In medical image synthesis, model training could be challenging due to the inconsistencies between images of different modalities even with same patient, typically caused by internal status/tissue changes as are usually obtained at a time. This paper proposes novel deep learning method, Structure-aware Generative Adversarial Network (SA-GAN), that preserves shapes and locations in-consistent st...

The binding of human calcitonin (CT) was investigated in the plasma membrane fraction obtained from normal rat liver. The liver plasma membrane bound 125I-labeled [( 125I]) human CT, with increasing concentrations of the plasma membrane protein from 4.6-80 micrograms/ml, in a both time and temperature dependent manner. Specific binding of [125I] human CT was competitively inhibited by concentra...

Fresh Lotus corniculatus containing 27 g extractable condensed tannin (CT)/kg dry matter (DM) and 8 g bound CT/kg DM was fed at hourly intervals to sheep held in metabolism cages to study the effects of CT on nutrient digestion and on metabolism of methionine, cystine and inorganic sulphate in plasma. Polyethylene glycol (PEG) was continuously infused into the rumen of half the sheep to remove ...

As recently proposed in our previous work, the two-dimensional CT fluoroscopy image series can be used to track the three-dimensional motion of a pulmonary lesion. The assumption is that the lung tissue is locally rigid, so that the realtime CT fluoroscopy image can be combined with a preoperative CT volume to infer the position of the lesion when the lesion is not in the CT fluoroscopy imaging...

This paper strives to generate a synthetic computed tomography (CT) image from magnetic resonance (MR) image. The CT is valuable for radiotherapy planning when only an MR available. Recent approaches have made large strides in solving this challenging synthesis problem with convolutional neural networks that learn mapping inputs outputs. In paper, we find all existing share common limitation: r...