ライフサイエンスコーパス: weighted image

1 T1-weighted imaging + PDFS imaging vs 3D T1-weighted imaging).

2 three-dimensional gradient-echo T2*- and T1-weighted images.

3 between each time point for both T1- and T2-weighted images.

4 dicated by the mean diffusivity on diffusion-weighted images.

5 re derived from SPM8 segmentations of the T1-weighted images.

6 and lesions with low signal intensity on T2-weighted images.

7 ges and significant restriction in diffusion-weighted images.

8 ared with conventional segmentation of CE T1-weighted images.

9 zed in three of the five animals (60%) on T2-weighted images.

10 r than the current standard of reference, T2-weighted images.

11 normality either on T2-weighted or diffusion-weighted images.

12 intense foci within the adnexal lesion on T2-weighted images.

13 E three-dimensional multiecho susceptibility-weighted images.

14 coronal images and high-resolution axial T2-weighted images.

15 ed nonenhanced T1-weighted images from CE T1-weighted images.

16 ation efficiency using fast spin-echo and T2-weighted images.

17 eous contrast enhancement on postcontrast T1-weighted images.

18 and pons (P) were measured on unenhanced T1-weighted images.

19 perintense (n=12) and isointense (n=6) on T1-weighted images.

20 ted pixel-wise to the series of T1rho and T2 weighted images.

21 m 600mum isotropic resolution susceptibility-weighted images.

22 te matter showed mild signal intensity on T2-weighted images.

23 ssed by brain MRI at 3 T including diffusion weighted imaging.

24 rval: 0.86, 0.99) at axial oblique diffusion-weighted imaging.

25 ic contrast material-enhanced, and diffusion-weighted imaging.

26 al connectivity was examined using diffusion-weighted imaging.

27 nal magnetic resonance imaging and diffusion-weighted imaging.

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

29 n and localization accuracy compared with T2-weighted imaging.

30 assessed at 24 hour follow up via perfusion-weighted imaging.

31 f executive function and underwent diffusion-weighted imaging.

32 identifiedin these patients using diffusion weighted imaging.

33 psy, using fixel-based analysis of diffusion-weighted imaging.

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

35 Among patients with available diffusion-weighted imaging, 6 patients (40%) did not show high-sig

36 ement was evaluated semiquantitatively on T1-weighted images according to a visual score, and the glo

37 Axial T2-weighted images acquired at both standard and high spati

38 Specifically, we demonstrate that diffusion-weighted images acquired from different subjects can be

39 The study includes T1-weighted images acquired in three European centres from

40 g (T2-weighted turbo spin-echo and diffusion-weighted imaging), acquired within 8 minutes 45 seconds

41 apparent diffusion coefficients in diffusion-weighted images]) affected diagnostic performance.

42 ages and hyperpolarized (129)Xe MR diffusion-weighted images after coregistration to CT scans.

43 ned by magnetic resonance imaging T1- and T2-weighted images after eccentric challenge, as well as gr

44 utes of Health Stroke Scale score, diffusion-weighted imaging Alberta Stroke Program Early Computed T

45 score, 15 vs 17 [P = .03]; median diffusion-weighted imaging Alberta Stroke Program Early Computed T

46 Susceptibility weighted imaging allowed depiction of atrophy of the cer

47 or combinations of MP MR imaging than for T2-weighted imaging alone (kappa = 0.34-0.63 vs kappa = 0.1

48 lihood of PCa with a five-point scale for T2-weighted imaging alone, T2-weighted imaging with DW imag

49 detection of recurrent PCa after RT than T2-weighted imaging alone, with no additional benefit if DC

50 onance imaging findings, including diffusion weighted images along with a review of the current medic

51 minated lesions that were hyperintense on T2-weighted images and did not enhance after contrast admin

52 subcutan masses as mainly hypointense on T1-weighted images and hyperintense on T2-weighted images a

53 ed a mass including hyperintense areas on T1-weighted images and hypointense on fat-suppressed T1-wei

54 Hyperintensity on diffusion-weighted images and involvement of U fibers were the mos

55 patial scaling factor (SSF) of 2 and 4 on T2-weighted images and kurtosis on contrast-enhanced T1-wei

56 maging (processed to generate susceptibility-weighted images and quantitative susceptibility maps), a

57 econstructed from MT magnetization transfer -weighted images and R1 maps by the single-point method.

58 on T1-weighted images and hyperintense on T2-weighted images and significant restriction in diffusion

59 eated using multiple averaged proton density-weighted images and were used to constrain and confirm t

60 Our approach included using both T1-weighted imaging and diffusion tensor imaging (DTI) in a

61 no additional benefit if DCE is added to T2-weighted imaging and DW imaging.

62 radient-recalled echo, and/or susceptibility-weighted imaging and fluid-attenuated inversion recovery

63 d an extended series of multishell diffusion-weighted imaging and other structural imaging series usi

64 ut LVH (HTN non-LVH) using cardiac diffusion-weighted imaging and T1 mapping.

65 ears) with 3.0 T MRI using cardiac diffusion-weighted imaging and T1 mapping.

66 to identify the VOF in vivo using diffusion-weighted imaging and tractography, and show that the VOF

67 d diffusion-, perfusion-, and susceptibility-weighted images) and multiregional (contrast-enhancing r

68 d, fluid-sensitive, and contrast-enhanced T1-weighted imaging) and functional (DCE MR imaging, DW ima

69 ength and 28.8% for width measurements on T2-weighted images, and 26.1% for length and 33.3% for widt

70 ions, areas of lowest signal intensity on T2-weighted images, and areas of restricted diffusivity; an

71 and measured in the structural and diffusion-weighted images, and degeneration assessed by comparing

72 fast fluid-attenuated inversion-recovery/T2-weighted images, and diffusion-weighted images of the br

73 mages, fatty degeneration was assessed on T1-weighted images, and muscular fat fraction was quantifie

74 th highest and lowest signal intensity on T2-weighted images, and regions of most restricted diffusiv

75 erwent spinal MR imaging including diffusion-weighted imaging, and bone marrow ADCs were calculated.

76 st T1-weighted), conventional with diffusion-weighted imaging, and conventional with diffusion-weight

77 on-tensor imaging, three-dimensional (3D) T1-weighted imaging, and functional MR imaging at rest and

78 , susceptibility-weighted imaging, diffusion-weighted imaging, and higher order diffusion imaging.

79 ack or seizure, no acute lesion on diffusion-weighted imaging, and no clinical or electroencephalogra

80 fast spin-echo imaging; unenhanced diffusion-weighted imaging; and-before and after gadolinium chelat

81 aphy biomarkers: signal intensity (SI) on T2-weighted images, apparent diffusion coefficient (ADC), P

82 Material/Diffusion-weighted images/apparent diffusion coefficient (DWI/ADC)

83 -shot turbo spin-echo sequence, cine, and T2-weighted images as well as T1-weighted images before and

84 T1-weighted imaging + PDFS imaging vs 3D T1-weighted imaging), as was sensitivity (per-lesion analys

85 eatures with a special emphasis on diffusion-weighted imaging, as diffusion sequences may help distin

86 uctural imaging in several planes, diffusion-weighted imaging at 0, 800, 1000, and 1400 mm(2)/sec, an

87 1) A brain template derived from in-vivo, T1-weighted imaging at 1 mm isotropic resolution at 3 Tesla

88 The imaging protocol included sagittal T1-weighted images, axial fast fluid-attenuated inversion-r

89 , cine, and T2-weighted images as well as T1-weighted images before and after injection of gadobutrol

90 schaemic stroke who underwent susceptibility-weighted imaging before intravenous thrombolysis.

91 w edema presents with increased signal in T2-weighted images, being most visible in fat saturation or

92 ted by using whole-volume segmentation on T2-weighted images, both before and after ejaculation.

93 re indistinguishable using in vivo diffusion-weighted imaging, but may be related to reduced axonal n

94 ted a quantitative analysis of unenhanced T1-weighted images by using region of interest measurements

95 Three-dimensional multiecho susceptibility-weighted images can be used to accurately differentiate

96 We acquired multiple proton density-weighted images centered on the thalamus and midbrain, a

97 images and hypointense on fat-suppressed T1-weighted images, compatible with lipoleiomyoma.

98 Diffusion-weighted imaging coupled with tractography is currently

99 Diffusion-weighted imaging data of 12 treatment-naive patients wit

100 Diffusion-weighted imaging data were acquired for 84 of the infant

101 High-angular resolution diffusion-weighted imaging data were used to conduct whole-brain W

102 The diffusion weighted imaging demonstrated restricted diffusion in th

103 of >33) demonstrated good agreement with T2-weighted imaging-derived AAR (bias, 0.18; 95% confidence

104 ed TSE and single-shot echo-planar diffusion-weighted imaging-derived ADC mapping.

105 To compare single-shot echo-planar diffusion-weighted imaging-derived apparent diffusion coefficient

106 Myocardial edema quantified from T2-weighted images did not change significantly after 3 mon

107 utperforms T2-weighted imaging in the PZ; T2-weighted imaging did not show a significant difference w

108 etic resonance imaging scanner to acquire T1-weighted images, diffusion tensor imaging datasets, and

109 3-T endorectal presurgery MP MR imaging (T2-weighted imaging, diffusion-weighted [DW] imaging appare

110 three-dimensional MR imaging, susceptibility-weighted imaging, diffusion-weighted imaging, and higher

111 th dynamic susceptibility contrast perfusion weighted imaging (DSC-PWI).

112 Use of 3-T MP MR imaging, consisting of T2-weighted imaging, DW imaging ADC maps (b values, 50, 500

113 ify the diagnostic value of adding diffusion weighted images (DWI) to routine MRI examinations of the

114 rfusion weighted imaging (PWI) and diffusion weighted imaging (DWI) allow for more detailed analysis

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

116 ed with a 3-T MR imager, including diffusion-weighted imaging (DWI) and DCE MR imaging.

117 lity and diagnostic performance of diffusion-weighted imaging (DWI) applied to the whole body largely

118 Brain lesions on diffusion-weighted imaging (DWI) are frequently found after caroti

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

120 evaluate the application value of diffusion-weighted imaging (DWI) for assessing paradoxical puborec

121 To evaluate the value of diffusion-weighted imaging (DWI) for distinguishing between benign

122 Diffusion-weighted imaging (DWI) has been at the forefront of canc

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

124 o assess the diagnostic benefit of diffusion-weighted imaging (DWI) in an (18)F-FDG PET/MR imaging pr

125 ntravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in the grading of gliomas.

126 Diffusion-weighted imaging (DWI) is an MRI modality using strong b

127 Interestingly, although diffusion-weighted imaging (DWI) is more frequently used to examin

128 Magnetic resonance (MR) diffusion-weighted imaging (DWI) is sensitive to small acute ische

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

130 The volume and number of diffusion weighted imaging (DWI) positive/apparent diffusion coeff

131 deficits, we used a comprehensive diffusion-weighted imaging (DWI) protocol and characterized the wh

132 Diffusion-weighted imaging (DWI) provides evidence of acute cerebr

133 Resting-state (rs)-fMRI and diffusion weighted imaging (DWI) scans were undertaken before unil

134 aded from category 3 to 4 based on diffusion-weighted imaging (DWI) score of 5; and 71.7%-72.7% of le

135 rmine the usefulness of whole-body diffusion-weighted imaging (DWI) to assess the response of bone me

136 We used high angular resolution diffusion-weighted imaging (DWI) to evaluate the structural integr

137 gnetic resonance imaging (MRI) and diffusion weighted imaging (DWI) to identify the brain structure c

138 hat is found on magnetic resonance diffusion-weighted imaging (DWI) typically indicates acute ischaem

139 was to investigate the utility of diffusion weighted imaging (DWI) using Apparent Diffusion Coeffici

140 tered pretreatment CTP and 24-hour diffusion-weighted imaging (DWI) was then undertaken to define the

141 magnetic resonance imaging (MRI), diffusion-weighted imaging (DWI), and 1,356 large-format cellular

142 lesions underwent mpMRI including diffusion-weighted imaging (DWI), blood-oxygenation-level-dependen

143 essment and to compare it with 7-T diffusion-weighted imaging (DWI).

144 hold (BH) and free breathing (FB) diffusion weighted imaging (DWI).

145 At 7 T, one DW diffusion-weighted imaging examination of less than 4 minutes yiel

146 Nonacute ischemic white matter changes on T2-weighted imaging, focal tissue loss, and ventriculomegal

147 btained T1-weighted structural and diffusion-weighted images for 26 patients with adult-acquired or c

148 in signal intensity within the tumor on T2*-weighted images for up to 5 days after treatment and was

149 terial spin labeling for CBF, and T1- and T2-weighted imaging for atrophy, white matter hyperintensit

150 ody morphologic MRI augmented with diffusion-weighted imaging for both staging and response assessmen

151 e-matched healthy controls underwent 7 T T2*-weighted imaging for cortical lesion segmentation and 3

152 MS subjects underwent 7T T2*-weighted imaging for cortical lesion segmentation, and n

153 ters corresponding to the score of diffusion-weighted imaging for peripheral zone lesions and to T2-w

154 T1-weighted images from 1680 healthy individuals and 884 pa

155 is based upon high-resolution structural T1-weighted images from 82 current or past AAS users exceed

156 ction of intensity-normalized nonenhanced T1-weighted images from CE T1-weighted images.

157 to pons and GP to thalamus on unenhanced T1-weighted images from the last and first examinations was

158 gions with the lowest signal intensity on T2-weighted images (>2.07, 49%, 88%, 0.685, and P = .0007,

159 001), areas of lowest signal intensity on T2-weighted images (>2.45, 57%, 97%, 0.852, and P = .0001,

160 5) of the microhemorrhages on susceptibility-weighted images had a more conspicuous appearance than o

161 ography on high angular resolution diffusion-weighted imaging (HARDI), we reconstructed pathways conn

162 Qualitative assessment of FA maps and T2-weighted images helped identify subjects with conduction

163 diffusion-weighted imaging in addition to T2-weighted imaging improved detection of prostate cancer i

164 Abdominal diffusion-weighted images in 10 healthy men (mean age, 37 years +/

165 d using high resolution, motion-corrected T2-weighted images in natural sleep, analysed using an auto

166 Use of diffusion-weighted imaging in addition to T2-weighted imaging impr

167 sk for metastases underwent whole-body 3D T1-weighted imaging in addition to the routine MR imaging p

168 More lesions were found at T2-weighted imaging in fatigued patients.

169 Diffusion weighted imaging in Patient S.P. and controls identifies

170 ort the need for further investigation of pH-weighted imaging in patients with acute ischaemic stroke

171 Diffusion-weighted imaging in the basal ganglia may provide a noni

172 DW imaging outperformed T2-weighted imaging in the PZ (OR, 3.49 vs 2.45; P = .008).

173 Conclusion DW imaging outperforms T2-weighted imaging in the PZ; T2-weighted imaging did not

174 s that an SI increase in the DN and GP on T1-weighted images is caused by serial application of the l

175 explain some of this variance, as diffusion weighted imaging is sensitive to the white matter disrup

176 ghted or fluid-attenuated inversion recovery-weighted images) is the standard method to diagnose tumo

177 for definite extraprostatic extension on T2-weighted images (kappa = 0.289).

178 ubstantial for features related to diffusion-weighted imaging (kappa = 0.535-0.619); fair to moderate

179 n clinical outcome despite reduced diffusion-weighted imaging lesion growth during therapy.

180 r uncertain to benefit (UTB) using diffusion-weighted imaging lesion volume and clinical criteria (ag

181 was associated with small, acute, diffusion-weighted imaging lesions and posterior white matter hype

182 Diffusion-weighted images, measures of trait anxiety and of reappr

183 k efficiency were assessed through diffusion-weighted imaging, measuring fractional anisotropy (FA) a

184 ntional and advanced MR sequences (perfusion-weighted imaging, MR spectroscopy, and diffusion-tensor

185 gnetic resonance protocol included cines, T2-weighted imaging, native T1 maps, 15-minute post-contras

186 T1-weighted imaging + PDFS imaging vs 3D T1-weighted imaging; observer 2: P < .001 for 2D T1-weighte

187 T1-weighted imaging + PDFS imaging vs 3D T1-weighted imaging; observer 2: P = .006 for 2D T1-weighte

188 al and coronal single-shot fast spin-echo T2-weighted images obtained at 1.5 T.

189 thin tumor lesions was detected on diffusion-weighted images obtained with a b value of 50 sec/mm(2),

190 djusting for ABCD2 score, positive diffusion-weighted imaging (odds ratio [OR] 3.8, 95% CI 2.1-7.0),

191 T1rho- and T2-weighted images of calf muscle were acquired using a mod

192 Unenhanced T1-weighted images of the brain in patients after six, 12,

193 n-recovery/T2-weighted images, and diffusion-weighted images of the brain.

194 proton signal enhancement is observed in T1-weighted images of the healthy mouse prostate after infu

195 were not discernable on the conventional T1-weighted images of the patients with PVNH.

196 3.2 minutes to image renal tubules, and T2*-weighted images of the same resolution were obtained wit

197 -dimensional high-spatial-resolution fast T1-weighted imaging of carotid artery walls.

198 ge = 27.4 +/- 6.3 years) underwent diffusion weighted imaging of the brain.

199 controls (61%) underwent high-resolution T2-weighted imaging of the orbits.

200 Diffusion-weighted imaging of transplanted kidneys is technically

201 s with 2,602 morphologic images (axial 2D T2-weighted imaging) of the prostate were obtained.

202 sted of transverse T2-weighted and diffusion-weighted images only.

203 ce imaging was performed with susceptibility-weighted imaging or gradient-recalled echo to assess CMB

204 P < .001 for 2D T1-weighted imaging vs 3D T1-weighted imaging, P < .001 for 2D T1-weighted imaging +

205 P < .001 for 2D T1-weighted imaging vs 3D T1-weighted imaging, P < .001 for 2D T1-weighted imaging +

206 P < .001 for 2D T1-weighted imaging vs 3D T1-weighted imaging, P = .006 for 2D T1-weighted imaging +

207 P = .006 for 2D T1-weighted imaging vs 3D T1-weighted imaging, P = .006 for 2D T1-weighted imaging +

208 s 3D T1-weighted imaging, P = .006 for 2D T1-weighted imaging + PDFS imaging vs 3D T1-weighted imagin

209 s 3D T1-weighted imaging, P = .006 for 2D T1-weighted imaging + PDFS imaging vs 3D T1-weighted imagin

210 s 3D T1-weighted imaging, P < .001 for 2D T1-weighted imaging + PDFS imaging vs 3D T1-weighted imagin

211 s 3D T1-weighted imaging, P < .001 for 2D T1-weighted imaging + PDFS imaging vs 3D T1-weighted imagin

212 istic curve) was higher for whole-body 3D T1-weighted imaging (per-patient analysis; observer 1: P <

213 T2-weighted imaging performed better but did not clearly ou

214 High-resolution diffusion-weighted imaging, performed within 48 hours after ablati

215 nces in MRI acquisitions including diffusion-weighted imaging, post-acquisition image processing tech

216 .32; post-IRE, 97.80 +/- 18.03; P = .004; T2-weighted images, pre-IRE, 47.37 +/- 18.31; post-IRE, 90.

217 sues was significantly altered after IRE (T1-weighted images: pre-IRE, 145.95 +/- 24.32; post-IRE, 97

218 of only transverse T2-weighted and diffusion-weighted imaging pulse sequences compared with that of a

219 Perfusion weighted imaging (PWI) and diffusion weighted imaging (D

220 Diffusion-weighted imaging quantified using the mono-exponential m

221 related to lesion texture and margins on T2-weighted images ranged from 0.136 (moderately hypointens

222 We also tested whether attenuation-weighted image reconstruction affects (18)F-NaF uptake i

223 -weighted imaging than with whole-body 2D T1-weighted imaging regardless of the reference region (bon

224 signal intensity increases on unenhanced T1-weighted images relative to reference tissues in the den

225 d inversion recovery and T1-weighted and T2*-weighted images, respectively, compared between the grou

226 Thirteen months later, diffusion-weighted images revealed a bilateral cortical ribbon sig

227 t multimodal T1 volumetric MRI and diffusion weighted imaging scans.

228 d-attenuated inversion recovery or diffusion-weighted imaging scores (area under the receiver operati

229 maging for peripheral zone lesions and to T2-weighted imaging scores for transitional zone lesions we

230 uspected PML using MRI including a diffusion-weighted imaging sequence.

231 ging (computed tomographic scan or diffusion-weighted imaging sequences on magnetic resonance imaging

232 -attenuated inversion recovery and diffusion-weighted imaging sequences predominantly involving the p

233 -attenuated inversion recovery and diffusion-weighted imaging sequences were analyzed by using valida

234 quences were interspersed with two diffusion-weighted imaging series.

235 images and kurtosis on contrast-enhanced T1-weighted images showed a significant difference between

236 Kurtosis (SSF, 2) on T2-weighted images showed a significant difference between

237 Susceptibility weighted imaging (SWI) is a velocity compensated, high-r

238 intensity (DNH) on high-field susceptibility-weighted imaging (SWI), a novel magnetic resonance imagi

239 cute stages by comparing with susceptibility weighted imaging (SWI).

240 thresholds for AAR is 33% and IS is 46%), T2-weighted imaging, T1 maps, and acute LGE.

241 BOLD MRI and T1-weighted imaging (T1WI) were collected for 52 patients w

242 egion of interest (ROI)-based measures on T2-weighted images (T2wi) were quantitatively evaluated in

243 imaging (volumetric measures derived from T1-weighted images, task-based functional magnetic resonanc

244 e significantly higher with whole-body 3D T1-weighted imaging than with whole-body 2D T1-weighted ima

245 mal prostate, and hypointense features on T2-weighted imaging; these findings were highly suspicious

246 quantify WM lesion loads (LLs) and diffusion-weighted images to assess their microstructural substrat

247 s were manually segmented on the ventilation-weighted images to obtain QV measurements, which were co

248 verlaid on coregistered three-dimensional T1-weighted images to visually assess regions of heterotopi

249 ing pattern by adding quantitative diffusion-weighted imaging to standard MR imaging protocols.

250 ced lesion length); and (iv) brain diffusion-weighted imaging (to derive optic radiation fractional a

251 etic resonance imaging at rest and diffusion-weighted imaging tractography.

252 ume generation from a patient-specific MR T1-weighted image using a groupwise patch-based approach an

253 hology was identified through analysis of T1-weighted images using voxel-based morphometry.

254 is, and healthy tissue were delineated on T2-weighted images, using histology as a reference.

255 ion analysis; observer 1: P < .001 for 2D T1-weighted imaging vs 3D T1-weighted imaging, P < .001 for

256 hted imaging; observer 2: P < .001 for 2D T1-weighted imaging vs 3D T1-weighted imaging, P < .001 for

257 ent analysis; observer 1: P < .001 for 2D T1-weighted imaging vs 3D T1-weighted imaging, P = .006 for

258 hted imaging; observer 2: P = .006 for 2D T1-weighted imaging vs 3D T1-weighted imaging, P = .006 for

259 MR true-positive lesions were measured on T2-weighted images (VT2), on ADC maps (VADC), and on DCE im

260 multiple logistic regression, kurtosis on T2-weighted images was independently associated with pCR in

261 Marked hyperintensity on T2-weighted images was seen in 12 of 14 (86%) inflammatory

262 Increased signal intensity on unenhanced T1-weighted images was seen in the posterior thalamus, subs

263 in areas with lowest signal intensity on T2-weighted images was used to classify 95% of patients cor

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

265 T1-weighted imaging was the best sequence to assess longitu

266 T1-weighted imaging was the best sequence to measure tumour

267 In the present study susceptibility weighted imaging was used to assess atrophy of the cereb

268 ance (MR) imaging (T1-weighted and diffusion-weighted imaging) was performed with a 3-T MR imager.

269 ation inversion recovery, and susceptibility-weighted images, was evaluated by neuroradiologists by u

270 n (TR = 333 ms) combined with susceptibility-weighted imaging, we show how signal changes in the amyg

271 ng a combination of EEG, fMRI, and diffusion-weighted imaging, we show that activity in the right aud

272 l image series and a 3-dimensional diffusion-weighted image were acquired in separate breathing maneu

273 aging (MRI), T1 maps, proton density, and T2-weighted images were acquired before and after EAE induc

274 High-resolution anatomical T1-weighted images were acquired in 126 anoxic coma patient

275 fluid-attenuated inversion recovery and T2*-weighted images were acquired in 14 AD patients and 18 c

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

277 Gray matter volumes from 3-T T1-weighted images were analyzed using the VBM8 toolbox for

278 Patients' T1-weighted images were automatically parcellated into cort

279 nexal lesions with hyperintense signal on T1-weighted images were identified.

280 High-b-value diffusion-weighted images were more discriminative in distinguishi

281 Signal intensity values on T2-weighted images were not useful for differentiating thes

282 High-resolution T1-weighted images were obtained in aphasia patients and 30

283 The following T1-weighted images were obtained in healthy subjects: (A) r

284 Oblique sagittal diffusion-weighted images were obtained with b values of 0, 400, a

285 nal magnetic resonance imaging and diffusion-weighted imaging were performed in 35 participants with

286 T1-weighted and diffusion-weighted imaging were performed, and volume and cortical

287 T1-weighted images with 70-mum in-plane resolution and 200-

288 T2 TIRM and T1-weighted images with and without contrast enhancement we

289 ng before and after CRT, including diffusion-weighted imaging with 34 b values prior to surgery.

290 healthy control subjects underwent diffusion-weighted imaging with a range of diffusion weightings pe

291 Diffusion-weighted imaging with ADC mapping is not sufficient for

292 DW diffusion-weighted imaging with combined parallel imaging and rs-E

293 one, T2-weighted imaging with DW imaging, T2-weighted imaging with DCE imaging, and T2-weighted imagi

294 T2-weighted imaging with DCE imaging, and T2-weighted imaging with DW and DCE imaging, with at least

295 oint scale for T2-weighted imaging alone, T2-weighted imaging with DW imaging, T2-weighted imaging wi

296 tor of seven when compared with DW diffusion-weighted imaging with ss-EPI single-shot echo-planar ima

297 We then used diffusion-weighted imaging with tractography to assess white matte

298 sing multiplanar half-Fourier single-shot T2-weighted imaging without and with spectral adiabatic inv

299 nt high-spatial-resolution axillary 3.0-T T2-weighted imaging without fat suppression and DW imaging

300 standardized uptake value (SUVmax), SI on T2-weighted images x SUVmax, and ADC x SUVmax values at lev

301 MR enterography biomarkers, SUVmax, SI on T2-weighted images x SUVmax, and ADC x SUVmax, showed signi