Wide-field quantitative imaging of intrinsic scatter bio-markers using sub-diffusive structured light

Author(s):  
David M. McClatchy ◽  
Elizabeth J. Rizzo ◽  
Wendy A. Wells ◽  
Jeeseong C. Hwang ◽  
Keith D. Paulsen ◽  
...  
2017 ◽  
Vol 22 (7) ◽  
pp. 076007 ◽  
Author(s):  
Mira Sibai ◽  
Carl Fisher ◽  
Israel Veilleux ◽  
Jonathan T. Elliott ◽  
Frederic Leblond ◽  
...  

2014 ◽  
Vol 5 (10) ◽  
pp. 3376 ◽  
Author(s):  
Stephen Chad Kanick ◽  
David M. McClatchy ◽  
Venkataramanan Krishnaswamy ◽  
Jonathan T. Elliott ◽  
Keith D. Paulsen ◽  
...  

Author(s):  
David M. McClatchy ◽  
Venkataramanan Krishnaswamy ◽  
Jonathan T. Elliott ◽  
Stephen Chad Kanick ◽  
Keith D. Paulsen ◽  
...  

Author(s):  
Yang Qi ◽  
◽  
Yuan Li

Efficient and precise three-dimensional (3D) measurement is an important issue in the field of machine vision. In this paper, a measurement method for indoor key points is proposed with structured lights and omnidirectional vision system and the system can achieve the wide field of view and accurate results. In this paper, the process of obtaining indoor key points is as follows: Firstly, through the analysis of the system imaging model, an omnidirectional vision system based on structured light is constructed. Secondly, the full convolution neural network is used to estimate the scene for the dataset. Then, according to the geometric relationship between the scenery point and its reference point in structured light, for obtaining the 3D coordinates of the unstructured light point is presented. Finally, combining the full convolution network model and the structured light 3D vision model, the 3D mathematical representation of the key points of the indoor scene frame is completed. The experimental results proved that the proposed method can accurately reconstruct indoor scenes, and the measurement error is about 2%.


Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Jean-Claude Baron ◽  
Clement Brunner ◽  
Clothilde Isabel ◽  
Abraham Martin ◽  
Clara Dussaux ◽  
...  

Introduction: Following MCAo, tissue outcome varies depending on depth and duration of hypoperfusion and efficiency of reperfusion. However, the precise time-course of these events in relation to tissue and behavioral outcome remains unsettled due to lack of a wide field-of-view quantitative imaging technique able to map perfusion in the rodent brain at high spatiotemporal resolution. Here we used fUS, a novel approach to map cerebral blood volume (CBV) without contrast agent. Hypothesis: fUS will allow quantitative, near real-time mapping of CVB during and after tMCAo. Methods: 45min filament tMCAo was induced in adult SD rats; sham rats were also used. fUS was used to map the penetrating arterioles and venules of the ipsi- and contra-lateral motor (M1-2) and somatosensory (S1) cortex in coronal sections across the MCA territory at 80μm resolution. Three-min coronal scans were taken at different levels before, during and immediately after MCAo, and at 3 and 6 days thanks to a thinned-skull preparation. CBV was expressed relative to mirror ROI. In addition, a 1-hr movie (one frame/5s) was taken starting a few mins after reperfusion. Serial Neuroscore and 2 sensorimotor tasks were given over 3w post-MCAo, and then NeuN, IBa1 and GFAP immunofluorescence (IF) at post-mortem. Results: fUS showed a ∼80% CBV reduction in S1 during occlusion (p<0.001; n=7), with partial (∼60%, p<0.001) return of CBV on reperfusion, followed by a full return at days 3 and 6. As expected for this model, similar but less conspicuous CBV changes prevailed in M1-2. Continuous reperfusion was depicted in 5/7 rats (slope range: 8-25%/hr relative to prior CBV), but not in 2 rats. There were no significant changes in behavior relative to the sham group (n=4), and IF showed no infarction but marked selective neuronal loss (SNL) in the striatum in 5/7 rats and milder cortical SNL in 4/7 rats. Conclusions: fUS efficiently mapped the acute changes in CBV during occlusion and following reperfusion with high spatio-temporal resolution, allowing the charting of fine tissue reperfusion dynamics in the individual rat. fUS is ideal to longitudinally map real-time cerebral perfusion in experimental stroke from the hyper-acute through to the chronic stage.


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