Abstract: A magnetic resonance (MR) system 10 includes a scan controller 20 which generates a plurality of like MR pulse sequences TR. Each pulse sequence includes a plurality (m) of RF excitation pulses EXC which selectively excite a nuclear species, a plurality of different spin lock pulses SL1, SL2, SLm before each RF excitation pulse EXC, a plurality of data readout intervals RE1, RE2, . . . , REm. A SAR unit 42 determines a SAR value corresponding to the pulse sequence and determines a shortest repetition time for the pulse sequence based on the SAR value. A plurality of pulse sequences TR are applied, each corresponds to a single phase encode. The pulse sequences are identical except for the phase encode gradients such that a plurality of T1p-weighted images of the examination region are generated. A T1p processor 40 analyzes the T1p-weighted images and generates a T1p map of the examination region according to the analysis.

Abstract: A system provides for remote monitoring using asynchronous code division multiple access (CDMA) communication techniques between a base station and one or more transponders. Each transponder is attached or otherwise associated with an object or an environment to be monitored. Upon receipt of an interrogation signal, a transponder generates and transmits a coded transponder signal containing the monitored data. The coded transponder signal is generated using a spreading code. Each transponder is associated with a unique, mutually exclusive set of spreading codes. Each spreading code is based on a unique transponder address and the monitored data to be sent. A detector asynchronously monitors received signals for any of the available spreading codes. Once the detector detects a particular spreading code, the base station can identify the source transponder and extract the monitored data.

Abstract: A method for generating an image comprises: acquiring a magnetic resonance image (DI); generating a magnetic susceptibility gradient vector map (D??) from the magnetic resonance image; and filtering the magnetic susceptibility gradient vector map to generate a magnetic susceptibility gradient image (96, 110) depicting magnetic susceptibility gradient information including at least some magnetic susceptibility gradient directional information.

Abstract: A system provides for remote monitoring using asynchronous code division multiple access (CDMA) communication techniques between a base station and one or more transponders. Each transponder is attached or otherwise associated with an object or an environment to be monitored. Upon receipt of an interrogation signal, a transponder generates and transmits a coded transponder signal containing the monitored data. The coded transponder signal is generated using a spreading code. Each transponder is associated with a unique, mutually exclusive set of spreading codes. Each spreading code is based on a unique transponder address and the monitored data to be sent. A detector asynchronously monitors received signals for any of the available spreading codes. Once the detector detects a particular spreading code, the base station can identify the source transponder and extract the monitored data.

Abstract: A system provides for remote monitoring using asynchronous code division multiple access (CDMA) communication techniques between a base station and one or more transponders. Each transponder is attached or otherwise associated with an object or an environment to be monitored. Upon receipt of an interrogation signal, a transponder generates and transmits a coded transponder signal containing the monitored data. The coded transponder signal is generated using a spreading code. Each transponder is associated with a unique, mutually exclusive set of spreading codes. Each spreading code is based on a unique transponder address and the monitored data to be sent. A detector asynchronously monitors received signals for any of the available spreading codes. Once the detector detects a particular spreading code, the base station can identify the source transponder and extract the monitored data.

Abstract: Magnetic resonance images reconstructed from a radial/projection acquisition are corrected for motion corruption caused by in-plane translational and in-plane rotational motion of an imaged subject using only the projection data itself. The method is based on the consistency properties of the 0th, 1st, and 2nd order moments of the spatial domain projections. In-plane translational motion is corrected by shifting/aligning the spatial projections according to the center of mass of each projection, which is calculated using the 0th and 1st moments. In-plane rotational motion is accounted for by determining the rotational motion time record using the 2nd moment information. The determination of the rotational motion time record using the 2nd moments is made possible by acquiring the successive MR projections at a view angle spacing that is substantially 45° and thus achieves sufficient linear independence.

Abstract: Two magnetic resonance frequency domain data sets are acquired with the phase and frequency encoding gradient axes swapped. A k-space phase difference data set is computed from the two acquisitions and corrections for interview in-plane, rigid body translational motion are calculated from the phase difference information and a large set of simultaneous linear equations. The two acquired data sets are corrected with phase changes to compensate for the subject motion and then combined to form a single image.

Abstract: A series of MR examinations of a patient are performed and the acquired images are aligned with each other so that small anatomic changes can be detected when images are compared. Alignment is achieved by acquiring navigator signals during each examination which are analyzed to measure patient misalignment from one examination to the next. The rotational and translational misalignment information is used to either prospectively or retrospectively align the MR images.

Abstract: Two magnetic resonance frequency domain data sets are acquired with the phase and frequency encoding gradient axes swapped. A k-space phase difference data set is computed from the two acquisitions and corrections for interview in-plane, rigid body translational motion are calculated from the phase difference information and a large set of simultaneous linear equations. The two acquired data sets are corrected with phase changes to compensate for the subject motion and then combined to form a single image.