Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol
Magn Reson Med Sci. 2023 Sep 8. doi: 10.2463/mrms.tn.2022-0161. Online ahead of print.ABSTRACTSynthetic MRI is being increasingly used for the quantification of brain longitudinal relaxation time (T1), transverse relaxation time (T2), and proton density (PD) values. However, the effect of fast imaging protocols on these quantitative values has not been fully estimated. The purpose of this study was to investigate the effect of fast scan parameters on T1, T2, and PD measured with a multi-dynamic multi-echo (MDME) sequence of normal brain at 3.0T. Thirty-four volunteers were scanned using 3 MDME sequences with different scan...
Source: Magnetic Resonance in Medical Sciences : MRMS - September 10, 2023 Category: Radiology Authors: Zuofeng Zheng Yawen Liu Hongxia Yin Pengling Ren Tingting Zhang Jiafei Yang Zhenchang Wang Source Type: research

Nonlinear Gradient Field Mapping Using a Spherical Grid Phantom for 3 and 7 Tesla MR Imaging Systems Equipped with High-performance Gradient Coils
In this study, we measured the spatial nonlinearity of the magnetic field generated by the gradient coils of two MRI systems with high-performance gradient coils. The nonlinearity of the gradient fields was measured using 3D gradient echo sequences and a spherical phantom with a built-in lattice structure. The spatial variation of the gradient field was approximated to the 3rd order polynomials. The coefficients of the polynomials were calculated using the steepest descent method. The geometric distortion of the acquired 3D MR images was corrected using the polynomials and compared with the 3D images corrected using the ha...
Source: Magnetic Resonance in Medical Sciences : MRMS - September 10, 2023 Category: Radiology Authors: Ryoichi Kose Katsumi Kose Koji Fujimoto Tomohisa Okada Daiki Tamada Utaroh Motosugi Source Type: research

Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol
Magn Reson Med Sci. 2023 Sep 8. doi: 10.2463/mrms.tn.2022-0161. Online ahead of print.ABSTRACTSynthetic MRI is being increasingly used for the quantification of brain longitudinal relaxation time (T1), transverse relaxation time (T2), and proton density (PD) values. However, the effect of fast imaging protocols on these quantitative values has not been fully estimated. The purpose of this study was to investigate the effect of fast scan parameters on T1, T2, and PD measured with a multi-dynamic multi-echo (MDME) sequence of normal brain at 3.0T. Thirty-four volunteers were scanned using 3 MDME sequences with different scan...
Source: Magnetic Resonance in Medical Sciences : MRMS - September 10, 2023 Category: Radiology Authors: Zuofeng Zheng Yawen Liu Hongxia Yin Pengling Ren Tingting Zhang Jiafei Yang Zhenchang Wang Source Type: research

Nonlinear Gradient Field Mapping Using a Spherical Grid Phantom for 3 and 7 Tesla MR Imaging Systems Equipped with High-performance Gradient Coils
In this study, we measured the spatial nonlinearity of the magnetic field generated by the gradient coils of two MRI systems with high-performance gradient coils. The nonlinearity of the gradient fields was measured using 3D gradient echo sequences and a spherical phantom with a built-in lattice structure. The spatial variation of the gradient field was approximated to the 3rd order polynomials. The coefficients of the polynomials were calculated using the steepest descent method. The geometric distortion of the acquired 3D MR images was corrected using the polynomials and compared with the 3D images corrected using the ha...
Source: Magnetic Resonance in Medical Sciences : MRMS - September 10, 2023 Category: Radiology Authors: Ryoichi Kose Katsumi Kose Koji Fujimoto Tomohisa Okada Daiki Tamada Utaroh Motosugi Source Type: research

Novel T1 Analysis Method to Address Reduced Measurement Accuracy Due to Irregular Heart Rate Variability in Myocardial T1 Mapping Using Polarity-corrected Inversion Time Preparation
CONCLUSION: T1 analysis of PCTIP using the recurrence formula analysis achieved accurate and precise T1 measurements, even for irregular heart rate variability.PMID:37661369 | DOI:10.2463/mrms.mp.2023-0029 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Yuta Endo Sanae Takahashi Haruna Shibo Makoto Amanuma Kuninori Kobayashi Shigehide Kuhara Source Type: research

Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients
CONCLUSION: DLR is thus considered useful for image quality improvement on MR imaging. STIR imaging and CE-Quick 3D imaging with or without CS were validated as appropriate MR sequences for T-factor evaluation in NSCLC patients.PMID:37661425 | DOI:10.2463/mrms.mp.2023-0068 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Daisuke Takenaka Yoshiyuki Ozawa Kaori Yamamoto Maiko Shinohara Masato Ikedo Masao Yui Yuka Oshima Nayu Hamabuchi Hiroyuki Nagata Takahiro Ueda Hirotaka Ikeda Akiyoshi Iwase Takeshi Yoshikawa Hiroshi Toyama Yoshiharu Ohno Source Type: research

Novel T1 Analysis Method to Address Reduced Measurement Accuracy Due to Irregular Heart Rate Variability in Myocardial T1 Mapping Using Polarity-corrected Inversion Time Preparation
CONCLUSION: T1 analysis of PCTIP using the recurrence formula analysis achieved accurate and precise T1 measurements, even for irregular heart rate variability.PMID:37661369 | DOI:10.2463/mrms.mp.2023-0029 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Yuta Endo Sanae Takahashi Haruna Shibo Makoto Amanuma Kuninori Kobayashi Shigehide Kuhara Source Type: research

Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients
CONCLUSION: DLR is thus considered useful for image quality improvement on MR imaging. STIR imaging and CE-Quick 3D imaging with or without CS were validated as appropriate MR sequences for T-factor evaluation in NSCLC patients.PMID:37661425 | DOI:10.2463/mrms.mp.2023-0068 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Daisuke Takenaka Yoshiyuki Ozawa Kaori Yamamoto Maiko Shinohara Masato Ikedo Masao Yui Yuka Oshima Nayu Hamabuchi Hiroyuki Nagata Takahiro Ueda Hirotaka Ikeda Akiyoshi Iwase Takeshi Yoshikawa Hiroshi Toyama Yoshiharu Ohno Source Type: research

Novel T1 Analysis Method to Address Reduced Measurement Accuracy Due to Irregular Heart Rate Variability in Myocardial T1 Mapping Using Polarity-corrected Inversion Time Preparation
CONCLUSION: T1 analysis of PCTIP using the recurrence formula analysis achieved accurate and precise T1 measurements, even for irregular heart rate variability.PMID:37661369 | DOI:10.2463/mrms.mp.2023-0029 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Yuta Endo Sanae Takahashi Haruna Shibo Makoto Amanuma Kuninori Kobayashi Shigehide Kuhara Source Type: research

Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients
CONCLUSION: DLR is thus considered useful for image quality improvement on MR imaging. STIR imaging and CE-Quick 3D imaging with or without CS were validated as appropriate MR sequences for T-factor evaluation in NSCLC patients.PMID:37661425 | DOI:10.2463/mrms.mp.2023-0068 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Daisuke Takenaka Yoshiyuki Ozawa Kaori Yamamoto Maiko Shinohara Masato Ikedo Masao Yui Yuka Oshima Nayu Hamabuchi Hiroyuki Nagata Takahiro Ueda Hirotaka Ikeda Akiyoshi Iwase Takeshi Yoshikawa Hiroshi Toyama Yoshiharu Ohno Source Type: research

Novel T1 Analysis Method to Address Reduced Measurement Accuracy Due to Irregular Heart Rate Variability in Myocardial T1 Mapping Using Polarity-corrected Inversion Time Preparation
CONCLUSION: T1 analysis of PCTIP using the recurrence formula analysis achieved accurate and precise T1 measurements, even for irregular heart rate variability.PMID:37661369 | DOI:10.2463/mrms.mp.2023-0029 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Yuta Endo Sanae Takahashi Haruna Shibo Makoto Amanuma Kuninori Kobayashi Shigehide Kuhara Source Type: research

Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients
CONCLUSION: DLR is thus considered useful for image quality improvement on MR imaging. STIR imaging and CE-Quick 3D imaging with or without CS were validated as appropriate MR sequences for T-factor evaluation in NSCLC patients.PMID:37661425 | DOI:10.2463/mrms.mp.2023-0068 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Daisuke Takenaka Yoshiyuki Ozawa Kaori Yamamoto Maiko Shinohara Masato Ikedo Masao Yui Yuka Oshima Nayu Hamabuchi Hiroyuki Nagata Takahiro Ueda Hirotaka Ikeda Akiyoshi Iwase Takeshi Yoshikawa Hiroshi Toyama Yoshiharu Ohno Source Type: research

Novel T1 Analysis Method to Address Reduced Measurement Accuracy Due to Irregular Heart Rate Variability in Myocardial T1 Mapping Using Polarity-corrected Inversion Time Preparation
CONCLUSION: T1 analysis of PCTIP using the recurrence formula analysis achieved accurate and precise T1 measurements, even for irregular heart rate variability.PMID:37661369 | DOI:10.2463/mrms.mp.2023-0029 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Yuta Endo Sanae Takahashi Haruna Shibo Makoto Amanuma Kuninori Kobayashi Shigehide Kuhara Source Type: research

Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients
CONCLUSION: DLR is thus considered useful for image quality improvement on MR imaging. STIR imaging and CE-Quick 3D imaging with or without CS were validated as appropriate MR sequences for T-factor evaluation in NSCLC patients.PMID:37661425 | DOI:10.2463/mrms.mp.2023-0068 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Daisuke Takenaka Yoshiyuki Ozawa Kaori Yamamoto Maiko Shinohara Masato Ikedo Masao Yui Yuka Oshima Nayu Hamabuchi Hiroyuki Nagata Takahiro Ueda Hirotaka Ikeda Akiyoshi Iwase Takeshi Yoshikawa Hiroshi Toyama Yoshiharu Ohno Source Type: research

Novel T1 Analysis Method to Address Reduced Measurement Accuracy Due to Irregular Heart Rate Variability in Myocardial T1 Mapping Using Polarity-corrected Inversion Time Preparation
CONCLUSION: T1 analysis of PCTIP using the recurrence formula analysis achieved accurate and precise T1 measurements, even for irregular heart rate variability.PMID:37661369 | DOI:10.2463/mrms.mp.2023-0029 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Yuta Endo Sanae Takahashi Haruna Shibo Makoto Amanuma Kuninori Kobayashi Shigehide Kuhara Source Type: research