ライフサイエンスコーパス: weighted image

1 me anatomical location prescribed for the T1-weighted images.

2 for each individual from high-resolution T1-weighted images.

3 tic resonance imaging was used to acquire T1-weighted images.

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

5 eous contrast enhancement on postcontrast T1-weighted images.

6 rated postcontrast T1- and fat-suppressed T2-weighted images.

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

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

9 m 600mum isotropic resolution susceptibility-weighted images.

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

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

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

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

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

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

16 ogist performed qualitative evaluation of T1-weighted images.

17 recontrast and postcontrast fat-saturated T1-weighted images.

18 No enhancement was seen on post-contrast T1-weighted images.

19 omated segmentation model for proton density-weighted images.

20 d inversion recovery, T1, and susceptibility-weighted imaging.

21 with DIR, and 0.99 with contrast-enhanced T1-weighted imaging.

22 nces for anatomic correlation, and diffusion-weighted imaging.

23 nal magnetic resonance imaging and diffusion-weighted imaging.

24 dentified and localized using susceptibility weighted imaging.

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

26 f executive function and underwent diffusion-weighted imaging.

27 identifiedin these patients using diffusion weighted imaging.

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

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

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

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

32 al connectivity was examined using diffusion-weighted imaging.

33 line and 1-year spinal cord 3-dimensional T1-weighted images (1mm isotropic) were obtained from 282 p

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

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

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

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

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

42 nspedal MR lymphangiography at 1.5 T with T1-weighted imaging after interstitial pedal of gadolinium-

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

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

45 Susceptibility weighted imaging allowed depiction of atrophy of the cer

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

47 bridges were calculated from midsagittal T2-weighted images and compared across groups.

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

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

50 ly segmented T2-weighted and postcontrast T1-weighted images and initialized using random-weights or

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

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

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

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

55 esions detected only on contrast-enhanced T1-weighted images and the assessment of interval progressi

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

57 intravenous contrast use) and consists of T2-weighted imaging and 3 separate diffusion-weighed imagin

58 paediatrics there is inclusion of diffusion-weighted imaging and a higher reliance on T2-weighted fl

59 for cancer in men who underwent MRI with T2-weighted imaging and ADC mapping (b values, 50-1400 sec/

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

61 ing active DBS underwent 1.5- or 3-T MRI (T1-weighted imaging and gradient-recalled echo [GRE]-echo-p

62 structure-function coupling using diffusion-weighted imaging and n-back functional MRI data in a sam

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

64 tively further evaluated by thorax diffusion-weighted imaging and PET/CT.

65 onnectivity fingerprints, based on diffusion-weighted imaging and resting-state connectivity, localiz

66 imaging, late gadolinium enhancement, and T2-weighted imaging and T1 mapping).

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

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

69 Using diffusion-weighted imaging and voxel-wise multilevel modeling, the

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

71 ), MRI (abbreviated and ultrafast, diffusion-weighted imaging), and molecular breast imaging.

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

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

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

75 ative susceptibility mapping, susceptibility weighted imaging, and diffusion tensor imaging tractogra

76 ing evidence from task-based fMRI, diffusion-weighted imaging, and functional connectivity fingerprin

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

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

79 precession (cine bSSFP), T1-weighted and T2-weighted imaging, and quantitative T1 and T2 mapping in

80 ith dynamic contrast-enhanced MRI, diffusion-weighted imaging, and the radiotracer (18)F-FDG.

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

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

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

84 gnetic resonance imaging including diffusion-weighted imaging around term-equivalent age (median = 42

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

86 aging, particularly structural and diffusion weighted imaging, as biomarkers.

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

88 ccurately than standard high-resolution T(2)-weighted imaging assessment.

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

90 s who underwent repeated (<7 days) diffusion-weighted imaging at 1.5 T and 3 T.

91 parent diffusion coefficient (from diffusion-weighted imaging), background parenchymal enhancement (B

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

93 MRI tumor enhancement was assessed on T1-weighted images before and up to 30 minutes after inject

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

95 bits underwent 3-T MRI, including T1- and T2-weighted imaging, before and 24 hours after contrast mat

96 tibia were determined using the standard T1-weighted images (BMFV(T1) and BMFF(T1), respectively) an

97 We use diffusion-weighted imaging, cognitive testing and network analyses

98 88 control subjects using high-resolution T1-weighted images, collected from a 3.0-Tesla magnetic res

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

100 Conclusion Multislice cardiac diffusion-weighted images could be acquired in those with acute my

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

102 tractography results derived from diffusion-weighted imaging data, but tractography is an indirect m

103 The diffusion weighted imaging demonstrated restricted diffusion in th

104 ormation on grape berries morphology through weighted images depending on spin-spin (T2) and spin-lat

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

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

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

108 ratio of PET-derived SUV(mean) and diffusion-weighted imaging-derived minimum ADC was introduced as a

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

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

111 Conclusion Diffusion-weighted imaging, diffusion-tensor imaging, and intravox

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

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

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

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

116 set, magnetic resonance (MR)-based diffusion-weighted imaging (DWI) and fluid-attenuated inversion re

117 plexed sensitivity-encoding (MUSE) diffusion-weighted imaging (DWI) and single-shot DWI for lesion vi

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

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

120 nhanced (DCE) MRI with established diffusion-weighted imaging (DWI) compared with traditional single-

121 pared to manual segmentation using diffusion weighted imaging (DWI) data.

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

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

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

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

126 Dynamic Contrast Enhanced (DCE) or Diffusion Weighted Imaging (DWI) have been included in the evaluat

127 Diffusion-weighted imaging (DWI) is a neuroimaging technique that

128 rebral artery (MCA), within/beyond diffusion-weighted imaging (DWI) lesion) or extent.

129 the frequency and determinants of diffusion-weighted imaging (DWI) lesions on high-resolution magnet

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

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

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

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

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

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

136 , we used a human connectome style diffusion-weighted imaging (DWI) sequence to quantify white matter

137 Background Diffusion-weighted imaging (DWI) shows promise in detecting and mo

138 ithm including T2-weighted MRI and diffusion-weighted imaging (DWI) signal and apparent diffusion coe

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

140 This was tested by using diffusion-weighted imaging (DWI) to construct whole-brain white-ma

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

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

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

144 Conclusion Diffusion-weighted imaging (DWI) was accurate in detecting arthrit

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

146 Diffusion-weighted imaging (DWI) was obtained with 'b' values of 3

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

148 Thus, longitudinal diffusion-weighted imaging (DWI) was used to investigate WM abnorm

149 Patients with positive diffusion-weighted imaging (DWI) were identified as imaging-based

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

151 netic resonance imaging (DCE-MRI), diffusion weighted imaging (DWI), and dynamic positron emission to

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

153 tic performance of parameters from diffusion-weighted imaging (DWI), diffusion-tensor imaging (DTI),

154 e ratio of PET-derived SUVmean and diffusion-weighted imaging (DWI)-derived ADCmin was introduced as

155 ractional anisotropy (FA) based on diffusion-weighted imaging (DWI).

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

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

158 (N = 349; defined by absence of a diffusion weighted imaging [DWI] positive lesion on magnetic reson

159 of advanced MRI sequences such as diffusion-weighted imaging, dynamic contrast enhanced sequences, a

160 of advanced MRI sequences such as diffusion weighted imaging, dynamic contrast enhanced sequences, a

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

162 attenuated inversion recovery- and diffusion-weighted imaging+/fluid-attenuated inversion recovery+ a

163 agnetic resonance imaging revealed diffusion-weighted imaging+/fluid-attenuated inversion recovery- a

164 ion MRI, perfusion CT, or MRI with diffusion weighted imaging-fluid attenuated inversion recovery (DW

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

166 hite matter lesion segmentation and 3.0-T T1-weighted images for cortical surface reconstruction and

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

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

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

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

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

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

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

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

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

176 T, PET/CT, and whole-body MRI with diffusion-weighted imaging, have improved diagnostic accuracy in s

177 vealed severe leukoencephalopathy; diffusion-weighted imaging hyperintensity in the corticomedullary

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

179 ments were superior to those derived from T1-weighted images in identifying age-related atrophy.

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

181 entate nucleus is increased in unenhanced T1-weighted images in patients who have undergone multiple

182 We performed diffusion-weighted imaging in 100 patients with Parkinson's diseas

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

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

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

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

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

188 orphological brain networks (derived from T1-weighted images) in both healthy and disordered populati

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

190 t multiplexed sensitivity-encoding diffusion-weighted imaging is a feasible and easily implementable

191 Diffusion-weighted imaging is a useful adjunct with relatively hig

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

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

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

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

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

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

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

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

200 ontrol in these seven groups, from diffusion-weighted imaging (n = 300), we compared white matter fra

201 opy (FA), mean diffusivity (MD), and from T1-weighted imaging (n = 333), subcortical volumes and cort

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

203 recontrast T1-weighted and fat-suppressed T2-weighted images (no contrast agent).

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

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

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

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

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

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

210 igated 3D UTE sequences yield proton density-weighted images of the lungs that are similar in quality

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

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

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

214 ast screening.Keywords: Breast, MR-Diffusion Weighted Imaging, OncologySupplemental material is avail

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

216 tensities greater than or equal to 50% at T2-weighted imaging (OR, 2.3; P = .04).

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

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

219 Addition of fat-saturated T2-weighted images provided modest improvement in sensitivi

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

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

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

223 lied probabilistic tractography to diffusion-weighted images, reconstructing a subcortical pathway to

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

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

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

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

228 (3D) T1-weighted, T2-weighted, and diffusion-weighted imaging; sagittal two-dimensional (2D) short in

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

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

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

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

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

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

235 MRI and appropriate structural and diffusion weighted imaging sequences: 70 patients with bvFTD and 7

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

237 Enhanced lesions on postcontrast T1-weighted images served as the ground truth.

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

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

240 T1-weighted images showed hyperintense vagus medullar stria

241 es including lymphadenopathy, high diffusion-weighted imaging signal with reference to endometrium, a

242 can be directly visualized on susceptibility-weighted imaging (SWI) acquired at 7 T.

243 arent susceptibility based on susceptibility weighted imaging (SWI) for differential diagnosis.

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

245 to assess the suitability of susceptibility-weighted imaging (SWI) sequences using the 3T MRI-unit f

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

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

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

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

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

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

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

253 t (EPC) was achieved by combining T1- and T2-weighted images that were adaptively filtered to remove

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

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

256 Here we combine T1- and T2-weighted images to enhance PVS contrast, intensifying th

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

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

259 we aim to evaluate the ability of diffusion- weighted imaging to differentiate these two groups of ve

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

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

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

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

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

265 Visual qualitative analysis of diffusion-weighted images was accomplished by two independent read

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

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

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

269 ed using 11 550 manually segmented native T1-weighted images was used to segment the myocardium for a

270 robabilistic tractography based on diffusion-weighted imaging was performed in individual patient-spe

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

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

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

274 Diffusion-weighted imaging was used to compare atypical haemangiom

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

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

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

278 NM-MRI and T(1)-weighted images were acquired from 20 participants with

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

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

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

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 T2-weighted images were scored as lymphatic type 1 (little

286 anced (gadoterate meglumine, 0.1 mmol/kg) T1-weighted images were separately assessed for new or enla

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

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

289 manuscript only presents a post-contrast T1-weighted image, whereas multiple MRI-sequences need to b

290 showing a hypersignal on the trace diffusion-weighted image with reduction or pseudonormalization of

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

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

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

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

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

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

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

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

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

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