The invention discloses a method for nerve tracking, a non-temporary computer readable medium and equipment. The method includes performing a neural tracking procedure on the diffusion nuclear magnetic resonance image of the brain of the subject through a plurality of verified better tracking parameters to obtain a plurality of first tracking images; intercepting a plurality of nerve fibers between the two first regions of interest from each first tracking image; and establishing a nerve bundle skeleton from the nerve fibers intercepted by the plurality of first tracking images according to asuperposition program, and finally selecting a plurality of nerve fibers with a structure similar to that of the nerve bundle skeleton to obtain a specific nerve bundle of the tested person. Accordingly, the method for nerve tracking, non-transitory computer-readable medium, and apparatus may be used to achieve improved sensitivity to nerve tracking, and contribute to improving effects of pre-operative assessment and intra-operative navigation.

Method for nerve tracking, non-transitory computer readable medium and apparatus

The present disclosure provides a method and system of magnetic resonance imaging using a constrained gradient waveform. The constrained gradient waveform is designed to have only predetermined frequencies, for example excluding one or more identified resonant frequencies associated with the MRI system. The application of such a constrained gradient waveform during imaging may aid in reducing noise, vibration and/or heating of the MRI system during imaging.

Method and system of frequency constrained gradient waveform production

According to an aspect of the present inventive concept there is provided a method for diffusion weighted magnetic resonance imaging, comprising: generating by a gradient coil of a magnetic resonance imaging scanner a time-dependent magnetic field gradient G(t)=[Gx(t)Gy(t)Gz(t)]T, wherein the gradient G is asymmetric in time with respect to a refocusing pulse and wherein the gradient G is such that A=∫0TEh(t)G(t)G(t)Tdt is zero, where TE is an echo time and h(t) is a function of time which is positive during an interval prior to the refocusing pulse and negative during a time interval after the refocusing pulse

Method for performing diffusion weighted magnetic resonance measurements

A method, a non-temporary computer-readable medium and an apparatus for nerve tracing are provided. By performing a neural tracking procedure on a diffusion magnetic resonance image of a subject's brain based on a plurality of tracking parameters, which are proven and better, to obtain a plurality of first tracking images, extracting a plurality of nerve fibers between two first regions of interest in each of the first tracking images, establishing a neural fiber bundle skeleton based on a stacking procedure performed on the plurality of nerve fibers extracted from the first tracking images, and selecting the plurality of nerve fibers, which are similar in structure to the neural fiber bundle skeleton, to acquiring a specific fasciculus of the subject. Thus, the method, the non-temporary computer-readable medium and the apparatus for nerve tracing can be used to improve the sensitivity of neural tracking and be conducive to improvement of preoperative assessment and surgical navigation.

Method, non-transitory computer-readable media and apparatus for nerve tracing

According to a first aspect of the present inventive concept, there is provided a method for performing a diffusion weighted magnetic resonance measurement on a sample, the method comprising: operating a magnetic resonance scanner to apply a diffusion encoding sequence to the sample; and operating the magnetic resonance scanner to acquire from the sample one or more echo signals; wherein the diffusion encoding sequence comprises a diffusion encoding time-dependent magnetic field gradient g(t) with non-zero components gl(t) along at least two orthogonal directions y and z, and a b- tensor having at least two non-zero eigenvalues, the magnetic field gradient comprising a first and subsequent second encoding block, wherein an n-th order gradient moment magnitude along direction l ϵ (y,z) is given by |Mnl(t)| = |∫0 t gl(t')t 'n dt'|, and the first encoding block is adapted to yield, at an end of the first encoding block: along said direction y, |M ny (t)| ≤ Tn for each 0 ≤ n ≤ m, where T n is a predetermined n-th order threshold, and along said direction z, |Mnz(t)| Tn for n = m; and the second encoding block is adapted to yield, at an end of the second encoding block: along each one of said directions l ϵ (y,z): |Mnt(t)| ≤ Tn for each 0 ≤ n ≤ m, wherein m is an integer order equal to or greater than 1.

A method of performing diffusion weighted magnetic resonance measurements

A system and method for optimized diffusion-weighted imaging is provided. In one aspect, the method includes providing a plurality of constraints for imaging a target at a selected diffusion weighting, and applying an optimization framework to generate an optimized diffusion encoding gradient waveform satisfying the plurality of constraints. The method also includes performing, using the MRI system, a pulse sequence comprising the optimized diffusion encoding gradient waveform to generate diffusion-weighted data, and generating at least one image of the target using the diffusion-weighted data.

System and method for optimized diffusion--weighted imaging

Systems and methods for generating apparent diffusion coefficient maps and T2 maps of an object is provided. The method includes (a) performing a pulse sequence, using a magnetic resonance imaging (MRI) system, including a plurality of motion encoding gradients to acquire diffusion weighted imaging (DWI) data at a given echo time (TE) and, (b) during step (a), varying the TE to acquire a combined dataset. The method also includes (c) reconstructing both a T2 map of the object and an apparent diffusion coefficient (ADC) map of the object from the combined dataset.

Systems and methods for joint reconstruction of quantitative t2 and adc maps

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System and method for optimized diffusion--weighted imaging

Systems and methods for joint reconstruction of quantitative t2 and adc maps