion-weighted imaging, post-acquisition image proce

192 ker, apparent diffusion coefficient (ADC) on diffusion-weighted imaging, predicted which fetuses will

193 In diffusion-weighted imaging protocols where the signal at

194 onsisting of only transverse T2-weighted and diffusion-weighted imaging pulse sequences compared with

195 Diffusion-weighted imaging quantified using the mono-exp

196 s inversely correlated with lesion volume on diffusion-weighted imaging (r = -0.38).

197 ons relating acute lesion volume measured by diffusion-weighted imaging (r = 0.61) and chronic lesion

198 transcranial sonography, magnetic resonance diffusion-weighted imaging regional apparent diffusion c

199 usion, and magnetic resonance perfusion- and diffusion-weighted imaging, respectively.

200 Diffusion weighted imaging revealed differences in white

201 Thirteen months later, diffusion-weighted images revealed a bilateral cortical

202 U underwent multimodal T1 volumetric MRI and diffusion weighted imaging scans.

203 than fluid-attenuated inversion recovery or diffusion-weighted imaging scores (area under the receiv

204 ct early suspected PML using MRI including a diffusion-weighted imaging sequence.

205 n neuroimaging (computed tomographic scan or diffusion-weighted imaging sequences on magnetic resonan

206 s on fluid-attenuated inversion recovery and diffusion-weighted imaging sequences predominantly invol

207 with fluid-attenuated inversion recovery and diffusion-weighted imaging sequences were analyzed by us

208 nt-echo sequences were interspersed with two diffusion-weighted imaging series.

209 scans to quantify WM lesion loads (LLs) and diffusion-weighted images to assess their microstructura

210 constrained image registration for aligning diffusion-weighted images to DIR images, maps of FA and

211 We used diffusion-weighted imaging to investigate whether indivi

212 al MR imaging pattern by adding quantitative diffusion-weighted imaging to standard MR imaging protoc

213 In overall tumor detection, addition of diffusion-weighted imaging to T2-weighted imaging improv

214 on-tensor imaging may be more sensitive than diffusion-weighted imaging to white matter ischemia.

215 (Gd-enhanced lesion length); and (iv) brain diffusion-weighted imaging (to derive optic radiation fr

216 ional magnetic resonance imaging at rest and diffusion-weighted imaging tractography.

217 on-density-weighted MR imaging (P < .002 for diffusion-weighted imaging vs others).

218 The pattern of AChA involvement on initial diffusion-weighted imaging was dichotomised as spared or

219 In all patients, bilateral DW diffusion-weighted imaging was performed in 3 minutes 35

220 Diffusion-weighted imaging was performed in 40 subjects

221 ts hospitalized in a 10-month period in whom diffusion-weighted imaging was performed within 6 hours

222 etic resonance (MR) imaging (T1-weighted and diffusion-weighted imaging) was performed with a 3-T MR

223 Using a combination of EEG, fMRI, and diffusion-weighted imaging, we show that activity in the

224 structural connectivity, as measured through diffusion-weighted imaging, we were able to predict func

225 dimensional image series and a 3-dimensional diffusion-weighted image were acquired in separate breat

226 T1-weighted, T2-weighted, and diffusion-weighted images were acquired.

227 ppearing white matter (NAWM) architecture on diffusion-weighted images were assessed.

228 High-b-value diffusion-weighted images were more discriminative in di

229 Diffusion-weighted images were negative in eight patient

230 However, diffusion-weighted images were normal.

231 recontrast single-shot spin-echo echo-planar diffusion-weighted images were obtained with b values of

232 Oblique sagittal diffusion-weighted images were obtained with b values of

233 te functional magnetic resonance imaging and diffusion-weighted imaging were performed in 35 particip

234 Serial diffusion-weighted imaging were performed on 79% gestati

235 T1-weighted and diffusion-weighted imaging were performed, and volume an

236 Here, we use diffusion weighted imaging with probabilistic tractograp

237 Combining high-resolution diffusion weighted imaging with resting-state fMRI, we p

238 parison of the initial interpretation of the diffusion-weighted images with the final clinical diagno

239 (MR) imaging before and after CRT, including diffusion-weighted imaging with 34 b values prior to sur

240 S and six healthy control subjects underwent diffusion-weighted imaging with a range of diffusion wei

241 Diffusion-weighted imaging with ADC mapping is not suffi

242 DW diffusion-weighted imaging with combined parallel imagin

243 ulated factor of seven when compared with DW diffusion-weighted imaging with ss-EPI single-shot echo-

244 We then used diffusion-weighted imaging with tractography to assess w