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

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

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

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

4 3He (b=1.6 sec/cm2) and 129Xe (b=12 sec/cm2) diffusion-weighted images.

5 th unidirectional and directionally averaged diffusion-weighted images.

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

7 asrecently identifiedin these patients using diffusion weighted imaging.

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

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

10 Anatomical connectivity was examined using diffusion-weighted imaging.

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

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

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

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

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

16 dard sequences for anatomic correlation, and diffusion-weighted imaging.

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

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

19 ocal epilepsy, using fixel-based analysis of 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 ral imaging (T2-weighted turbo spin-echo and diffusion-weighted imaging), acquired within 8 minutes 4

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

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

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

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

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

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

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

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

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

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

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

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

38 lioma, for paediatrics there is inclusion of diffusion-weighted imaging and a higher reliance on T2-w

39 lopment of structure-function coupling using diffusion-weighted imaging and n-back functional MRI dat

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 re prospectively further evaluated by thorax diffusion-weighted imaging and PET/CT.

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

46 Connectivity fingerprints, based on diffusion-weighted imaging and resting-state connectivit

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

48 +/- 3.08 years) with 3.0 T MRI using cardiac diffusion-weighted imaging and T1 mapping.

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

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

51 Using diffusion-weighted imaging and voxel-wise multilevel mod

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

53 ic imaging), MRI (abbreviated and ultrafast, diffusion-weighted imaging), and molecular breast imagin

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

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

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

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

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

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

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

61 de converging evidence from task-based fMRI, diffusion-weighted imaging, and functional connectivity

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

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

64 st at 3T with dynamic contrast-enhanced MRI, diffusion-weighted imaging, and the radiotracer (18)F-FD

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

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

67 Material/Diffusion-weighted images/apparent diffusion coefficient

68 t brain magnetic resonance imaging including diffusion-weighted imaging around term-equivalent age (m

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

70 of neuroimaging, particularly structural and diffusion weighted imaging, as biomarkers.

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

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

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

74 er patients who underwent repeated (<7 days) diffusion-weighted imaging at 1.5 T and 3 T.

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

76 ), mean apparent diffusion coefficient (from diffusion-weighted imaging), background parenchymal enha

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

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

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

80 Diffusion weighted imaging can help in the distinction b

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

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

83 Diffusion-weighted imaging caused underestimation of the

84 We use diffusion-weighted imaging, cognitive testing and networ

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

86 Conclusion Multislice cardiac diffusion-weighted images could be acquired in those wit

87 Diffusion-weighted imaging coupled with tractography is

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

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

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

91 Diffusion-weighted imaging data were acquired for 84 of

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

93 d on using tractography results derived from diffusion-weighted imaging data, but tractography is an

94 The diffusion weighted imaging demonstrated restricted diffu

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

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

97 ults: The ratio of PET-derived SUV(mean) and diffusion-weighted imaging-derived minimum ADC was intro

98 Conclusion Diffusion-weighted imaging, diffusion-tensor imaging, an

99 Diffusion weighted image (DWI) and apparent diffusion co

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

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

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

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

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

105 twork, compared to manual segmentation using diffusion weighted imaging (DWI) data.

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

107 ques such Dynamic Contrast Enhanced (DCE) or Diffusion Weighted Imaging (DWI) have been included in t

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

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

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

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

112 Diffusion weighted imaging (DWI) studies in humans have

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

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

115 hanced magnetic resonance imaging (DCE-MRI), diffusion weighted imaging (DWI), and dynamic positron e

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

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

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

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

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

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

122 time of onset, magnetic resonance (MR)-based diffusion-weighted imaging (DWI) and fluid-attenuated in

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

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

125 pare multiplexed sensitivity-encoding (MUSE) diffusion-weighted imaging (DWI) and single-shot DWI for

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

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

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

129 Background Diffusion-weighted imaging (DWI) can depict the inflamed

130 st agent-enhanced (DCE) MRI with established diffusion-weighted imaging (DWI) compared with tradition

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

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

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

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

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

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

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

138 Diffusion-weighted imaging (DWI) is a neuroimaging techn

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

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

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

142 middle cerebral artery (MCA), within/beyond diffusion-weighted imaging (DWI) lesion) or extent.

143 e explored the frequency and determinants of diffusion-weighted imaging (DWI) lesions on high-resolut

144 Geometric distortions related to diffusion-weighted imaging (DWI) limit the evaluation of

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

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

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

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

149 t baseline, we used a human connectome style diffusion-weighted imaging (DWI) sequence to quantify wh

150 Background Diffusion-weighted imaging (DWI) shows promise in detect

151 stic algorithm including T2-weighted MRI and diffusion-weighted imaging (DWI) signal and apparent dif

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

153 This was tested by using diffusion-weighted imaging (DWI) to construct whole-brai

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

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

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

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

158 Conclusion Diffusion-weighted imaging (DWI) was accurate in detecti

159 sequences were routinely implemented, while diffusion-weighted imaging (DWI) was much less performed

160 Diffusion-weighted imaging (DWI) was obtained with 'b' v

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

162 Thus, longitudinal diffusion-weighted imaging (DWI) was used to investigate

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

164 Patients with positive diffusion-weighted imaging (DWI) were identified as imag

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

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

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

168 he diagnostic performance of parameters from diffusion-weighted imaging (DWI), diffusion-tensor imagi

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

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

171 esults: The ratio of PET-derived SUVmean and diffusion-weighted imaging (DWI)-derived ADCmin was intr

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

173 ction in fractional anisotropy (FA) based on diffusion-weighted imaging (DWI).

174 08) and SM (N = 349; defined by absence of a diffusion weighted imaging [DWI] positive lesion on magn

175 he utility of advanced MRI sequences such as diffusion weighted imaging, dynamic contrast enhanced se

176 he utility of advanced MRI sequences such as diffusion-weighted imaging, dynamic contrast enhanced se

177 Diffusion-weighted imaging enabled measurement of early

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

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

180 re brain magnetic resonance imaging revealed diffusion-weighted imaging+/fluid-attenuated inversion r

181 ng+/fluid-attenuated inversion recovery- and diffusion-weighted imaging+/fluid-attenuated inversion r

182 ion-diffusion MRI, perfusion CT, or MRI with diffusion weighted imaging-fluid attenuated inversion re

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

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

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

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

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

188 Diffusion-weighted imaging has become increasingly impor

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

190 ng SPECT/CT, PET/CT, and whole-body MRI with diffusion-weighted imaging, have improved diagnostic acc

191 patient revealed severe leukoencephalopathy; diffusion-weighted imaging hyperintensity in the cortico

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

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

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

195 We performed diffusion-weighted imaging in 100 patients with Parkinso

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

197 Diffusion-weighted imaging in the basal ganglia may prov

198 Diffusion-weighted images indicated stroke in 14 patient

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

200 Multishot multiplexed sensitivity-encoding diffusion-weighted imaging is a feasible and easily impl

201 Diffusion-weighted imaging is a noninvasive technique th

202 Diffusion-weighted imaging is a useful adjunct with rela

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

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

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

206 Mean diffusion-weighted imaging lesion volume at baseline was

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

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

209 Large diffusion-weighted imaging lesions and a corresponding f

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

211 Diffusion-weighted imaging lesions contribute to the ove

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

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

214 Diffusion-weighted imaging lesions were mainly cortical

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

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

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

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

219 Diffusion-weighted images, measures of trait anxiety and

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

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

222 quality control in these seven groups, from diffusion-weighted imaging (n = 300), we compared white

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

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

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

226 5, after adjusting for ABCD2 score, positive diffusion-weighted imaging (odds ratio [OR] 3.8, 95% CI

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

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

229 Diffusion-weighted imaging of transplanted kidneys is te

230 All underwent diffusion-weighted imaging on admission.

231 ion in breast screening.Keywords: Breast, MR-Diffusion Weighted Imaging, OncologySupplemental materia

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

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

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

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

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

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

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

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

240 In diffusion-weighted imaging protocols where the signal at

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

242 Diffusion-weighted imaging quantified using the mono-exp

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

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

245 We applied probabilistic tractography to diffusion-weighted images, reconstructing a subcortical

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

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

248 Diffusion weighted imaging revealed differences in white

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

250 mensional (3D) T1-weighted, T2-weighted, and diffusion-weighted imaging; sagittal two-dimensional (2D

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

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

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

254 ith a 3 T MRI and appropriate structural and diffusion weighted imaging sequences: 70 patients with b

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

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

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

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

259 ive features including lymphadenopathy, high diffusion-weighted imaging signal with reference to endo

260 sent study we aim to evaluate the ability of diffusion- weighted imaging to differentiate these two g

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

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

263 We used diffusion-weighted imaging to investigate whether indivi

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

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

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

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

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

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

270 Visual qualitative analysis of diffusion-weighted images was accomplished by two indepe

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

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

273 Diffusion-weighted imaging was performed in 40 subjects

274 Probabilistic tractography based on diffusion-weighted imaging was performed in individual p

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

276 Diffusion-weighted imaging was used to compare atypical

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

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

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

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

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

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

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

284 Diffusion-weighted images were negative in eight patient

285 However, diffusion-weighted images were normal.

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

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

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

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

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

291 Here, we use diffusion weighted imaging with probabilistic tractograp

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

293 ebral MRI showing a hypersignal on the trace diffusion-weighted image with reduction or pseudonormali

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

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

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

297 Diffusion-weighted imaging with ADC mapping is not suffi

298 DW diffusion-weighted imaging with combined parallel imagin

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

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