Study for the Function Reconstruct Images by Using Obtained Data and Iterative Parallel Reconstruction Method in Case Scan Is Aborted [Presidential Award Proceedings]

Severe patients may ask for the scan to be aborted. We evaluated whether conspicuous artifacts could be reduced in the 2DFSE sequence when the scan was aborted using the iterative parallel reconstruction and acquired data. The conspicuous artifacts were diminished, even though all the data were not acquired.

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Publication Details

Journal
Japanese Journal of Magnetic Resonance in Medicine
Published
2024-08-15
DOI
https://doi.org/10.2463/jjmrm.2023-1809
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Study for the Function Reconstruct Images by Using Obtained Data and Iterative Parallel Reconstruction Method in Case Scan Is Aborted [Presidential Award Proceedings]

Chikako Moriwake, Masahiro Takizawa, Yusuke HOSHINO, Shinji KUROKAWA
Japanese Journal of Magnetic Resonance in Medicine
Radiomics and Machine Learning in Medical Imaging
article

Study for the Function Reconstruct Images by Using Obtained Data and Iterative Parallel Reconstruction Method in Case Scan Is Aborted [Presidential Award Proceedings]

Chikako Moriwake, Masahiro Takizawa, Yusuke HOSHINO, Shinji KUROKAWA
article en

Abstract

Severe patients may ask for the scan to be aborted. We evaluated whether conspicuous artifacts could be reduced in the 2DFSE sequence when the scan was aborted using the iterative parallel reconstruction and acquired data. The conspicuous artifacts were diminished, even though all the data were not acquired.

Japanese Journal of Magnetic Resonance in MedicineVol. 44(3)
Fujifilm (Japan) (JP)
Openalex Percentile: Top 75%
Radiomics and Machine Learning in Medical Imaging
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