The original wood images used for evaluating the method were acquired from the X-ray wood nondestructive detection imaging system.
For this purpose, the SPArse Reconstruction Challenge (SPARC) was held along with the workshop on Computational Diffusion MRI (at MICCAI 2014) to validate the performance of multiple reconstruction methods using data acquired from a physical phantom.
In the proposed fault diagnosis method, vibration signals, acquired from a running induction motor, are first converted to gray-scale images from which discriminating texture features are determined and fault classification is performed.
We validate our method on diffusion data acquired from seven different sites (two GE, three Philips, and two Siemens scanners) on a group of age-matched healthy subjects.
We have applied the proposed method to the data acquired from the southwestern part of the Thrace basin located in NW, Turkey.
Evaporative heat loss was omitted because the laboratory was not equipped to measure the saturated water vapor pressure at skin temperature or the water vapor pressure of ambient air, and evaporative heat loss data of the type needed for use in the segmented method could not be acquired from the literature.
To reiterate, we did not estimate evaporative heat loss because the laboratory was not equipped to measure the saturated water vapor pressure at skin temperature or the water vapor pressure of ambient air, and evaporative heat loss data of the type needed for use in the segmented method could not be acquired from the literature.
We evaluated our proposed MEEG fusion method on clinical data acquired from two patients with intractable focal epilepsy.
Finally, we apply our inverse method to phase data acquired from light that was reflected from stress fibers and focal adhesions on the ventral plasma membrane, which lies in apposition to the coverslip-buffer interface.
Although SOCT images acquired from STFT method and TW method are slightly different, they both clearly show spectroscopic properties of the blood.
