WebMar 15, 2024 · Response surface methodology (RSM) and central composite design (CCD) were used to improve the preparation of carbon nanotube and graphene (CNT-GN)-sensing unit composite materials in this study. Four independent variable factors (CNT content, GN content, mixing time, and curing temperature) were controlled at five levels, and 30 … WebRadial acquisition with MOCCO reconstruction has been previously proposed for high spatial and temporal resolution breast DCE imaging. In this work, we characterize MOCCO …
Compressed Sensing Based Interior Tomography
WebMay 1, 2009 · Based on compressed sensing theory, here we prove that if an object under reconstruction is essentially piecewise constant, a local ROI can be exactly and stably … WebThe CT (Computerized Tomography) scan enables estimation of the interior of a scanned object but involves exposure to high amounts of radiation. In some cases it is desirable to reconstruct only a local region … jhonathan cavasinni
Deep learning for tomographic image reconstruction Nature Machine
WebComputed tomography (CT) uses precisely collimated X-rays, gamma rays, ultrasonic waves, or other types of beams in concert with highly sensitive detectors to sequentially scan individual sections of the human body. CT has a fast scan time and results in clear images. Thus, CT is used in examinations for a variety of diseases. WebNov 1, 2011 · Compressive sensing (CS)-based interior tomography is a state-of-the-art method for accurate image reconstruction from only locally truncated projections. Here, … jhonatan the wall