CN112684393A - Method for enhancing dynamic range of magnetic resonance spectrometer - Google Patents
Method for enhancing dynamic range of magnetic resonance spectrometer Download PDFInfo
- Publication number
- CN112684393A CN112684393A CN202011577697.0A CN202011577697A CN112684393A CN 112684393 A CN112684393 A CN 112684393A CN 202011577697 A CN202011577697 A CN 202011577697A CN 112684393 A CN112684393 A CN 112684393A
- Authority
- CN
- China
- Prior art keywords
- gain
- phase
- under
- dynamic range
- adc
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Magnetic Resonance Imaging Apparatus (AREA)
Abstract
The invention discloses a method for enhancing the dynamic range of a magnetic resonance spectrometer, which is applied to the technical field of electronic information and aims at solving the problem of acquiring signals of a nuclear magnetic resonance spectrometer with a high dynamic range in the prior art; the amplitude distribution condition of the echo signals of K space under different gain settings is obtained through pre-scanning, after formal scanning is started, the phase coding lines of the K space are divided into N parts, and each part is provided with a receiving gain, so that the dynamic range of an ADC (analog to digital converter) can be fully utilized when the echo signals corresponding to the phase coding lines of the corresponding part reach the ADC for analog to digital conversion; the method reduces the performance requirement on the ADC of the magnetic resonance spectrometer receiver, the optimal sampling bit of the ADC under the control of the fixed gain of the magnetic resonance receiver at least needs 19 bits to cover the full dynamic range of the MR signal, and the optimal sampling bit width of the ADC under the control of the variable gain of the receiver is more than 15 bits to cover the full dynamic range of the MR signal.
Description
Technical Field
The invention belongs to the technical field of electronic information, and particularly relates to a technology for enhancing the dynamic range of a magnetic resonance spectrometer.
Background
Obtaining signals acquired by a nuclear Magnetic Resonance (MRI) spectrometer with a high dynamic range is always a pursued target in the field of magnetic resonance. The Dynamic Range (DR) of the acquired signal is the power ratio of the maximum effective value to the minimum effective value. DR is typically expressed in decibels (db),smax is the maximum signal amplitude to be measured and epsilon is the minimum signal amplitude that can be identified from the noise floor. This ratio determines the number of bits required by an analog-to-digital converter (ADC) to convert an analog signal to a digital quantity, and it also dictates the channel DR requirements for transmitting this signal. The factor 2 in parentheses expresses the fact that the signal range can be positive or negative. The minimum number of bits J of the ADC required to meet the DR requirement of the input signal is given by: j is DR/6.02. Any global SNR-affecting parameter will similarly affect DR, so extending DR may improve the signal-to-noise ratio. In order to fully exploit the potential of an MRI spectrometer receiver, the ADC must capture the full signal in the analog-to-digital conversion stage, ranging from the central peak in k-space to the signal amplitude of the thermal noise floor of the system.
The following 3 methods are commonly used to improve the dynamic range of signals collected by the magnetic resonance spectrometer:
1) the effective DR of the ADC is enhanced at a sampling rate higher than the Nyquist rate, thereby reducing ADC quantization noise. Although the performance of the ADC is rapidly developed in recent years, it is still difficult to consider the two indexes of high bit width and high conversion rate at the same time, and when the bit width of the ADC is increased, the conversion rate is decreased, whereas when the conversion rate is increased, the bit width is decreased. Simulation results in papers C.H.OH, Y.C.RYU, J.H.HYUN, S.H.BAE, S.T.CHUNG, H.W.PARK, Y.G.KIM.dynamic Range extension of Receiver by Using Optimized Gain Adjustment for High-Field MRI, J.hubs in Magnetic Resonance resource Part A, Vol.36A (4) 243-254 (2010) show that the Receiver needs at least 19 bits of optimal sampling bits of ADC under the control of fixed Gain to meet the requirement of dynamic Range of Magnetic Resonance image. Direct radio frequency sampling technology is very commonly applied in modern magnetic resonance equipment, and the conversion rate of an ADC is usually more than 80 MHz. Therefore, it is difficult to satisfy the ADC specification at the same time, if the ADC specification is more than 19 bits wide, the conversion rate is more than 80MHz, and the cost is within the acceptable range of the commercial spectrometer.
2) The dynamic range is increased by nonlinear gradient pulses. The paper v.j.wedeen, y.s.chao, j.l.ackerman, Dynamic range compression in MRI by means of a nonlinear gradient pulse, j.magn.reson.med.6(1988) 287-295 mentions that the nonlinear gradient pulse converts the linear phase distribution of the scanned object into a nonlinear phase pulse, thereby compressing the maximum peak of the k-space data and increasing the Dynamic range of the signal. By changing the design of the gradient coils, the gradient in space is not linearly changing, resulting in a non-linear gradient field. However, it is difficult to design a nonlinear gradient coil capable of meeting the target requirement in engineering practice, and there is insensitivity to system error in linear gradient encoding, and at this time, the nonlinear compressed amplitude signal of the echo central signal may not be accurately recovered by using the nonlinear gradient pulse technique.
3) In view of some technical bottlenecks existing in the methods for acquiring DR signals by using the enhanced magnetic resonance spectrometer in the above 1) and 2), people transfer a research field of view to the scaling of signal amplitude values corresponding to the related local positions of magnetic resonance k space, wherein the signal rescaling is realized by different gain settings, so that an ADC can cover DR which is larger than the dynamic range of the ADC itself. The paper Katsumi Kose, K.Endoh, T.Inouye.Nonliner Amplitude Compression In Magnetic Resonance Imaging, Quantization Noise Reduction and Data Memory Saving, J.IEEE AES Magazine, June 1990 compresses the low frequency components of the K-space phase encoded lines and expands the high frequency components. Simulation shows that the non-linear amplification reduces the quantization noise by 10 to 20 times, and the reduced dynamic range is increased by about 4 bits. According to the papers j.bollenbeck, m.vehicle, r.oppelt, h.kroeckel, w.schnell.a high performance multi-channel RF Receiver for magnetic response Imaging Systems, j.proc.int.soc.mag.reson.med.med.13 (2005), a concrete implementation scheme of nonlinear compression is proposed by siemens 2005, a signal amplitude compressor/expander (compander) is designed before the MRI Receiver ADC, which obviates the need for internal automatic gain control of the Receiver, and when the ADC conversion rate is 10MS/s, the MRI DR can achieve 164dB/Hz, and the corresponding effective bit number (ENOB) is 16 bits. If there is no compander before the ADC, 18 bits of resolution are required to achieve a DR of 164 dB/Hz. Since the scheme provided by siemens corporation must perform dynamic compression of signal amplitude in analog circuits, such design is a very challenging task in engineering implementation, and besides the design index satisfying basic functions (DR and compression characteristics), the design index must also comprehensively consider the influences of factors such as non-linear compression signal recoverability, voltage offset, temperature stability and the like.
Disclosure of Invention
In order to solve the technical problem, the invention provides a method for enhancing the dynamic range of a magnetic resonance spectrometer, linear gradient pulses are used for encoding in the phase encoding direction and the frequency encoding direction, and a nonlinear compression analog circuit is not used for carrying out nonlinear amplification on signals acquired by different frequency encoding of one phase encoding line.
The technical scheme adopted by the invention is as follows: a method of enhancing the dynamic range of a magnetic resonance spectrometer, comprising:
s1, obtaining the amplitude distribution condition of the echo signals of the K space under different gain settings through pre-scanning;
s2, iteratively correcting the gain difference and the phase corresponding to different gains;
and S3, after the formal scanning is started, dividing the K space phase coding line into N parts, and setting a receiving gain for each part to obtain complete K space data.
The frequency coding step number and the phase coding step number of the scan are set to 1/4 of the main scan in step S1.
Step S1 specifically includes: n gain control parameters G1 and G2 … Gn are respectively set from large to small according to 6dB gain step; the phase coding comprises M steps, and a group of K space data is obtained through scanning under the control of each gain parameter; from the maximum gain G in turn1Starting to analyze the K space data scanned and collected under the control of the corresponding gain parameters,finding out all phase encoding lines with the echo amplitudes not overflowing; sequentially finding out all phase encoding lines with the echo amplitudes not overflowing from the remaining phase encoding steps by the subsequent gain control parameters;
note G1To GnThe remaining number of non-overflowed phase encoding steps under control of the gain parameter is M1、M2…MnWherein M is1+M2…+Mn=M。
Step S2 specifically includes: from maximum gain G1And starting to compare the gain and the phase of the corresponding line of the echo acquired by the phase coding step number corresponding to each of the two adjacent gain control parameters to obtain a statistical gain difference factor and an echo phase difference under the control of the two adjacent gain control parameters.
Step S3 includes: the frequency encoding step number and the total phase encoding step number of each phase encoding line in the K space are expanded to be 4 times of those in the prescan.
Step S3 further includes normalizing the phase encoded line data under different gain step controls, specifically: gain G1Phase encoding under control to 4M1The step data remains unchanged; and normalizing the data corresponding to the phase coding steps under the control of the subsequent gain control parameters according to all the statistical gain difference factors and the echo phase difference before the gain control parameters.
The normalized calculation process is as follows: giControlled phase encoding to 4MiMultiplication of complex signals at various points of the step data
The invention has the beneficial effects that: the invention collects the magnetic resonance echo signals based on the conventional ADC (16bit wide &80MHz sampling rate), and uses linear gradient pulse to code in the phase coding and frequency coding directions, and the invention does not use a nonlinear compression analog circuit to carry out nonlinear amplification on the signals collected by different frequency codes of one phase coding line. The amplitude distribution condition of the echo signals of K space under different gain settings is obtained through pre-scanning, after formal scanning is started, the phase coding lines of the K space are divided into N parts, and each part is provided with a receiving gain, so that the dynamic range of an ADC (analog to digital converter) can be fully utilized when the echo signals corresponding to the phase coding lines of the corresponding part reach the ADC for analog to digital conversion; the invention has the following advantages:
1. the performance requirement of the magnetic resonance spectrometer receiver ADC is reduced, the optimal sampling bit of the magnetic resonance spectrometer receiver ADC under the fixed gain control at least needs 19 bits to cover the full dynamic range of the MR signal, and the optimal sampling bit width of the magnetic resonance spectrometer ADC under the variable gain control of the receiver ADC is more than 15 bits to cover the full dynamic range of the MR signal;
2. the invention improves the dynamic range of the image by optimizing the scanning parameters of the sequence under the condition of not modifying the circuit of the magnetic resonance receiver;
3. the scanning time of the whole sequence is only increased by about 5%, the signal-to-noise ratio of a reconstructed image is improved by 10-20 dB (the bit width of an ADC is equivalent to the improvement of 4 bits);
4. the iterative signal gain and phase correction method avoids the influence of a noise substrate on echoes with smaller amplitude and reduces correction errors.
Drawings
FIG. 1 is a flow chart of a protocol of the present invention;
FIG. 2 is a schematic K-space diagram of a pre-scan (prescan) provided by an embodiment of the present invention;
fig. 3 is a schematic diagram of iterative correction of gain difference and phase under different gain steps according to an embodiment of the present invention;
fig. 3(a) is a schematic diagram of obtaining a gain difference under different gain steps through a histogram, and fig. 3(b) is a schematic diagram of obtaining a phase under different gain steps through another histogram;
FIG. 4 is a K-space schematic of a corrected pre-scan (prescan);
FIG. 5 is a schematic diagram of a K space for formal scanning according to an embodiment of the present invention;
FIG. 6 is a simulation result of the method of the present invention;
fig. 6(a) is a relationship between different ADC bit widths and an acquisition signal-to-noise ratio under a fixed gain, and fig. 6(b) is a relationship between different ADC bit widths and an acquisition signal-to-noise ratio under a dynamic adjustment gain.
Detailed Description
In order to facilitate the understanding of the technical contents of the present invention by those skilled in the art, the present invention will be further explained with reference to the accompanying drawings.
The invention collects the magnetic resonance echo signals based on the conventional ADC (16bit wide &80MHz sampling rate), and uses linear gradient pulse to code in the phase coding and frequency coding directions, and the invention does not use a nonlinear compression analog circuit to carry out nonlinear amplification on the signals collected by different frequency codes of one phase coding line.
The amplitude distribution condition of the echo signals of the K space under different gain settings is obtained through pre-scanning, after formal scanning is started, the phase coding line of the K space is divided into N parts, and each part is provided with one receiving gain, so that the dynamic range of an ADC (analog-to-digital converter) can be fully utilized when the echo signals corresponding to the phase coding line of the corresponding part reach the ADC for analog-to-digital conversion.
The implementation process of the invention is shown in fig. 1, and comprises the following three steps:
1. in the prescan, as shown in fig. 2, the abscissa represents the number of frequency steps, the ordinate represents the number of phase encoding steps, and the scan matrix size is 1/4 of the main scan, that is, the number of frequency encoding steps and the number of phase encoding steps are set to 1/4 of the main scan. N gain control parameters G are respectively set from large to small according to 6dB gain step1、G2…GnI.e. one scan each under the n receive gain control parameters; the advantage of this design can greatly reduce the time of pre-scanning, wherein the phase encoding has M steps, and a group of K space data is obtained by scanning under the control of each gain parameter. From the maximum gain G in turn1Starting, analyzing the K space data scanned and collected under the control of the gain parameter, finding out all the phase encoding lines without the overflow of the echo amplitude, and summing up M1Step phase coding; then analyze G2Controlled down scanningCollected K-space data from the remaining M-M1Finding out all the phase encode lines without overflow of echo amplitude from step phase encode, summing up M2Step phase coding; respectively obtaining G according to the above rule3To GnThe remaining number of non-overflowed phase encoding steps under control of the gain parameter is M3、M4…MnWherein M is1+M2…+Mn=M。
2. And performing iterative correction of gain difference and phase under different gain steps. The data format is set to 32-bit floating point. G1Under the control of M1Step phase encoding of acquired echo and G2Under control, these M are the same1And gain and phase comparison are carried out on the corresponding line of the echo acquired by the step phase coding. As shown in FIG. 3, G is obtained from the histogram1And G2The statistical gain difference factor under control is Δ G1(see FIG. 3 (a)), and G is also obtained from another histogram2Relative to G1The phase difference of the echo under control is phi1(as shown in FIG. 3 (b)), and sequentially obtaining G2And G3Is Δ G2,G3Relative to G2The phase difference of the echo under control is phi2… …, and Gn-1And GnIs Δ Gn-1,GnRelative to Gn-1The phase difference of the echo under control is phin-1。
FIG. 4 is a diagram illustrating a gain difference and a phase difference between adjacent receiving gains obtained according to FIG. 3, and a method for implementing gain and phase compensation of each portion of K space under different receiving gain controls for each portion of K space, that is, data obtained under different receiving gain controls for each portion of K space is normalized to the same receiving gain; on the right side of fig. 4 are gain difference and phase difference compensation values for compensating the data corresponding to the parenthesized area in fig. 4.
3. Starting formal scanning, as shown in FIG. 5, expanding the frequency encoding step number and the total phase encoding step number of each phase encoding line in K space from M of pre-scanning to 4M, and obtaining gain G1Phase encoding under control to 4M1Step (G)2Phase encoding under controlThe code is 4M2Step by analogy, GnThe controlled phase encoding step number is 4MnAnd (5) carrying out the steps. Scanning and collecting to obtain complete K space data, and respectively normalizing the phase coding data under different gain step controls. Gain G1Phase encoding under control to 4M1The step data remains unchanged; g2Controlled phase encoding to 4M2Multiplication of complex signals at various points of the step dataPhase encoding to 4M under control of G33Multiplication of complex signals at various points of the step dataBy analogy, GnControlled phase encoding to 4MnMultiplication of complex signals at various points of the step dataG in FIG. 51,…,GnIs the receive gain parameter for the corresponding K-space region.
In this embodiment, the abscissa direction of the K space is frequency encoding, the ordinate direction is phase encoding, and each row is one step of phase encoding.
As shown in fig. 6, the simulation result expresses the comparison relationship between the ADC bit width and the signal-to-noise ratio of the acquired signal under the fixed gain and the dynamic adjustment gain, fig. 6(a) is the relationship between the ADC bit width and the signal-to-noise ratio under the fixed gain, and fig. 6(b) is the relationship between the ADC bit width and the signal-to-noise ratio under the dynamic adjustment gain, where GC is the abbreviation of dynamic gain (gain control). It can be known from the simulation of fig. 6 that the dynamic range of the acquired signal, which is equivalent to the dynamic range of the acquired signal in which the gain is fixed and the bit width of the ADC is 19 bits, can be realized by the ADC with the bit width of 15 bits through the dynamic gain adjustment of the spectrometer during the scanning process, and the method does not need to modify any hardware of the spectrometer.
It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (7)
1. A method of enhancing the dynamic range of a magnetic resonance spectrometer, comprising:
s1, obtaining the amplitude distribution condition of the echo signals of the K space under different gain settings through pre-scanning;
s2, iteratively correcting the gain difference and the phase corresponding to different gains;
and S3, after the formal scanning is started, dividing the K space phase coding line into N parts, and setting a receiving gain for each part to obtain complete K space data.
2. The method of claim 1, wherein the frequency encoding step number and the phase encoding step number associated with the scanning of step S1 are set to 1/4 of the formal scanning.
3. The method according to claim 2, wherein the step S1 is specifically performed by: n gain control parameters G1 and G2 … Gn are respectively set from large to small according to 6dB gain step; the phase coding comprises M steps, and a group of K space data is obtained through scanning under the control of each gain parameter; from the maximum gain G in turn1Firstly, analyzing the K space data scanned and collected under the control of the corresponding gain parameters, and finding out all phase encoding lines without overflow of echo amplitudes; sequentially finding out all phase encoding lines with the echo amplitudes not overflowing from the remaining phase encoding steps by the subsequent gain control parameters;
note G1To GnThe remaining number of non-overflowed phase encoding steps under control of the gain parameter is M1、M2…MnWherein M is1+M2…+Mn=M。
4. The method according to claim 3, wherein the step S2 is specifically performed by: from maximum gain G1And starting to compare the gain and the phase of the corresponding line of the echo acquired by the phase coding step number corresponding to each of the two adjacent gain control parameters to obtain a statistical gain difference factor and an echo phase difference under the control of the two adjacent gain control parameters.
5. The method according to claim 4, wherein step S3 comprises: the frequency encoding step number and the total phase encoding step number of each phase encoding line in the K space are expanded to be 4 times of those in the prescan.
6. The method of claim 5, wherein the step S3 further comprises normalizing the phase encoded line data under different gain step controls, specifically: gain G1Phase encoding under control to 4M1The step data remains unchanged; and normalizing the data corresponding to the phase coding steps under the control of the subsequent gain control parameters according to all the statistical gain difference factors and the echo phase difference before the gain control parameters.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011577697.0A CN112684393B (en) | 2020-12-28 | 2020-12-28 | Method for enhancing dynamic range of magnetic resonance spectrometer |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011577697.0A CN112684393B (en) | 2020-12-28 | 2020-12-28 | Method for enhancing dynamic range of magnetic resonance spectrometer |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112684393A true CN112684393A (en) | 2021-04-20 |
CN112684393B CN112684393B (en) | 2021-11-23 |
Family
ID=75452593
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011577697.0A Active CN112684393B (en) | 2020-12-28 | 2020-12-28 | Method for enhancing dynamic range of magnetic resonance spectrometer |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112684393B (en) |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH1075937A (en) * | 1996-09-03 | 1998-03-24 | Hitachi Medical Corp | Method and instrument for measuring mr angiography |
US5835618A (en) * | 1996-09-27 | 1998-11-10 | Siemens Corporate Research, Inc. | Uniform and non-uniform dynamic range remapping for optimum image display |
CN1234508A (en) * | 1998-02-13 | 1999-11-10 | 通用电气公司 | Quick self-rotary echo-pulse series for diffusion weighted imaging |
CN103033784A (en) * | 2012-12-12 | 2013-04-10 | 厦门大学 | Compressed sensing magnetic resonance imaging method controlled by radio-frequency pulse |
CN103389481A (en) * | 2012-05-11 | 2013-11-13 | 上海联影医疗科技有限公司 | Magnetic resonance frequency and phase position double-encoding sampling method and image reconstruction method |
CN103809140A (en) * | 2014-02-20 | 2014-05-21 | 厦门大学 | Small-view-field magnetic resonance imaging method based on single-sweep super-speed orthogonal space-time coding |
CN105988095A (en) * | 2015-02-06 | 2016-10-05 | 上海联影医疗科技有限公司 | Radio frequency receiving unit of magnetic resonance imaging device and method for improving dynamic range thereof |
CN106405459A (en) * | 2016-08-24 | 2017-02-15 | 沈阳东软医疗系统有限公司 | Time correction method, apparatus and device |
EP3462203A2 (en) * | 2004-09-16 | 2019-04-03 | Koninklijke Philips N.V. | Magnetic resonance receive coil with dynamic range control |
CN109907759A (en) * | 2019-04-01 | 2019-06-21 | 上海联影医疗科技有限公司 | MR imaging method and system |
CN110244246A (en) * | 2019-07-03 | 2019-09-17 | 上海联影医疗科技有限公司 | MR imaging method, device, computer equipment and storage medium |
CN110916664A (en) * | 2019-12-10 | 2020-03-27 | 电子科技大学 | Rapid magnetic resonance image reconstruction method based on deep learning |
CN111093495A (en) * | 2018-03-20 | 2020-05-01 | 株式会社日立制作所 | Magnetic resonance imaging apparatus, nyquist ghost correction method, and program for nyquist ghost correction |
CN111505550A (en) * | 2020-05-06 | 2020-08-07 | 电子科技大学 | Frequency switching method for frequency source of radio frequency excitation pulse generator and spectrometer receiver |
-
2020
- 2020-12-28 CN CN202011577697.0A patent/CN112684393B/en active Active
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH1075937A (en) * | 1996-09-03 | 1998-03-24 | Hitachi Medical Corp | Method and instrument for measuring mr angiography |
US5835618A (en) * | 1996-09-27 | 1998-11-10 | Siemens Corporate Research, Inc. | Uniform and non-uniform dynamic range remapping for optimum image display |
CN1234508A (en) * | 1998-02-13 | 1999-11-10 | 通用电气公司 | Quick self-rotary echo-pulse series for diffusion weighted imaging |
EP3462203A2 (en) * | 2004-09-16 | 2019-04-03 | Koninklijke Philips N.V. | Magnetic resonance receive coil with dynamic range control |
CN103389481A (en) * | 2012-05-11 | 2013-11-13 | 上海联影医疗科技有限公司 | Magnetic resonance frequency and phase position double-encoding sampling method and image reconstruction method |
CN103033784A (en) * | 2012-12-12 | 2013-04-10 | 厦门大学 | Compressed sensing magnetic resonance imaging method controlled by radio-frequency pulse |
CN103809140A (en) * | 2014-02-20 | 2014-05-21 | 厦门大学 | Small-view-field magnetic resonance imaging method based on single-sweep super-speed orthogonal space-time coding |
CN105988095A (en) * | 2015-02-06 | 2016-10-05 | 上海联影医疗科技有限公司 | Radio frequency receiving unit of magnetic resonance imaging device and method for improving dynamic range thereof |
CN106405459A (en) * | 2016-08-24 | 2017-02-15 | 沈阳东软医疗系统有限公司 | Time correction method, apparatus and device |
CN111093495A (en) * | 2018-03-20 | 2020-05-01 | 株式会社日立制作所 | Magnetic resonance imaging apparatus, nyquist ghost correction method, and program for nyquist ghost correction |
CN109907759A (en) * | 2019-04-01 | 2019-06-21 | 上海联影医疗科技有限公司 | MR imaging method and system |
CN110244246A (en) * | 2019-07-03 | 2019-09-17 | 上海联影医疗科技有限公司 | MR imaging method, device, computer equipment and storage medium |
CN110916664A (en) * | 2019-12-10 | 2020-03-27 | 电子科技大学 | Rapid magnetic resonance image reconstruction method based on deep learning |
CN111505550A (en) * | 2020-05-06 | 2020-08-07 | 电子科技大学 | Frequency switching method for frequency source of radio frequency excitation pulse generator and spectrometer receiver |
Non-Patent Citations (3)
Title |
---|
JIMMY LÄTT 等: "Accuracy of q-Space Related Parameters in MRI: Simulations and Phantom Measurements", 《IEEE TRANSACTIONS ON MEDICAL IMAGING》 * |
何珊: "基于部分K空间数据的并行磁共振成像", 《中国优秀硕士学位论文全文数据库 医学卫生科技辑》 * |
张扬松,卓彦,尧德中: "脑电磁成像进展及展望", 《中国科学:生命科学》 * |
Also Published As
Publication number | Publication date |
---|---|
CN112684393B (en) | 2021-11-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP4564958B2 (en) | Magnetic resonance image receiving circuit with dynamic gain and wireless receiver coil | |
US8212697B2 (en) | Methods of and arrangements for offset compensation of an analog-to-digital converter | |
EP3462203B1 (en) | Magnetic resonance receive coil with dynamic range control | |
DE102012206011A1 (en) | System and method for background calibration of time-interleaved analog-to-digital converters | |
US6985098B2 (en) | Analog front end circuit and method of compensating for DC offset in the analog front end circuit | |
US20170041013A1 (en) | Histogram based error estimation and correction | |
CN101427470A (en) | Delta sigma modulator analog-to-digital converters with multiple threshold comparisons during a delta sigma modulator output cycle | |
JP2005530385A (en) | ADGC method and system | |
CN111030954B (en) | Multichannel sampling broadband power amplifier predistortion method based on compressed sensing | |
US20120281784A1 (en) | Correction of analog defects in parallel analog-to-digital converters, in particular for multi-standard, software-defined radio, and/or cognitive radio use | |
CN105431847B (en) | The successive approximation modulus conversion with gain control for tuner | |
CN115097497B (en) | Amplitude and phase correction method and system of multi-channel receiver | |
CN112684393B (en) | Method for enhancing dynamic range of magnetic resonance spectrometer | |
WO2017041034A1 (en) | A system and method for direct-sample extremely wide band transceiver | |
US8212699B1 (en) | System and method for extending the overload range of a sigma delta ADC system by providing over-range quantization levels | |
US7982539B2 (en) | High resolution variable gain control | |
Eamaz et al. | HDR imaging with one-bit quantization | |
CN117176173A (en) | Analog-to-digital converter and terminal equipment | |
Lin et al. | An 11b pipeline ADC with parallel-sampling technique for converting multi-carrier signals | |
US20130162251A1 (en) | Parallel magnetic resonance imaging method for radial trajectory | |
CN111327328B (en) | Nuclear magnetic resonance data acquisition method and system based on multiple ADC | |
KR101840698B1 (en) | Apparatus and method for converting analog to digital | |
EP3985878A1 (en) | Radio frequency receiver system | |
CN117528271A (en) | Sampling method for infrared detector signal with high signal-to-noise ratio | |
Ding et al. | Digital Calibration Based on Polyphase Structure for Electronic Surveillance |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |