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Patent
CAS Shenzhen Institutes of Advanced Technology | Date: 2012-08-29

The present disclosure proposes an image-based method for measuring elasticity of biological tissues including following steps: obtaining N successive grayscale images of a testing biological tissue, where N is a positive integer; obtaining regions of interest (ROI) of the grayscale images; dividing the regions of interest into a grid of small sections; calculating relative displacement vector of each interrogation window using texture matching method; and calculating elastic modulus of each interrogation window according to the relative displacement vectors. The present disclosure also proposes an image-based system for measuring elasticity of biological tissues. The present disclosure applies to various resolutions of grayscale images obtaining in ultrasound imaging, optical imaging, photoacoustic imaging, CT imaging, magnetic resonance imaging ect. The system can be integrated into a traditional clinical imaging system as an image post-processing software module to characterize tissue elasticity. Because its no need to update the traditional clinical imaging system hardware, updating cost is low. Its easy to be accepted by hospital and is convenient to popularize.


Patent
CAS Shenzhen Institutes of Advanced Technology | Date: 2013-03-29

A fast magnetic resonance imaging method and system, the method comprising: applying a periodic radio-frequency pulse train to drive the magnetization vector of an imaging volume into a steady state (


The present invention disclose a method and apparatus for determining characteristics of cerebral ischemia based on magnetic resonance diffusion weighted imaging, so as to provide a more objective basis for determining whether an acute cerebral ischemia patient should be treated with thrombolysis. The method comprises: determining a cerebral ischemia region of a patient based on a magnetic resonance diffusion weighted imaging of the patient, wherein the cerebral ischemia region comprises a core region and a transition region; determining a DWI gray scale distribution parameter in a region with low ADC values in the magnetic resonance diffusion weighted imaging according to the apparent diffusion coefficient ADC values of the core region and transition region; and judging whether the DWI in the region with low ADC values in the magnetic resonance diffusion weighted imaging and the ADC values in the region with low ADC values in the magnetic resonance diffusion weighted imaging are mismatched according to the DWI gray scale distribution parameter in the region with low ADC values in the magnetic resonance diffusion weighted imaging. The method according to embodiments of the present invention provides a more scientific and objective basis for making a decision on whether the acute cerebral ischemia patient should be treated with thrombolysis, thereby improving a cure rate of the cerebral ischemia patient.


Patent
CAS Shenzhen Institutes of Advanced Technology | Date: 2011-07-29

A slip rate detection method and a detection system for detecting the slip rate of an electric vehicle using the method. The slip rate of an electric vehicle is measured by measuring the motor voltage, motor current, and motor rotational speed of the drive motor. The detection system includes a motor rotational speed detection unit, a motor voltage detection unit, and a motor current detection unit, all connected to the drive motor. The motor rotational speed detection unit, the motor voltage detection unit, and the motor current detection unit are connected to a slip rate calculation unit by means of a motor rotational speed signal processing unit, a voltage signal processing unit, and a current signal processing unit, respectively. The slip rate calculation unit is configured with a slip rate calculation formula. The formula is determined according to the drive motor type.


Patent
CAS Shenzhen Institutes of Advanced Technology | Date: 2013-11-26

Disclosed is a method for automatically optimizing point cloud data quality, including the following steps of: acquiring initial point cloud data for a target to be reconstructed, to obtain an initial discrete point cloud; performing preliminary data cleaning on the obtained initial discrete point cloud to obtain a Locally Optimal Projection operator (LOP) sampling model; obtaining a Possion reconstruction point cloud model by using a Possion surface reconstruction method on the obtained initial discrete point cloud; performing iterative closest point algorithm registration on the obtained Possion reconstruction point cloud model and the obtained initial discrete point cloud; and for each point on a currently registered model, calculating a weight of a surrounding point within a certain radius distance region of a position corresponding to the point for the point on the obtained LOP sampling model, and comparing the weight with a threshold, to determine whether a region where the point is located requires repeated scanning. Further disclosed is a system for automatically optimizing point cloud data quality.

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