G01R33/246

MAGNETIC RESONANCE IMAGING DEVICE AND SENSITIVITY DISTRIBUTION CALCULATION PROGRAM

During obtaining a sensitivity distribution in a k-space, data based on which the sensitivity distribution is obtained is expanded with a mirror image to create an expanded image to prevent spectrum leakage, and the sensitivity distribution is stably calculated. During obtaining the sensitivity distribution in the k-space, image data based on which the sensitivity distribution is obtained is inverted as a mirror image to be made into the expanded image, the expanded image is transformed into k-space data, and a frequency component (frequency space data) of the sensitivity distribution is calculated. A region corresponding to the original image data is clipped from the calculated frequency space data, and the sensitivity distribution is obtained.

Method for detecting tumor tissue boundaries or tumor stromal cell distribution range

A method for detecting tumor tissue boundaries or a tumor stromal cell distribution range, more specifically, a diagnostic or non-diagnostic method for determining the boundaries of a tumor tissue; the boundaries of the tumor tissue are determined by means of determining the boundaries of the tumor stromal cells in the tumor tissue. The present method can more accurately determine the boundaries of tumor tissue, which serves to more accurately instruct the treatment of tumors, especially with respect to surgical treatment.

System and method for MRI coil sensitivity estimation and reconstruction

A system is provided for MRI coil sensitivity estimation and reconstruction At least two cascades of regularization networks are serially connected such that the output of a cascade is used as input of a following cascade, at least two deepsets coil sensitivity map networks are serially connected such that the output of a deepsets coil sensitivity map network is used as input of a following deepsets coil sensitivity map network (CR), and wherein the outputs of the deepsets coil sensitivity map networks are also used as inputs for the cascades.

UPPER COIL ASSEMBLY OF AN RF PROBE FOR USE IN AN MRI SYSTEM

An upper coil assembly for use with a lower RF coil assembly mounted to provide an RF probe arranged to be engaged with a head of a patient in MRI includes a plurality of coil loops arranged in a row defining a phase shift coil array with each coil loop including an independent output conductor for communicating signals to a respective preamplifier for independent amplification and each coil loop including a plurality of capacitors at spaced positions therearound. To decouple the loops each coil loop partly overlaps a next coil loop with a first decoupling capacitor shared on a common portion of each coil loop and each next coil loop. The first and third coil loops are also decoupled by using third decoupling capacitor in a connecting conductor between the first and third coil loops.

Single-sided 3D magnet and magnetic resonance imaging (MRI) system

A magnet assembly for a portable magnetic resonance imaging (MRI) system includes a former having a plurality of slots and a plurality of magnet blocks configured to create a single-sided permanent magnet. Each of the plurality of magnet blocks are positioned in one of the plurality of slots of the former. The arrangement of the plurality of magnet blocks is configured to optimize homogeneity over a target field of view for brain imaging and to form a cap-shaped configuration to be positioned on a head of a subject.

MR IMAGING WITH T1 COMPENSATED B1 MAPPING
20230145981 · 2023-05-11 ·

The invention relates to a method of MR imaging. It is an object of the invention to provide an improved B.sub.1 mapping method that is less affected by T.sub.1 relaxation. The invention proposes that a first stimulated echo imaging sequence (25) is generated comprising at least two preparation RF pulses (α) radiated during a first preparation period (21) and a sequence of reading RF pulses (β) radiated during a first acquisition period (22) temporally subsequent to the first preparation period (21). A first set of FID signals (I.sub.FID) and a first set of stimulated echo signals (I.sub.STE) are acquired during the first acquisition period (22). A second stimulated echo imaging sequence (27) is generated comprising again at least two preparation RF pulses (α) radiated during a second preparation period (21) and a sequence of reading RF pulses (β) radiated during a second acquisition period (22) temporally subsequent to the second preparation period (21). A second set of FID signals (I.sub.FID) and a second set of stimulated echo signals (I.sub.STE) are acquired during the second acquisition period (22). The first and second sets of FID signals (IFID) have different T.sub.1-weightings and/or the first and second sets of stimulated echo signals (I.sub.STE) have different T.sub.1-weightings. A B.sub.1 map indicating the spatial distribution of the RF field of the RF pulses is derived from the acquired first and second sets of FID (I.sub.FID) and stimulated echo (I.sub.STE) signals, wherein the different T.sub.1-weightings are made use of to compensate for influences on the B.sub.1 map caused by T.sub.1 relaxation. Preferably, either the first or the second preparation period (21) is preceded by an RF inversion pulse to obtain the different T.sub.1-weightings. Moreover, the invention relates to an MR device (1) and to a computer program for an MR device (1).

Magnetic resonance imaging device and sensitivity distribution calculation program

During obtaining a sensitivity distribution in a k-space, data based on which the sensitivity distribution is obtained is expanded with a mirror image to create an expanded image to prevent spectrum leakage, and the sensitivity distribution is stably calculated. During obtaining the sensitivity distribution in the k-space, image data based on which the sensitivity distribution is obtained is inverted as a mirror image to be made into the expanded image, the expanded image is transformed into k-space data, and a frequency component (frequency space data) of the sensitivity distribution is calculated. A region corresponding to the original image data is clipped from the calculated frequency space data, and the sensitivity distribution is obtained.

Localization Apparatus and Localization Method
20170356744 · 2017-12-14 ·

A localization apparatus, the position of which in a localization space is determinable including a movement sensor system having at least one translation sensor and at least one rotation sensor for capturing movement variables that act on the localization apparatus and at least one magnetometer apparatus for capturing magnetic field data in the localization space. Rotationally invariant magnetic features are determinable by means of an internal or external data processing apparatus. A means for determining an absolute position of the localization apparatus in the localization space and the integrated data processing apparatus or a coupling to the external data processing apparatus for calculating a position while processing the measurement data of the movement sensor system using a magnetic field map that was stored in advance, having magnetic parameters of at least parts of the localization space and for processing the determined absolute position are included.

MONITORING AN ABSORPTION RATE OF INDUCTIVELY COUPLED COILS

The disclosure relates to a method for monitoring an absorption rate when using a primary coil of a magnetic resonance device and a secondary coil inductively coupled to the primary coil and to a monitoring unit, a magnetic resonance device and a computer program product. According to the method a maximum admissible absorption rate is provided, using which a maximum admissible B1 field strength of the secondary coil is determined. Furthermore, an actual B1 field strength of the secondary coil is determined. The absorption rate is monitored using the actual B1 field strength of the secondary coil and the maximum admissible B1 field strength of the secondary coil.

Retrospective tuning of soft tissue contrast in magnetic resonance imaging

Retrospective magnetic resonance imaging (MRI) uses a deep neural network framework [102] to generate from MRI imaging data [100] acquired by an MRI apparatus using a predetermined imaging protocol tissue relaxation parametric maps and magnetic/radiofrequency field maps [104] which are then used to generate using the Bloch equations [106] predicted MRI images [108] corresponding to imaging protocols distinct from the predetermined imaging protocol. This allows obtaining a wide spectrum of tissue contrasts distinct from those of the acquired MRI imaging data.