Time-of-flight (ToF) imaging has become a widespread technique for depth estimation, allowing affordable off-the-shelf cameras to provide depth maps in real time. However, multipath interference (MPI) resulting from indirect illumination significantly degrades the captured depth. Most previous works ...
Through time-of-flight (TOF) integration, \({\int} {{{G}}_1^{{\mathrm{iNIRS}}}\)(τs,τd)dτs can provide medium autocorrelations, like diffuse correlation spectroscopy (DCS) (right). Full size image Results In vivo bulk motion correction Non-contact assessment of optical field fluct...
time‐of‐flightPurpose To develop and evaluate a method of parallel imaging time‐of‐flight (TOF) MRA using deep multistream convolutional neural networks (CNNs). Methods A deep parallel imaging network ("DPI‐net") was developed to reconstruct 3D multichannel MRA from undersampled data. It ...
Real-time detection of tissue oxygenation in the nervous system is crucial in neuroscience studies and clinical diagnostics. Complementary to blood oxygenation levels, the partial pressure of oxygen in brain tissue (\(p_{{\mathrm{bt}}{{\mathrm{O}}_2}}\)) plays a key role in regulating loca...
The advantage of the stellarmate pro X is that it has power ports and plenty of USB ports, so you can end up using only 1 power cable leading up to the SMate pro and that's it. It has the power ports for the camera, filter wheel, focuser, dew heaters, and also the usb ports fo...
OBJECTIVE: This study was designed to determine whether discontinuous CT of the lower extremities for the detection of deep venous thrombosis (DVT) yields results similar to those of complete helical imaging using cases from the Prospective Investigation of Pulmonary Embolism Diagnosis II (PIOPED ...
to since I bought my first FTb a long, long time ago. It's fitting that he used the XSi as his example in the article, as I have that body. From what I've read and inferred, I suspect that my SL2's (200D) sensor will have the same behavior. I'm not as sure of the R6 ...
Compared with technologies such as LIDAR, Struc- tured Light and Time-of-Flight, stereo is competitive in practical application scenarios due to its lower cost, higher resolution and better universality for al- most any environment. Many traditional stereo algorithms have been proposed in recent ...
This happened to me last year, only difference is that my imaging run had finished and everything was shut off. I put all of my equipment in a closed room with a dehumidifier running constantly for a few days and by the end everything had dried and it all still works. ...
To the best of our knowledge, this is the first deep learning model to end-to-end predict the pathological grading of PDAC in a fully automatic manner, which is expected to improve clinical decision-making. Background Pancreatic cancer is a common malignancy and is the fourth most deadly canc...