Search Results - medical imaging

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  1. Magnetic resonance elastography (MRE) is a useful tool for characterizing and mapping the nonlinear viscoelastic properties of the human brain. It has shown that the stiffness of brain regions change with age and disease states. As such MRE has great utility in clinical diagnostics since many disease states are associated with changes in cellular e...
    Published: 3/16/2018
    Inventor(s): William (Jamie) Tyler
    Keywords(s):  
  2. Deep convolutional neural networks (CNN) are useful in a variety of applications ranging from computer vision to signal processing. There is increasing interest in applying CNN to biomedical image analysis, but success is impeded by the lack of large annotated datasets in biomedical imaging. Expert annotation is tedious, time consuming and expensiv...
    Published: 2/5/2018
    Keywords(s):  
  3. Pervasive Brain-Mobile Interfacing (BMoI) is a new trend that has significantly increased within this decade through the creation of wearable dry contact electroencephalogram (EEG) sensors. Unfortunately, current commercially wearable brain sensors have low accuracy, power limitations and computational restraint based from mobile devices. These lim...
    Published: 11/22/2017
  4. In standard medical practice, the patient and their medical image data are decoupled after imaging. Image visualization is primarily confined to screens that are not registered with respect to the patient's body. This is cumbersome and requires more time for healthcare providers to orient the images relevant to the patient. It would be ideal to hav...
    Published: 11/17/2017
  5. Radiography is currently the most common medical imaging procedure performed in the world, and the demand for radiography is expected to increase in the coming years. Particularly in less developed countries where there is a demand for a much more ruggedized technology, the market may skip conventional x-ray film technology in lieu of digital radio...
    Published: 3/2/2017
    Keywords(s):  
  6. Carotid Intima-Media Thickness (CIMT) measurement is a non-invasive, sensitive, and highly reproducible technique for cardiovascular risk stratification. Interpreting a CIMT video involves three operations: (1) select three end-diastolic ultrasound frames (EUFs) in each video; (2) localize a region of interest (ROI) approximately 1 cm distal from t...
    Published: 12/26/2016
    Keywords(s):  
  7. High speed mid-infrared (MIR) photodetectors are crucial in numerous applications, ranging from hyper-spectral imaging and biomedical sensing to environmental monitoring and astronomy. However, fundamental limitations in current technologies restrict the scope of use for these photodetectors. Current technologies suffer from weaknesses such as redu...
    Published: 12/24/2016
    Inventor(s): Yu Yao
  8. Vital signs are critical for the diagnosis and management of various diseases. With the advent, availability and portability of electronic devices such as cell phones, new opportunities for monitoring vital signs are becoming increasingly realized. Unfortunately, most current systems which monitor vital signs suffer from low frequency noise and unw...
    Published: 12/13/2016
    Keywords(s): Health Monitoring
  9. Vital signs are critical for the diagnosis and management of various diseases. With the advent, availability and portability of electronic devices such as cell phones, new opportunities for monitoring vital signs are becoming increasingly realized. Unfortunately, most current systems which monitor vital signs suffer from low frequency noise and unw...
    Published: 12/13/2016
    Keywords(s):  
  10. The quality of IMPT treatment plans may be drastically diminished by uncertainties such as proton range and patient setup errors. If these uncertainties are not figured into treatment planning, the dose distribution that the patient receives may not be the same as the planned dose distribution. New treatment plans, which include optimized software/...
    Published: 9/21/2016
    Inventor(s): Jianming Liang, Yu An, Wei Liu
    Keywords(s):  

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