120 results about "Inversion Time" patented technology

A magnetic resonance imaging apparatus includes an imaging unit which applies a labeling pulse to invert a spin included in a labeling region within part of a imaging region and then collects a echo signal from a time point when an inversion time has passed from the application of the labeling pulse, and a control unit, the control unit controlling the imaging unit so that the echo signal in the imaging region is collected a plurality of times with variations in the inversion time, the control unit also controlling the imaging unit so that a time ranging from a reference time point within a biological signal obtained from a subject to the application of the labeling pulse is a time determined in accordance with the inversion time.

To optimize in advance an amount of a desired parameter incorporated in a pulse sequence performed by an imaging scan, a preparation scan is adopted. The preparation scan is performed with the amount of the desired parameter changed every preparatory image, so that data of a plurality of preparatory images at a desired region of the object can be acquired. For example, such parameter is a TI (inversion time) and its amount is a period of TI. The acquired data are produced into a plurality of preparatory images for display. A desired preparatory image is then selected from the plural preparatory images displayed, and the amount of the desired parameter given from the selected preparatory image is set to the pulse sequence. Hence the desired parameter of the pulse sequence is able to have an optimum amount before actual imaging.

In a method for acquisition of magnetic resonance images of the heart, MR signals of the heart are acquired using an imaging sequence, wherein the magnetization is inverted by an RF inversion pulse before the acquisition of the MR signals; and of the heart activity is detected, and the point in time of the switching of the RF inversion pulse dependent on the detected heart activity.

The invention discloses a configuration method and equipment of an almost blank subframe. The method comprises: determining the initial subframe and/or effective time of the almost blank subframe by a base station; configuring the initial subframe and/or effective time of the almost blank subframe to user equipment. The invention solves the problem that the almost blank subframe period can not correspond because a system frame number inversion time point and the start point of the almost blank subframe period can not correspondingly generate a system frame number reserve tail.

A magnetic resonance imaging system includes a magnetic resonance imaging scanner (10) that performs an inversion recovery magnetic resonance excitation sequence (70) having a blood-nulling inversion time (60) determined based on a blood T1 value appropriate for a selected magnetic field and blood hematocrit, whereby magnetic resonance of blood is substantially nulled. The inversion recovery excitation sequence (70) includes an inversion radio frequency pulse (74) applied with a small or zero slice-selective magnetic field gradient pulse to avoid inflow effects, and an excitation radio frequency pulse (80). The inversion pulse (74) and excitation pulse (80) are separated by the inversion time (60). The magnetic resonance imaging scanner (10) subsequently performs a readout magnetic resonance sequence (72) or spectroscopy sequence to acquire a magnetic resonance signal from tissue other than the nulled blood. A reconstruction processor (44) generates a reconstructed image from the acquired magnetic resonance signal.

Exemplary method and apparatus can be provided for generating information regarding at least one tissue. Using such exemplary method and apparatus, it is possible to generate a plurality of inversion recovery (IR) radio frequency (RF) pulses that are configured to establish an identifier of an element associated with at least one portion of the tissue(s). It is also possible to determine an inversion time associated with at least one of the RF pulses. Further, it is possible to generate, e.g., with a computing arrangement, the information regarding the tissue(s) based on the inversion time.

Apparatus and methods for determining the timing of the data bit transitions. “N” assumptions of data bit transitions are used for determining N integrations of an incoming spread signal for data bit time periods where N is the data bit time period divided by the code time period. In a first variation, the N assumptions use N start times separated by code time periods. In a second variation, the N assumptions use N sign inversion times separated by code time periods. In either variation the unsigned values of the N integrations, respectively, may be combined for several data bit time periods. The assumed transition timing that results in the strongest of the N integrations is indicative of the timing of the data bit transitions.

A liquid crystal display includes a liquid crystal display panel having a plurality of data lines, a plurality of gate lines, and a plurality of liquid crystal cells, a timing controller to determine gray levels of input digital video data and a time at which a polarity of a data voltage to be supplied to the data lines is inverted and generate a dynamic charge share control signal to indicate a time at which the gray level of the data voltage is changed from a white gray level to a black gray level and a time at which the polarity of the data voltage is inverted, and to detect weakness patterns in which the data of the white gray level and the black gray level are regularly arranged in the input digital video data and generate a dot inversion control signal for widening a horizontal polarity inversion time of data voltages to be supplied to the data lines when the weakness patterns are input, a data driving circuit to convert the digital video data from the timing controller into the data voltage, change the polarity of the data voltage, supply any one of a common voltage and a charge share voltage between a positive data voltage and a negative data voltage to the data lines in response to the dynamic charge share control signal, and widen the horizontal polarity inversion time of the data voltages in response to the dot inversion control signal, and a gate driving circuit to sequentially supply a scan pulse to the gate lines under the control of the timing controller, wherein the liquid crystal display panel includes first and second liquid crystal cell groups whose polarity is inverted every 2 frame periods, and a polarity inversion time of the first liquid crystal cell group and a polarity inversion time of the second liquid crystal cell group overlap.

A multi-slice double inversion recovery (DIR) pulse sequence with read out of a signal for imaging successive slices implemented on a magnetic resonance image scanner. In the method, when the DIR pulse sequence is applied before imaging each slice, a slab-selective inversion re-inverts the entire slab that includes all of the slices. All slices are imaged within a predefined repetition time (TR). The number, N, of slices acquired per TR controls the inversion time to execute the read out of the signal for imaging each slice at a zero-crossing point of blood. In a test, multi-slice DIR images of carotid arteries were obtained with N ranging from 2-8, for four subjects. The results were compared with those for both standard single-slice DIR, and inflow saturation techniques. Multi-slice DIR with N=2-6 provided blood flow suppression in carotid arteries similar to that of single-slice DIR, and significantly better than inflow saturation.

A magnetic resonance imaging apparatus includes a fluid image data acquisition unit and a flow velocity measuring unit. The a fluid image data acquisition unit acquires fluid image data, corresponding to mutually different inversion times, by imaging with applying at least three inversion recovery pulses having the inversion times. The flow velocity measuring unit obtains a flow velocity of fluid based on time variation of a signal intensity depending on the inversion times at each of plural positions and a distance between the plural positions.

The invention provides an inversion method of a pipeline defect depth based on a convolution neural network. The method comprises the following steps: 1, randomly generating a pipeline defect profile: generating an n group pipeline defect depth matrix, and obtaining the axial magnetic flux leakage signal of the n group pipeline defect profile based on magnetic dipole model simulation; 2, obtaining a practically measured k group pipeline defect depth matrix, and measuring the corresponding axial magnetic flux leakage signal by using a magnetic field sensor; 3, constructing a convolution neural network model, and training the convolution neural network model by using the axial magnetic flux leakage signal of the simulated pipeline defect profile and the measured axial magnetic flux leakage signal of the practically measured pipeline defect profile to obtain a final convolution neural network model; and 4, preprocessing the axial magnetic flux leakage signal of a pipeline defect with an unknown depth, and inputting the final convolution neural network model in order to obtain the depth predication value of the pipeline defect with the unknown depth. The method effectively reduces the parameters needed by network training, and shortens the defect inversion time.

The invention discloses an analysis reentry guidance method considering the restraint of multiple no-fly zones. To overcome the influences from earth rotation, conventional aerodynamic force and inertia force caused by earth rotation are combined into equivalent aerodynamic force. Then, the longitudinal range analytical solution is utilized for planning the equivalent longitudinal lift-drag ratioprofile, and accordingly, the longitudinal range and energy management requirements are met; the transverse range analytical solution is utilized for planning the equivalent transverse lift-drag ratioprofile meeting the no-fly zone restraint and transverse range requirements. An inverted point gradual increasing type analysis iteration planning strategy is designed and comprises a plurality of analysis methods which are used for solving the flight track point, closest to the no-fly zones, on the track, adjusting existing inverted points for avoiding the no-fly zones, increasing the inverted points to avoid the no-fly zones and planning the inverted points to eliminate the terminal course error. Iteration starts from two times of inversion, and then the number of inversion times is gradually increased according to the no-fly zone avoiding requirement. In addition, since the planning strategy is completely based on the analytical solutions, the planning strategy is extremely high in planning efficiency and can be executed online.

In the black blood method using a double inversion pulse, images in the systole of the cardiac cycle can be captured in a reliable manner even in the presence of a cycle-to-cycle variance in the heart beat cycle. A pulse sequence of the black blood method composed of a double inversion pulse DIV and an imaging pulse train SEQ_ima is used. This sequence is applied in sync with an ECG signal of a subject to be imaged, and magnetic resonance imaging is thereby performed. The double inversion DIV is applied in sync with an R-wave:R1 appearing on the ECG signal at a given timing, with a first delay time td1 (fixed value), and the imaging pulse train SEQ_ima is applied in sync with the following R-wave:R2 with a second delay time td2 (fixed value: set in accordance with the systole). A variance of the cardiac cycle is absorbed in an inversion time BBTI.

The invention discloses a GNSS-R sea surface wind speed inversion method and system based on a BP neural network, and the method comprises the steps: inputting a to-be-measured DDM image into a pre-trained sea surface wind speed inversion model, and outputting a corresponding inversion wind speed; wherein the sea surface wind speed inversion model is a BP neural network. According to the method, the GNSS-R sea surface wind speed is inverted by utilizing the BP neural network, the model is simple, the modeling time and the inversion time are shortened, and the inversion precision is further improved; the BP neural network makes full use of the physical quantity related to the wind speed in the DDM graph to perform feature learning, reduces the calculated amount and shortens the time consumption under the condition of ensuring the inversion precision, and has the characteristics of simple and rapid model, high result precision and the like.

The invention discloses a method for separate imaging of water and fat based on inversion recovery technology, which includes the following steps of: determining a first inversion recovery time when the longitudinal magnetization component of hydrogen atomic nucleus in fat or water is zero; respectively selecting a second inversion recovery time and a third inversion time before and after the first inversion recovery time; during the second and the third inversion recovery time, respectively using a scanning sequence to excite a detected object and obtaining two images simultaneously including a pure water image and a pure fat image; synthesizing the two obtained images; and when the synthesis removes the pure fat image included in the two images, obtaining a pure water image, when the synthesis removes the pure water image included in the two images, obtaining a pure fat image. By the use of the invention, the pure water image and the pure fat image can be obtained at one time by using the scanning sequence to excite the detected object and the signal-to-noise ratio of the images is relatively high.

In a method to determine an inversion time value for contrast improvement between different tissue in a contrast agent-supported magnetic resonance imaging, a series of magnetic resonance images of an imaging area is acquired using an inversion recovery sequence with different inversion times. A structure in the magnetic resonance images is segmented and a time response of the signal intensity of image elements corresponding to one another in the magnetic resonance images of the segmented structure is automatically determined. Minima of the signal intensity in the segmented structure are determined automatically and associated with the associated inversion time values. The optimal inversion time value for contrast improvement is automatically determined from the inversion time values that have been associated with the minima of the signal intensity in the segmented structure.

A semiconductor integrated circuit includes logic circuits connected in a plurality of stages, a voltage-level inverting unit that is inserted in a signal transmission path of the logic circuits and inverts a voltage level input to the logic circuits, and an inversion-timing control unit that controls inversion timing for the voltage level inverted by the voltage-level inverting unit.

A method and system for adaptive acquisition of magnetic resonance imaging (MRI) data by initially performing an analysis of a set of samples using a wide range of spin-lattice relaxation time (T1) times, and spin-spin relaxation time (T2) times of the sample under magnetic resonance imaging, and ranking the level of impact each of those T1s and T2s has on inversion times (TIs) and echo times (TEs) respectively. The method and system create a look-up table based on the data generated, and then perform another measurement using a smaller number of T1s and T2s using a small number of TIs and TEs, and compare the results to the data in the look-up table in order to select the closest point in the look-up table.

In an adjustment method of waveform equalization coefficient, one of jitter and amplitude is measured only in a case of an arbitrary signal sequence and a waveform equalization coefficient is adjusted. Particularly, using a signal of received signals other than a 010 signal or a 101 signal, code inversion time is measured. Since the code inversion time in a case where such signals are used becomes steeper in comparison with that in the conventional technique, adjustment time of the waveform equalization coefficient can be reduced.

A computer-implemented method for determining magnetic field inversion time of a tissue species includes generating a T1-mapping image of a tissue of interest, the T1-mapping image comprising a plurality of T1 values within an expected range of T1 values for the tissue of interest. An image mask is created based on predetermined identification information about the tissue of interest. Next, an updated image mask is created based on a largest connected region in the image mask. The updated image mask is applied to the T1-mapping image to yield a masked image. Then, a mean relaxation time value is determined for the largest connected region. The mean relaxation time value is then used to determine a time point for nulling longitudinal magnetization.

There is provided a magnetic resonance imaging apparatus comprising: an inversion pulse generating unit that applies an inversion pulse to a living body to suppress a white matter image signal; an excitation pulse generating unit that applies an RF excitation pulse to the living body after inversion time from the inversion pulse so as to excite magnetization; an image signal receiving unit that acquires first and second final image signals from first and second echo trains in an RF refocusing pulse train, respectively; and an image generating unit that generates a gray matter image from the first and second final image signals.