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

1 hted FS, apparent diffusion coefficient, and diffusion-weighted imaging).

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

3 asrecently identifiedin these patients using diffusion weighted imaging.

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

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

6 Anatomical connectivity was examined using diffusion-weighted imaging.

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

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

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

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

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

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

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

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

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

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

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

18 T2 fluid-attenuated inversion-recovery, and diffusion-weighted imaging; 14 minutes 18 seconds) and D

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

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

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

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

23 tomas and 26 Ependymomas) were scanned using diffusion weighted imaging across 12 different hospitals

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

39 +/- 3.08 years) with 3.0 T MRI using cardiac diffusion-weighted imaging and T1 mapping.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

57 Diffusion-weighted imaging as a noninvasive functional m

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

59 temporal lobe epilepsy with T1-weighted and diffusion-weighted imaging as well as preoperative and p

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

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

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

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

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

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

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

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

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

69 Diffusion weighted imaging can help in the distinction b

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

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

72 Contrast-enhanced MRI and diffusion-weighted imaging can provide additional evalua

73 Diffusion-weighted imaging caused underestimation of the

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

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

76 rticularly the AMRI-2 protocol incorporating diffusion-weighted imaging, could serve as an effective

77 Diffusion-weighted imaging coupled with tractography is

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

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

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

81 Diffusion-weighted imaging data were acquired for 84 of

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

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

84 The diffusion weighted imaging demonstrated restricted diffu

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

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

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

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

89 clusion In MR neurography, an ideal standard diffusion-weighted imaging/diffusion tensor imaging prot

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

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

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

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

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

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

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

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

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

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

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

101 Diffusion weighted imaging (DWI) studies in humans have

102 er (ADHD) are reported inconsistently across diffusion weighted imaging (DWI) studies.

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

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

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

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

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

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

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

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

111 odel predicted the hypoperfusion lesion from diffusion-weighted imaging (DWI) and clinical informatio

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

113 ltiparametric MRI of the prostate, including diffusion-weighted imaging (DWI) and dynamic contrast-en

114 with unknown time of onset, mismatch between diffusion-weighted imaging (DWI) and fluid-attenuated in

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

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

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

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

119 Diffusion-weighted imaging (DWI) and tractography were u

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

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

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

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

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

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

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

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

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

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

130 ischemic strokes were seen on postoperative diffusion-weighted imaging (DWI) in 30 patients (12.5%),

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

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

133 Diffusion-weighted imaging (DWI) in renal diseases is an

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

135 Diffusion-weighted imaging (DWI) is a key contrast mecha

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

137 Diffusion-weighted imaging (DWI) is a valuable diagnosti

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

139 Background Diffusion-weighted imaging (DWI) is increasingly recogni

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 Diffusion-weighted imaging (DWI) is useful in detecting

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

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

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

146 A recent diffusion-weighted imaging (DWI) method allows assessing

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

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

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

150 For example, diffusion-weighted imaging (DWI) provides sensitive meas

151 Background Diffusion-weighted imaging (DWI) provides specific in vi

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

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

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

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

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

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

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

159 to evaluate the value of adding quantitative diffusion-weighted imaging (DWI) to Ovarian-Adnexal Repo

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

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

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

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

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

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

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

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

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

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

170 raphy, which relies on contrast enhancement, diffusion-weighted imaging (DWI) with apparent diffusion

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

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

173 fluid-attenuated inversion recovery (FLAIR), diffusion-weighted imaging (DWI), and susceptibility-wei

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

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

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

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

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

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

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

181 hy individuals (control group) had undergone diffusion-weighted imaging (DWI).

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

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

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

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

186 Diffusion-weighted imaging enabled measurement of early

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

188 Brain MRI included axial diffusion-weighted imaging (Figs 1-3), T2-weighted fluid

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

190 formances similar to real FLAIR in depicting diffusion-weighted imaging-FLAIR mismatch and in helping

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

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

193 e chemical exchange saturation transfer MRI, diffusion-weighted imaging, fluid-attenuated inversion r

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

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

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

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

198 Diffusion-weighted imaging has become increasingly impor

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

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

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

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

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

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

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

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

207 Diffusion-weighted imaging in the basal ganglia may prov

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

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

210 Diffusion-weighted imaging is a noninvasive technique th

211 Diffusion-weighted imaging is a useful adjunct with rela

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

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

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

215 Mean diffusion-weighted imaging lesion volume at baseline was

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

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

218 Large diffusion-weighted imaging lesions and a corresponding f

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

220 Diffusion-weighted imaging lesions contribute to the ove

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

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

223 Diffusion-weighted imaging lesions were mainly cortical

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

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

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

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

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

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

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

231 ng a DNIF.Keywords: Image Postprocessing, MR-Diffusion-weighted Imaging, Neural Networks, Oncology, W

232 5, after adjusting for ABCD2 score, positive diffusion-weighted imaging (odds ratio [OR] 3.8, 95% CI

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

234 Diffusion-weighted imaging of transplanted kidneys is te

235 All underwent diffusion-weighted imaging on admission.

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

237 tudies in which contrast media (P = .03) and diffusion-weighted imaging (P = .04) were used as a part

238 All participants had perfusion and diffusion weighted imaging performed at diagnosis.

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

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

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

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

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

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

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

246 In diffusion-weighted imaging protocols where the signal at

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

248 Diffusion-weighted imaging quantified using the mono-exp

249 Diffusion-weighted imaging quantifies airspace enlargeme

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

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

252 D2 integrates multiple MRI-derived diffusion-weighted imaging, R1 relaxometry, and magnetiz

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

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

255 Diffusion weighted imaging revealed differences in white

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

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

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

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

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

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

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

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

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

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

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

267 We used diffusion-weighted imaging to investigate whether indivi

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

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

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

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

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

273 trum on activity in this piDLPFC region, and diffusion weighted imaging verifies their structural con

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

275 Diffusion weighted imaging was collected and quantitativ

276 Diffusion weighted imaging was used to study c-c connect

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

278 Diffusion-weighted imaging was obtained at b-values of 1

279 uated inversion recovery and high-resolution diffusion-weighted imaging was obtained within 3 to 48 h

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

281 Diffusion-weighted imaging was performed in 40 subjects

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

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

284 Diffusion-weighted imaging was used to compare atypical

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

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

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

288 ic brain lesions detected by high-resolution diffusion-weighted imaging were not associated with cogn

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

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

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

292 Here, we use diffusion weighted imaging with probabilistic tractograp

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

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

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

296 Diffusion-weighted imaging with ADC mapping is not suffi

297 non-Hodgkin lymphoma (NHL) using whole-body diffusion-weighted imaging with background body signal s

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