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Alexander Ganin

Researcher at General Electric

Publications -  16
Citations -  736

Alexander Ganin is an academic researcher from General Electric. The author has contributed to research in topics: Pulse sequence & Imaging phantom. The author has an hindex of 9, co-authored 16 publications receiving 686 citations. Previous affiliations of Alexander Ganin include Stanford University.

Papers
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Journal ArticleDOI

Concomitant gradient terms in phase contrast MR: Analysis and correction

TL;DR: This paper theoretically and experimentally shows the existence of two additional lowest‐order terms in the concomitant field, which it is called cross‐terms, which only arise when the longitudinal gradient Gz is simultaneously active with a transverse gradient (Gx or Gy).
Journal ArticleDOI

Concomitant gradient field effects in spiral scans.

TL;DR: Blurring caused by concomitant fields can be removed by variations of image reconstruction methods developed to correct for spatially dependent resonance offsets with nonrectangular k‐space trajectories.
Patent

System, method and apparatus for cancer imaging

TL;DR: In this article, a method for imaging cancer using a combined PET-MRI system takes advantage of the performance characteristics for both PET and MRI in the context of cancer imaging, where MRI is used to assess a large area of the body with high sensitivity for cancer and PET is then used in localized areas of concern to provide physiological information.
Patent

Method for compensating an MRI system for time dependent gradient field distortion

TL;DR: In this article, an MRI system performs a calibration procedure to calculate optimal compensation parameter values for a preemphasis filter that alters the shape of gradient waveforms, and the measured errors are used to calculate a gradient error function and the optimal compensation parameters are calculated by finding the minimum in the gradient error functions.
Patent

Exclusion of compromised pet data during simultaneous pet-mr acquisition

TL;DR: In this article, a system and method for simultaneously acquiring PET and MR data from a subject of interest with a hybrid PET-MR scanner includes monitoring transmission times of RF and gradient coils of the MR equipment and blanking segments of the PET data stream accordingly.