Publications by authors named "Natsuka Yazawa"
Article Synopsis
- A study compared compressed sensing (CS) with deep learning reconstruction (DLR) to traditional parallel imaging (PI) for enhancing image quality and reducing scan time in female pelvic MRI at 1.5-T.
- Results showed that CS combined with DLR yielded significantly higher signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) for both T1 and T2-weighted images, indicating improved diagnostic performance.
- The findings concluded that using CS with DLR is more effective than PI, providing better image quality and shorter examination times for female pelvic MRIs.
[Evaluation of prototype for additional pad packing (polystyrene ball bullet) for homogenously fat suppressed magnetic resonance imaging].
Nihon Hoshasen Gijutsu Gakkai Zasshi
January 2013
Purpose: Homogeneity of static magnetic field (B(0)) is unstable for head and neck magnetic resonance (MR) examination; consequently, chemical shift selective fat suppression becomes inhomogeneous. There is a commercially available additional pad to attenuate the B(0) inhomogeneity, but it is expensive. It has been reported that uncooked rice can be used as a material in the pad, but it has hygienic and weight problems.
View Article and Find Full Text PDFRadiotherapy is an important noninvasive treatment for many types of cancer. However, it has been reported that the proliferative, invasive, and metastatic capacities of tumor cells can be increased in the repopulated tumors that survive radiotherapy. We have previously established a radiation-surviving cell model for the human non-small cell lung cancer cell line H1299 by harvesting relic cells 14 days after irradiation (IR cells).
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