ライフサイエンスコーパス: retinal image

1 tion, which are inherently confounded in the retinal image.

2 motion and self-motion are confounded in the retinal image.

3 ral remodeling triggered by deprivation of a retinal image.

4 bjects is maintained across movements of the retinal image.

5 en its simplicity and direct relation to the retinal image.

6 mulus orientation and the global form of the retinal image.

7 t varies as a function of orientation in the retinal image.

8 a way that caused only minor changes to the retinal image.

9 has no significant function in improving the retinal image.

10 ina, only a single class of cone samples the retinal image.

11 s are important in the interpretation of the retinal image.

12 ch as changes in the size or location of the retinal image.

13 ents add rotational velocity patterns to the retinal image.

14 ld signal pattern-independent changes in the retinal image.

15 fluctuations, noise, and discontinuities in retinal images.

16 oint spread function images and in simulated retinal images.

17 e point spread function images and simulated retinal images.

18 fractal dimension were measured from digital retinal images.

19 etinal arteries and veins on optical section retinal images.

20 cations to construct depth-displaced en face retinal images.

21 llenging because each object produces myriad retinal images.

22 Cone densities were quantified for all retinal images.

23 ies, quantified by cone density, occurred in retinal images.

24 ble physical sources underlying the relevant retinal images.

25 bution of the possible real-world sources of retinal images.

26 ain's reconstruction of contours absent from retinal images.

27 as subtle differences between left and right retinal images.

28 em must match corresponding parts of the two retinal images.

29 1) best reflect stimulus position in the two retinal images.

30 hat allow recording of these changes, termed retinal imaging.

31 tially provide additional benefit to digital retinal imaging.

32 for precise targeting of areas for advanced retinal imaging.

33 els can be noninvasively measured in vivo by retinal imaging.

34 axial scan (A-scan), was developed for mouse retinal imaging.

35 etection has been developed for small animal retinal imaging.

36 raphy (OCT) has become a standard-of-care in retinal imaging.

37 eral pigmented retinal lesions on wide-field retinal imaging.

38 ng wavelength of 1060 nm for high resolution retinal imaging.

39 isturbance of the central macula on detailed retinal imaging.

40 and OCTA are gaining popularity in pediatric retinal imaging.

41 es underwent full ophthalmic examination and retinal imaging.

42 generation, or elevated cup-to-disc ratio on retinal imaging.

43 roductive health questionnaire and underwent retinal imaging.

44 tients with Stargardt disease and wide-field retinal imaging, 14 had peripheral pigmented retinal les

45 ven a training set of proximal stimuli (e.g. retinal images), a response noise model, and a cost func

46 high resolution cross-sectional and en face retinal image acquisition and display was performed in r

47 The PLR optimizes the optical quality of the retinal image across illumination conditions, increasing

48 s paper concerns the validation of automatic retinal image analysis (ARIA) algorithms.

49 Deep learning in retinal image analysis achieves excellent accuracy for t

50 Thus, the retinal image and functional extraocular muscles appeare

51 of analyzing the visual input of the entire retinal image and pinpointing the spatial location of an

52 er exclusion of participants with ungradable retinal images and type 1 diabetes, 420 patients (mean [

53 mprehensive ophthalmic assessment, including retinal imaging and electrodiagnostic testing.

54 tailed clinical assessment, including serial retinal imaging and electrophysiologic evaluation, at Mo

55 able than AON, where a new array of tools in retinal imaging and electrophysiology has advanced our a

56 Digital retinal imaging and fluorescein angiography (FA) were pe

57 antiate previous observations with real-time retinal imaging and parallel reported vascular toxic eff

58 ngly used in laboratories for in vivo animal retinal imaging and pre-clinical studies.

59 Retinal integrity was also assessed with retinal imaging and upon the end of the study by light a

60 the retina, the retinofugal projection, the retinal image, and the extraocular muscles, to obtain an

61 ave included both stabilized and unstablized retinal images, and report the maximum observable rate a

62 s, visual acuity, visual field measurements, retinal imaging, and electrophysiologic features were ex

63 If displacements of the retinal image are prevented, the image quickly fades fro

64 e important during cortical development when retinal images are blurred by immature optics in infant

65 For each of 20 input polarizations, pairs of retinal images are digitized.

66 "Floor effects" in retinal imaging are defined as the points at which no fu

67 its center of projection generates the same retinal image as the original scene, so the viewer perce

68 lar abnormality and evaluated the utility of retinal imaging as a tool for schizophrenia research.

69 These findings highlight the promise of retinal imaging as a tool for understanding the pathogen

70 oaneurysm (H/Ma) using ultrawide field (UWF) retinal imaging as compared with standard Early Treatmen

71 O) fundus camera was used to acquire in vivo retinal images at the cellular level.

72 underwent an oral glucose tolerance test and retinal imaging at 26-28 weeks gestation (n = 542).

73 amination, electrophysiological testing, and retinal imaging at a genetic eye disease clinic of a ter

74 Study members underwent retinal imaging at age 38.

75 Structural retinal imaging biomarkers are important for early recog

76 A reduced sensitivity to retinal image blur has been reported in myopes.

77 efractive groups that may lead to periods of retinal image blur of varying magnitude during near work

78 eyes and head to track objects displaces the retinal image but does not affect our ability to navigat

79 At age 46, MM regained his retinal image, but his visual abilities, even seven year

80 and spatial extent of visual elements in the retinal image, but it is unclear whether this organizati

81 tional self-motion disturbs the stability of retinal images by inducing a pattern of retinal optic fl

82 examinations by indirect ophthalmoscopy and retinal imaging by handheld SD OCT, without sedation, at

83 In vivo retinal imaging by means of optical coherence tomography

84 Retinal imaging by nonphysicians with remote image inter

85 ectroretinography, color vision testing, and retinal imaging by OCT, pseudocolor, and autofluorescenc

86 The resulting differences in the two retinal images, called binocular disparities, provide us

87 pathways adapt to changes in contrast of the retinal image caused by external motion or self-generate

88 ee objects as having continuity although the retinal image changes frequently.

89 Case notes and retinal imaging (color fundus photography [CFP], spectra

90 Using retinal imaging combined with behavioral measurements, w

91 The use of a nonmydriatic camera for retinal imaging combined with the remote evaluation of i

92 vements add global patterns of motion to the retinal image, complicating visual motion produced by se

93 oth proportionately, so they do not increase retinal image contrast or decrease disability glare.

94 the amblyopic deficits and the reduction in retinal image contrast produced by the diffuser lenses.

95 nctional vision requires more than improving retinal image contrast.

96 Seven-year visual outcomes and retinal imaging data were compared with the ANCHOR, MARI

97 We used a retrospective retinal image dataset of 86 pediatric patients with clin

98 do not become myopic implies a threshold for retinal image degradation below which the emmetropizatio

99 opia is strongly influenced by the degree of retinal image degradation experienced early in life.

100 relationship between these lens features and retinal image degradation is plausible.

101 of the lateral separation of the orbits, the retinal images differ in the two eyes.

102 ans can discern object motion from identical retinal image displacements induced by eye movements, bu

103 ocal motion within the scene from the global retinal image drift due to fixational eye movements.

104 ns wearers are caused by poor quality of the retinal image due to TBU.

105 Glimpses of a stationary retinal image during simulated foveation periods do not

106 The vestibulo-ocular reflexes stabilize retinal images during head movements.

107 dly several times per second, displacing the retinal image each time.

108 ied surface motion rather than the motion of retinal image features.

109 Dancers gauge distance by retinal image flow on the way to their destination.

110 DR was assessed using two-field 45-degree retinal images for each eye.

111 ssing the quality of 45 degrees single field retinal images for use in diabetic retinopathy screening

112 here has been growing interest in the use of retinal imaging for tracking disease progression in mult

113 Retinal images from 20 258 consecutive patients attendin

114 In 51 retinal images from 51 infants, mean +/- SD values obtai

115 d while independently reviewing 7 wide-angle retinal images from infants with retinopathy of prematur

116 -generated mosaic photographs) of wide-angle retinal images from infants with ROP.

117 ity of California Davis were used to acquire retinal images from patients with optic neuropathy: (1)

118 Digital retinal images (from August 2002 to January 2004) from 6

119 repancies in findings of ROP between digital retinal image grading and examination results from the T

120 To determine the symmetry on retinal image grading of fellow eyes for retinopathy of

121 ative visits, and annually thereafter, using retinal image grading.

122 nsional (3D) world from two-dimensional (2D) retinal images has received a great deal of interest as

123 Here, adaptive optics retinal imaging has revealed a mechanism for producing d

124 Molecular diagnosis and improvements in retinal imaging have greatly improved the accuracy of di

125 As such, advances in retinal imaging have proven fundamental to many paradigm

126 eds to identify matching features in the two retinal images (i.e., solving the "stereoscopic correspo

127 e studied the cortical representation of the retinal image in mice that spontaneously switched betwee

128 the microscopic eye movements that keep the retinal image in motion during visual fixation.

129 High-resolution retinal images in CHM carriers and affected males demons

130 This provides the most highly resolved retinal images in vivo when compared with other availabl

131 Infants underwent serial digital retinal imaging in both eyes starting at 32 weeks' postm

132 High-resolution retinal imaging in combination with scotopic fundus-cont

133 increased, especially with the shift toward retinal imaging in infants at risk of ROP.

134 etinal imaging, which emphasizes the role of retinal imaging in patients with diabetes mellitus type

135 e lifetime imaging ophthalmoscopy (FLIO) for retinal imaging in patients with MacTel.

136 Multimodal retinal imaging including en face OCT segmentation of th

137 Clinical examination and comprehensive retinal imaging, including spectral-domain optical coher

138 RFI, a noninvasive retinal imaging instrument, revealed vessel loops, verti

139 An international panel with expertise in retinal imaging (International Nomenclature for Optical

140 cal signal that can be used to unite jumping retinal images into a consistent visual scene.

141 e of the visual system is to combine the two retinal images into a single representation of the visua

142 ternal saccade vector used to unite separate retinal images into a stable visual scene.

143 Diabetic retinopathy was graded from 2-field retinal images into categories of no DR (Early Treatment

144 e move our gaze through a complex scene, the retinal image is constantly shifted and overwritten.

145 d dramatic visual illusion suggests that the retinal image is decomposed by the brain into overlappin

146 tracking a nearby object on the ground, the retinal image is disrupted and the focus is shifted away

147 world as three-dimensional, but because the retinal image is flat, we must derive the third dimensio

148 The size of a retinal image is inversely related to the distance to th

149 s during normal visual experience, after the retinal image is shifted through prismatic goggles, and

150 Sensory information in the retinal image is typically too ambiguous to support visu

151 rate 3D representations of the world from 2D retinal images is a fundamental task for the visual syst

152 retinopathy (DR) by expert human grading of retinal images is challenging.

153 Manual grading of lesions in retinal images is relevant to clinical management and cl

154 High-quality retinal imaging is feasible with an MMOCT system.

155 Reported retinal imaging is lacking, and whether the condition is

156 High-definition and three-dimensional retinal imaging is performed in vivo in mouse and rat mo

157 We investigated the effect of retinal-image jitter on word recognition speed and facia

158 ptoelectronic approaches were used to induce retinal-image jitter with duration of 100 or 166 ms and

159 Results suggest that retinal-image jitter with optimal frequency and amplitud

160 a visible target requires the combination of retinal image location with eye and head position to det

161 Binocular disparities of retinal image locations are correlated with variation in

162 through space produces one global pattern of retinal image motion (optic flow), rotation another.

163 Two-muscle T&R reduces horizontal retinal image motion and can improve visual acuity in ac

164 he eyes on the surroundings by responding to retinal image motion at ultra-short latencies.

165 erally attributed to a 'cancellation' of the retinal image motion by extraretinal information about t

166 The resulting retinal image motion counterbalances the spectral distri

167 y during ocular drift, the primary source of retinal image motion during fixation on a stationary sce

168 ewing of static scenes, when there is little retinal image motion during the interval between saccade

169 uggests that reduced acuity is the result of retinal image motion from nystagmus.

170 known that visual percepts tend to fade when retinal image motion is eliminated in the laboratory.

171 elocity storage processing by the persistent retinal image motion present in these patients.

172 ion relative to head motion nor the phase of retinal image motion relative to eye movement could cons

173 y to previous theories, neither the phase of retinal image motion relative to head motion nor the pha

174 Retinal image motion simulating that in jerk nystagmus w

175 this ambiguity can be resolved by combining retinal image motion with signals regarding eye movement

176 han the point of fixation requires combining retinal image motion with signals related to eye rotatio

177 he macaque middle temporal (MT) area combine retinal image motion with smooth eye movement command si

178 ture for the arterioles was calculated using Retinal Image multi-Scale Analysis (RISA) software.

179 images were processed by the computer-based Retinal Image multiScale Analysis (RISA) system to calcu

180 h the corresponding FA images) of wide-angle retinal images obtained from 16 eyes of 8 infants with R

181 h as dendrites and axons, can be resolved in retinal images obtained from the living primate eye was

182 Digital retinal images of both dilated eyes were taken and evalu

183 urysms/hemorrhages were evaluated on digital retinal images of both eyes.

184 , or small geometric differences between the retinal images of each eye.

185 study comprising 189 Optic Disc (OD) centred retinal images of healthy and diabetic individuals aged

186 ddition, point spread function and simulated retinal images of ICLs were calculated from the wavefron

187 We obtained retinal images of one eye of 45 healthy participants.

188 rations of the eye, adaptive optics produced retinal images of the 0.75' spot that were 3.0 microm wi

189 nt objects and tolerance to vastly different retinal images of the same object, resulting from natura

190 With this technique, retinal imaging of age-related changes in retinal and su

191 This study used longitudinal retinal imaging of mice expressing cyan fluorescent prot

192 mography (SD-OCT) for three-dimensional (3D) retinal imaging of small animals and quantitative retina

193 words, primates keep the central part of the retinal image on the fovea (where photoreceptor density

194 terms of the dynamic visual features in the retinal image or in terms of the moving surfaces in the

195 Fifteen de-identified, wide-angle retinal image pairs were taken from infants who eventual

196 ding full ophthalmic examination, multimodal retinal imaging, perimetry, and electrophysiology.

197 utations were studied by ocular examination, retinal imaging, perimetry, full-field sensitivity testi

198 Despite incessant motion of the retinal image, persons with congenital nystagmus (CN) us

199 l coordinates, by combining eye position and retinal image position in each eye and representing disp

200 Here, the authors used a novel ex vivo retinal imaging preparation to examine the behavioral ph

201 e despite the continual displacements of the retinal image produced by rapid saccadic movements of th

202 s in a feedback manner through shifts in the retinal image produced by the primary response.

203 cognize objects and faces across a myriad of retinal images produced by each object.

204 Retinal imaging provides objective documentation of vasc

205 ic profiles resulted in significantly better retinal image quality and higher decentration tolerance

206 dation interact with pupil size to influence retinal image quality and possibly eye growth.

207 nown and yet have a large impact on habitual retinal image quality and visual experience.

208 Optical metrics of tear quality and retinal image quality are associated with the decline in

209 Retinal image quality in pseudophakic eyes is limited by

210 is of growing interest as degradation of the retinal image quality in the periphery is known to affec

211 Retinal image quality may consequently vary for the diff

212 at eye's aberrations, direct measurements of retinal image quality reveal some blur beyond that expec

213 meter, ablation decentration, and defocus on retinal image quality was measured by using the optical

214 lar lenses offer the promise of near perfect retinal image quality, such that only diffraction, chrom

215 tion in KC eyes was substantial and degraded retinal image quality.

216 the brain extracts depth from two different retinal images represents a tractable challenge in senso

217 al experience with an asymmetrically blurred retinal image, resulting in improved visual performance.

218 linical, functional, and OCT cross-sectional retinal imaging results.

219 Wide-angle retinal images (RetCam; Clarity Medical Systems, Pleasan

220 tion occurs from a representation of the two retinal images (retinotopy) to a representation of a sin

221 Retinal imaging revealed the accumulation of GFP-tagged

222 Wide-field retinal imaging revealed the presence of peripheral pigm

223 Infants underwent serial retinal imaging sessions in both eyes by certified image

224 ch eye independently for ROP features in a 5 retinal-image set from each session.

225 ysician trained readers evaluated wide-field retinal image sets for characteristics of ROP, pre-plus/

226 The validity of grading retinal image sets was based on the sensitivity and spec

227 ercept, enabling the brain to anticipate the retinal image shifts by remapping the neural image.

228 al stability, the brain must distinguish the retinal image shifts caused by eye movements and shifts

229 th the same viewpoint, regardless of whether retinal image size changed; left fusiform decreases were

230 to a dynamically scaled function of angular retinal image size, (t), specifically kappa(t) = (t-delt

231 ng; the learning did not generalize to a new retinal image size, and re-training was necessary for di

232 during the experiment in order that the net retinal image slip at the point of maximum visual comfor

233 vity in slow fixational eye movements; i.e., retinal image slip caused by physiological drift.

234 In addition to the well-known signals of retinal image slip, floccular complex spikes (CSs) also

235 We characterized retinal-image slip in monkeys immediately after microsac

236 picture is viewed from other locations, the retinal image specifies a different scene, but we normal

237 apsulated cells was monitored by noninvasive retinal imaging (Spectralis HRA+OCT).

238 Using a new method of retinal image stabilization, we selectively eliminated t

239 ugate left-right eye rotations for effective retinal image stabilization.

240 Retinal imaging studies of mice overexpressing fused alp

241 ents with FRMD7 mutations underwent detailed retinal imaging studies using ultrahigh-resolution optic

242 single update visit, clinical assessment and retinal imaging studies were performed, with comparison

243 e has been greatly helped by improvements in retinal imaging such as spectral domain optical coherenc

244 nalysis of the effects of astigmatism on the retinal image suggests that this "logical" refutation of

245 iatic fundus photography via the Intelligent Retinal Imaging System (IRIS) from June 2013 to April 20

246 A swept-source OCT retinal imaging system operating at a speed of 249,000 a

247 To develop a retinal imaging system suitable for routine examination

248 custom-built, high-speed Fourier-domain OCT retinal imaging system was used to image retinas of two

249 n by trained nonphysician readers of digital retinal images taken by trained nonphysician imagers fro

250 nonexpert graders each evaluated 182 mosaic retinal images taken from the eyes of patients with AIDS

251 Advantages and disadvantages of current retinal imaging technologies and recommendations for the

252 ide an overview of current, state-of-the-art retinal imaging technologies, as well as highlight many

253 As with most retinal imaging technologies, ocular magnification chara

254 unambiguous interpretation of data from the retinal image that is useful for the decisions and actio

255 we selectively eliminated the motion of the retinal image that normally occurs during the intersacca

256 Blur is an intrinsic feature of retinal images that varies widely across images and obse

257 ported diabetes, of whom 93% (1004/1076) had retinal images that were gradable for DR.

258 gested that fixational microsaccades refresh retinal images, thereby preventing adaptation and fading

259 requent and substantial displacements of the retinal image, these displacements go unnoticed.

260 osed more than a century ago, to improve the retinal image through optical mechanisms.

261 nly the perceived relationship of the entire retinal image to the observer, but also the relations be

262 hy of the visual system allows two disparate retinal images to combine to form a single picture with

263 support further investigation of the use of retinal imaging to diagnose AD and to monitor disease ac

264 Here, we used high-resolution retinal imaging to examine the cone mosaic in two indivi

265 ertified to detect ROP morphology in digital retinal images under supervision of an ophthalmologist r

266 spatial-domain optical coherence tomography retinal imaging unit.

267 presence and severity of DR were graded from retinal images using the modified Airlie House Classific

268 e recently been supplanted by the results of retinal imaging using Optical Coherence Tomography (OCT)

269 Retinal imaging using optical coherence tomography in ra

270 en achieved recently through high-resolution retinal imaging using optical coherence tomography.

271 shapes of rigid objects as constant despite retinal-image variations caused by changes in orientatio

272 3-D surface structure, in addition to coding retinal image velocities.

273 ce increased the percentage of time in which retinal image velocity was within +/-4 degrees/sec from

274 To examine and review digital retinal imaging via telemedicine as an important screeni

275 Grayscale Fractal Dimension (FD) analysis of retinal images was performed on people with type 2 diabe

276 Retinal imaging was obtained at the end of 1 year of gly

277 Multimodal retinal imaging was performed in 11 eyes with acute reti

278 Retinal imaging was performed in 16 brown norway rats (N

279 Retinal imaging was performed in the ophthalmic clinic i

280 cted to a structured interview, and detailed retinal imaging was performed: fundus autofluorescence i

281 r loss, based on analysis of adaptive optics retinal images, was valuable to monitor disease progress

282 To explore how the thalamus transforms the retinal image, we built a model of the retinothalamic ci

283 Simultaneous reflectance and fluorescence retinal images were acquired using the fAOSLO.

284 All retinal images were graded using a standardized validate

285 Thirty-four wide-angle retinal images were independently interpreted by 22 ROP

286 Retinal images were manually graded following a standard

287 Retinal images were obtained from two brothers (13 and 1

288 High-resolution retinal images were obtained using a flood-illumination

289 Additional retinal images were obtained using spectral domain optic

290 diabetic retinopathy screening program, 1039 retinal images were obtained.

291 reading center image collections, 30 digital retinal images were selected for optimum quality.

292 follow-up visits for up to 8 years after the retinal images were taken.

293 ctions are involved in the representation of retinal images, whereas feedback pathways may play a rol

294 retrospective development data set of 128175 retinal images, which were graded 3 to 7 times for diabe

295 ophthalmoscopy (BIO) and obtained wide-angle retinal images, which were independently classified by 2

296 y 20% may have ocular findings identified on retinal imaging, which emphasizes the role of retinal im

297 ealthy patients (43 women, 47 men) underwent retinal imaging with spectral-domain OCT.

298 cenes by equalizing the spatial power of the retinal image within the frequency range of ganglion cel