Simultaneous imaging of multiple targets (SIMT) in opaque biological tissues is an important goal for molecular imaging in the future. Multi-color fluorescence imaging in deep tissues is a promising technology to reach this goal. In this work, we developed a dual-modality imaging system by combining our recently developed ultrasound-switchable fluorescence (USF) imaging technology with the conv...

Cardiac magnetic resonance imaging (cMRI) is a well-established noninvasive imaging modality in clinical cardiology. Its ability to provide tissue characterization make it well suited for the study of patients with cardiac diseases. We describe a multi-modality imaging evaluation of a 45-year-old man who experienced a near drowning event during swimming. We underline the unique capability of ti...

Magnetic Resonance Imaging (MRI) is a widely used imaging technique to assess brain tumor. Accurately segmenting tumor from MR images the key clinical diagnostics and treatment planning. In addition, multi-modal can provide complementary information for accurate segmentation. However, it's common miss some modalities in practice. this paper, we present novel segmentation algorithm with missing ...

background the present data show a global increase in the rate of cardiovascular disease. cardiac ct angiography has developed as a fast and non-invasive cardiac imaging modality following the introduction of multi-slice computed tomogaraphy. conclusions the total mean radiation dose to the thyroid and gonads was 0.36 msv, and 96.5 μsv, respectively for the subjects. these values were high for ...

The combination of multi-modal image fusion schemes with deep learning classification methods, and particularly Convolutional Neural Networks (CNNs) has achieved remarkable performances in the pedestrian detection field. late scheme significantly enhanced performance recognition task. In this paper, connected CNN is deeply investigated for based on Daimler stereo vision dataset. Thus, an indepe...