{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T06:00:31Z","timestamp":1784959231260,"version":"3.55.0"},"reference-count":26,"publisher":"Japanese Society for Magnetic Resonance in Medicine","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MRMS","magn reson med sci"],"published-print":{"date-parts":[[2026]]},"DOI":"10.2463\/mrms.mp.2026-0009","type":"journal-article","created":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T22:12:19Z","timestamp":1784931139000},"page":"n\/a","source":"Crossref","is-referenced-by-count":0,"title":["Usefulness of Adaptive Complex Signal Average Diffusion-weighted MR Imaging of the Abdomen"],"prefix":"10.2463","volume":"25","author":[{"given":"Miwa","family":"Matsukuma","sequence":"first","affiliation":[{"name":"Department of Radiology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masahiro","family":"Tanabe","sequence":"additional","affiliation":[{"name":"Department of Radiology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mayumi","family":"Higashi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masatoshi","family":"Yamane","sequence":"additional","affiliation":[{"name":"Department of Radiological Technology, Yamaguchi University Hospital, Ube, Yamaguchi, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masahiro","family":"Abe","sequence":"additional","affiliation":[{"name":"Canon Medical Systems Corporation, Otawara, Tochigi, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryutaro","family":"Yano","sequence":"additional","affiliation":[{"name":"Canon Medical Systems Corporation, Otawara, Tochigi, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haruki","family":"Furutani","sequence":"additional","affiliation":[{"name":"Department of Radiology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jo","family":"Ishii","sequence":"additional","affiliation":[{"name":"Department of Radiology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katsuyoshi","family":"Ito","sequence":"additional","affiliation":[{"name":"Department of Radiology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1295","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"1. Obara M, Kwon J, Yoneyama M, Ueda Y, Cauteren MV. Technical advancements in abdominal diffusion-weighted imaging. Magn Reson Med Sci 2023; 22:191\u2013208.","DOI":"10.2463\/mrms.rev.2022-0107"},{"key":"2","doi-asserted-by":"crossref","unstructured":"2. Taouli B, Koh DM. Diffusion-weighted MR imaging of the liver. Radiology 2010; 254:47\u201366.","DOI":"10.1148\/radiol.09090021"},{"key":"3","doi-asserted-by":"crossref","unstructured":"3. Willemse JRJ, Lahaye MJ, Goedegebuure EP, et al. Added value of body MRI to detect primary abdominal malignancies in the diagnostic work-up of patients with adenocarcinoma of unknown primary. Eur Radiol 2025; 35:2702\u20132711.","DOI":"10.1007\/s00330-024-11149-w"},{"key":"4","doi-asserted-by":"crossref","unstructured":"4. Yang T, Li Y, Ye Z, et al. Diffusion weighted imaging of the abdomen and pelvis: Recent technical advances and clinical applications. Acad Radiol 2023; 30:470\u2013482.","DOI":"10.1016\/j.acra.2022.07.018"},{"key":"5","doi-asserted-by":"crossref","unstructured":"5. Han X, Dong Y, Xiu JJ, et al. Diffusion-weighted imaging for the left hepatic lobe has higher diagnostic accuracy for malignant focal liver lesions. Asian Pac J Cancer Prev 2014; 15:6155\u20136160.","DOI":"10.7314\/APJCP.2014.15.15.6155"},{"key":"6","doi-asserted-by":"crossref","unstructured":"6. Kandpal H, Sharma R, Madhusudhan KS, Kapoor KS. Respiratory-triggered versus breath-hold diffusion-weighted MRI of liver lesions: Comparison of image quality and apparent diffusion coefficient values. AJR Am J Roentgenol 2009; 192:915\u2013922.","DOI":"10.2214\/AJR.08.1260"},{"key":"7","doi-asserted-by":"crossref","unstructured":"7. Kwee TC, Takahara T, Niwa T, et al. Influence of cardiac motion on diffusion-weighted magnetic resonance imaging of the liver. MAGMA 2009; 22:319\u2013325.","DOI":"10.1007\/s10334-009-0183-1"},{"key":"8","doi-asserted-by":"crossref","unstructured":"8. Liau J, Lee J, Schroeder ME, Sirlin CB, Bydder M. Cardiac motion in diffusion-weighted MRI of the liver: Artifact and a method of correction. J Magn Reson Imaging 2012; 35:318\u2013327.","DOI":"10.1002\/jmri.22816"},{"key":"9","doi-asserted-by":"crossref","unstructured":"9. Murphy P, Wolfson T, Gamst A, Sirlin C, Bydder M. Error model for reduction of cardiac and respiratory motion effects in quantitative liver DW-MRI. Magn Reson Med 2013; 70:1460\u20131469.","DOI":"10.1002\/mrm.24563"},{"key":"10","doi-asserted-by":"crossref","unstructured":"10. M\u00fcrtz P, Flacke S, Tr\u00e4ber F, van den Brink JS, Gieseke J, Schild HH. Abdomen: Diffusion-weighted MR imaging with pulse-triggered single-shot sequences. Radiology 2002; 224:258\u2013264.","DOI":"10.1148\/radiol.2241011117"},{"key":"11","doi-asserted-by":"crossref","unstructured":"11. Debnath P, Tkach JA, Abramson ZR, et al. Multi-band vs. conventional diffusion-weighted MRI of the abdomen in children and young adults. Abdom Radiol (NY) 2025; 50:3363\u20133373.","DOI":"10.1007\/s00261-024-04765-z"},{"key":"12","doi-asserted-by":"crossref","unstructured":"12. Ichikawa S, Motosugi U, Tamada D, et al. Improving the quality of diffusion-weighted imaging of the left hepatic lobe using weighted averaging of signals from multiple excitations. Magn Reson Med Sci 2019; 18:225\u2013232.","DOI":"10.2463\/mrms.mp.2018-0085"},{"key":"13","doi-asserted-by":"crossref","unstructured":"13. Gadjimuradov F, Benkert T, Nickel MD, Fuhres T, Saake M, Maier A. Deep learning-guided weighted averaging for signal dropout compensation in DWI of the liver. Magn Reson Med 2022; 88:2679\u20132693.","DOI":"10.1002\/mrm.29380"},{"key":"14","doi-asserted-by":"crossref","unstructured":"14. Raspe J, Harder FN, Rupp S, et al. Retrospective motion artifact reduction by spatial scaling of liver diffusion-weighted images. Tomography 2023; 9:1839\u20131856.","DOI":"10.3390\/tomography9050146"},{"key":"15","doi-asserted-by":"crossref","unstructured":"15. Prah DE, Paulson ES, Nencka AS, Schmainda KM. A simple method for rectified noise floor suppression: Phase-corrected real data reconstruction with application to diffusion-weighted imaging. Magn Reson Med 2010; 64:418\u2013429.","DOI":"10.1002\/mrm.22407"},{"key":"16","doi-asserted-by":"crossref","unstructured":"16. Werner S, Zinsser D, Esser M, Nickel D, Nikolaou K, Othman AE. Enhanced image processing using complex averaging in diffusion-weighted imaging of the prostate: The impact on image quality and lesion detectability. Diagnostics (Basel) 2023; 13:2325.","DOI":"10.3390\/diagnostics13142325"},{"key":"17","doi-asserted-by":"crossref","unstructured":"17. Chen Z, Xing Z, Zheng E, et al. Optimization of motion-corrected liver diffusion-weighted imaging at 3 Tesla (3T): Incorporating complex averaging and reparametrized sinc fatsat pulse with optimized water excitation pulse. Quant Imaging Med Surg 2024; 14:6579\u20136589.","DOI":"10.21037\/qims-24-340"},{"key":"18","doi-asserted-by":"crossref","unstructured":"18. Tanabe M, Kawano Y, Ihara K, et al. Application of deep learning techniques for breath-hold, high-precision T2-weighted magnetic resonance imaging of the abdomen. Abdom Radiol (NY) 2025; 50:2312\u20132320.","DOI":"10.1007\/s00261-024-04675-0"},{"key":"19","doi-asserted-by":"crossref","unstructured":"19. Geng R, Zhang Y, Rice J, et al. Motion-robust, blood-suppressed, reduced-distortion diffusion MRI of the liver. Magn Reson Med 2023; 89:908\u2013921.","DOI":"10.1002\/mrm.29531"},{"key":"20","doi-asserted-by":"crossref","unstructured":"20. Geng R, Zhang Y, Starekova J, et al. Characterization and correction of cardiovascular motion artifacts in diffusion-weighted imaging of the pancreas. Magn Reson Med 2021; 86:1956\u20131969.","DOI":"10.1002\/mrm.28846"},{"key":"21","doi-asserted-by":"crossref","unstructured":"21. Eichner C, Cauley SF, Cohen-Adad J, et al. Real diffusion-weighted MRI enabling true signal averaging and increased diffusion contrast. Neuroimage 2015; 122:373\u2013384.","DOI":"10.1016\/j.neuroimage.2015.07.074"},{"key":"22","doi-asserted-by":"crossref","unstructured":"22. Koay CG, Ozarslan E, Basser PJ. A signal transformational framework for breaking the noise floor and its applications in MRI. J Magn Reson 2009; 197:108\u2013119.","DOI":"10.1016\/j.jmr.2008.11.015"},{"key":"23","doi-asserted-by":"crossref","unstructured":"23. Pizzolato M, Gilbert G, Thiran JP, Descoteaux M, Deriche R. Adaptive phase correction of diffusion-weighted images. Neuroimage 2020; 206:116274.","DOI":"10.1016\/j.neuroimage.2019.116274"},{"key":"24","doi-asserted-by":"crossref","unstructured":"24. Lemainque T, Yoneyama M, Morsch C, et al. Reduction of ADC bias in diffusion MRI with deep learning-based acceleration: A phantom validation study at 3.0 T. Magn Reson Imaging 2024; 110:96\u2013103.","DOI":"10.1016\/j.mri.2024.04.018"},{"key":"25","doi-asserted-by":"crossref","unstructured":"25. Allen TJ, van der Heijden RA, Simchick G, Hernando D. Reproducibility of liver ADC measurements using first moment optimized diffusion imaging. Magn Reson Med 2025; 93:1568\u20131584.","DOI":"10.1002\/mrm.30372"},{"key":"26","doi-asserted-by":"crossref","unstructured":"26. Hernando D, Zhang Y, Pirasteh A. Quantitative diffusion MRI of the abdomen and pelvis. Med Phys 2022; 49:2774\u20132793.","DOI":"10.1002\/mp.15246"}],"container-title":["Magnetic Resonance in Medical Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/mrms\/25\/4\/25_mp.2026-0009\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T05:04:23Z","timestamp":1784955863000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/mrms\/25\/4\/25_mp.2026-0009\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":26,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026]]}},"URL":"https:\/\/doi.org\/10.2463\/mrms.mp.2026-0009","relation":{},"ISSN":["1347-3182","1880-2206"],"issn-type":[{"value":"1347-3182","type":"print"},{"value":"1880-2206","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"article-number":"mp.2026-0009"}}