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High-resolution DWI in the breast by Spatiotemporal encoding (SPEN): clinical utility in comparison with SS-EPI and RESOLVE

Author:Rena Nakayama  Mami Iima  Masako Kataoka  Maya Honda  Yuta Urushibata  Martins Otikovs  Noam Nissan  Lucio Frydman  Rie Ota  Aika Okazawa  Kazuki Tsuji  Masakazu Toi  Yuji Nakamoto  

Session Type:Oral  

Session Date:Monday, 05 June 2023  

Session Name:Keeping you Abreast: Advances in Breast MRI  

Program Number:0192  

Room Session:717A/B  

Institution :Kyoto University Faculty of Medicine  Kyoto University Graduate School of Medicine  Kyoto University Hospital  Sheba-Medical-Center  Siemens Healthcare K.K.  Tenri Hospital  Weizmann Institute of Science  Kansai Electric Power Hospital  

Usefulness of Deep Learning Models of DWI in Direct Differentiating Malignant and Benign Breast Tumors Without Lesion Segmentation

Author:Mami Iima  Kazuki Tsuji  Ryosuke Mizuno  Toshiki Yamazaki  Masako Kataoka  Maya Honda  Rie Ota  Aika Okazawa  Keiho Imanishi  Masakazu Toi  Yuji Nakamoto  

Session Type:Power Pitch  

Session Date:Thursday, 08 June 2023  

Session Name:Pitch: What's New in Body Imaging: Emerging Techniques & AI  

Program Number:1211  

Room Session:Power Pitch Theatre 2  

Institution :A.I.System Research CO.,Ltd.  e-Growth Co., Ltd.  Kyoto University Faculty of Medicine  Kyoto University Graduate School of Medi  Kyoto University Graduate School of Medicine  Institute for Advancement of Clinical and Translational Science (iACT), Kyoto U  

Usefulness of Deep Learning Models of DWI in Direct Differentiating Malignant and Benign Breast Tumors Without Lesion Segmentation

Author:Mami Iima  Kazuki Tsuji  Ryosuke Mizuno  Toshiki Yamazaki  Masako Kataoka  Maya Honda  Rie Ota  Aika Okazawa  Keiho Imanishi  Masakazu Toi  Yuji Nakamoto  

Session Type:Power Pitch Poster  

Session Date:Thursday, 08 June 2023  

Session Name:Poster: What's New in Body Imaging: Emerging Techniques & AI  

Program Number:1211  

Room Session:Power Pitch Theatre 2  

Institution :A.I.System Research CO.,Ltd.  e-Growth Co., Ltd.  Kyoto University Faculty of Medicine  Kyoto University Graduate School of Medi  Kyoto University Graduate School of Medicine  Institute for Advancement of Clinical and Translational Science (iACT), Kyoto U  

Comparison of fitting methods for Non-Gaussian diffusion and IVIM MRI parameter estimation in two mice xenograft models

Author:Yuko Someya  Mami Iima  Sawako Hayami  Hirohiko Imai  Hiroaki Takishima  Denis Le Bihan  Tomomi Nobashi  Tsuyoshi Ohno  Yuji Nakamoto  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Tumor Characterization  

Program Number:1683  

Room Session:Exhibition Halls D/E  

Institution :Kyoto University Faculty of Medicine  Kyoto University Graduate School of Medi  NeuroSpin  Kobe City Medical Center General Hospital  Kyoto University Graduate School of Medicine