{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T18:42:03Z","timestamp":1760985723823,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030009304"},{"type":"electronic","value":"9783030009311"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00931-1_2","type":"book-chapter","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T23:26:09Z","timestamp":1536794769000},"page":"12-19","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Penalized Geodesic Tractography for Mitigating Gyral Bias"],"prefix":"10.1007","author":[{"given":"Ye","family":"Wu","sequence":"first","affiliation":[]},{"given":"Yuanjing","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Pew-Thian","family":"Yap","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,13]]},"reference":[{"key":"2_CR1","unstructured":"Johansen-Berg, H., Behrens, T.E.: Diffusion MRI: From Quantitative Measurement to in Vivo Neuroanatomy. Academic Press (2013)"},{"issue":"3","key":"2_CR2","doi-asserted-by":"publisher","first-page":"1449","DOI":"10.1002\/hbm.23936","volume":"39","author":"K Schilling","year":"2018","unstructured":"Schilling, K., Gao, Y., Janve, V., Stepniewska, I., Landman, B.A., Anderson, A.W.: Confirmation of a gyral bias in diffusion MRI fiber tractography. Hum. Brain Mapp. 39(3), 1449\u20131466 (2018)","journal-title":"Hum. Brain Mapp."},{"issue":"6076","key":"2_CR3","doi-asserted-by":"publisher","first-page":"1628","DOI":"10.1126\/science.1215280","volume":"335","author":"VJ Wedeen","year":"2012","unstructured":"Wedeen, V.J., et al.: The geometric structure of the brain fiber pathways. Science 335(6076), 1628\u20131634 (2012)","journal-title":"Science"},{"issue":"4","key":"2_CR4","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1002\/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO;2-O","volume":"44","author":"PJ Basser","year":"2000","unstructured":"Basser, P.J., Pajevic, S., Pierpaoli, C., Duda, J., Aldroubi, A.: In vivo fiber tractography using DT-MRI data. Magn. Reson. Med. 44(4), 625\u2013632 (2000)","journal-title":"Magn. Reson. Med."},{"issue":"1","key":"2_CR5","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.neuroimage.2006.09.018","volume":"34","author":"TE Behrens","year":"2007","unstructured":"Behrens, T.E., Berg, H.J., Jbabdi, S., Rushworth, M.F., Woolrich, M.W.: Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? NeuroImage 34(1), 144\u2013155 (2007)","journal-title":"NeuroImage"},{"key":"2_CR6","doi-asserted-by":"publisher","first-page":"1449","DOI":"10.1002\/hbm.23936","volume":"39","author":"K Schilling","year":"2017","unstructured":"Schilling, K., Gao, Y., Janve, V., Stepniewska, I., Landman, B.A., Anderson, A.W.: Confirmation of a gyral bias in diffusion MRI fiber tractography. Hum. Brain Mapp. 39, 1449\u20131466 (2017)","journal-title":"Hum. Brain Mapp."},{"key":"2_CR7","first-page":"2","volume":"2008","author":"S Jbabdi","year":"2008","unstructured":"Jbabdi, S., Bellec, P., Toro, R., Daunizeau, J., P\u00e9l\u00e9grini-Issac, M., Benali, H.: Accurate anisotropic fast marching for diffusion-based geodesic tractography. J. Biomed. Imaging 2008, 2 (2008)","journal-title":"J. Biomed. Imaging"},{"key":"2_CR8","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/978-3-319-02475-2_9","volume-title":"Computational Diffusion MRI and Brain Connectivity","author":"A Fuster","year":"2014","unstructured":"Fuster, A., Tristan-Vega, A., Haije, T.D., Westin, C.-F., Florack, L.: A novel Riemannian metric for geodesic tractography in DTI. In: Schultz, T., Nedjati-Gilani, G., Venkataraman, A., O\u2019Donnell, L., Panagiotaki, E. (eds.) Computational Diffusion MRI and Brain Connectivity, pp. 97\u2013104. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-02475-2_9"},{"issue":"1","key":"2_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10851-015-0586-8","volume":"54","author":"A Fuster","year":"2016","unstructured":"Fuster, A., Haije, T.D., Trist\u00e1n-Vega, A., Plantinga, B., Westin, C.F., Florack, L.: Adjugate diffusion tensors for geodesic tractography in white matter. J. Math. Imaging Vis. 54(1), 1\u201314 (2016)","journal-title":"J. Math. Imaging Vis."},{"key":"2_CR10","unstructured":"Duits, R., Meesters, S.P., Mirebeau, J.M., Portegies, J.M.: Optimal paths for variants of the 2D and 3D Reeds-Shepp car with applications in image analysis. arXiv preprint arXiv:1612.06137 (2016)"},{"key":"2_CR11","series-title":"Mathematics and Visualization","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/978-3-642-54301-2_8","volume-title":"Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data","author":"L Florack","year":"2014","unstructured":"Florack, L., Fuster, A.: Riemann-Finsler geometry for diffusion weighted magnetic resonance imaging. In: Westin, C.-F., Vilanova, A., Burgeth, B. (eds.) Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data. MV, pp. 189\u2013208. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-642-54301-2_8"},{"key":"2_CR12","first-page":"1","volume":"60","author":"JM Mirebeau","year":"2017","unstructured":"Mirebeau, J.M.: Fast-marching methods for curvature penalized shortest paths. J. Math. Imaging Vis. 60, 1\u201332 (2017)","journal-title":"J. Math. Imaging Vis."},{"issue":"3","key":"2_CR13","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1007\/s00211-013-0571-3","volume":"126","author":"JM Mirebeau","year":"2014","unstructured":"Mirebeau, J.M.: Efficient fast marching with Finsler metrics. Numerische Mathematik 126(3), 515\u2013557 (2014)","journal-title":"Numerische Mathematik"},{"key":"2_CR14","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","volume":"80","author":"DC Van Essen","year":"2013","unstructured":"Van Essen, D.C., Smith, S.M., Barch, D.M., Behrens, T.E., Yacoub, E., Ugurbil, K.: The WU-Minn human connectome project: an overview. NeuroImage 80, 62\u201379 (2013)","journal-title":"NeuroImage"},{"key":"2_CR15","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/j.neuroimage.2014.07.061","volume":"103","author":"B Jeurissen","year":"2014","unstructured":"Jeurissen, B., Tournier, J.D., Dhollander, T., Connelly, A., Sijbers, J.: Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data. NeuroImage 103, 411\u2013426 (2014)","journal-title":"NeuroImage"},{"issue":"1","key":"2_CR16","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1002\/ima.22005","volume":"22","author":"J Tournier","year":"2012","unstructured":"Tournier, J., Calamante, F., Connelly, A.: Mrtrix: diffusion tractography in crossing fiber regions. Int. J. Imaging Syst. Technol. 22(1), 53\u201366 (2012)","journal-title":"Int. J. Imaging Syst. Technol."},{"key":"2_CR17","unstructured":"Tournier, J.D., Calamante, F., Connelly, A.: Improved probabilistic streamlines tractography by 2nd order integration over fibre orientation distributions. In: Annual Meeting of the International Society of Magnetic Resonance in Medicine (ISMRM), p. 1670 (2010)"},{"issue":"9","key":"2_CR18","doi-asserted-by":"publisher","first-page":"4705","DOI":"10.1007\/s00429-015-1179-4","volume":"221","author":"D Wassermann","year":"2016","unstructured":"Wassermann, D., et al.: The white matter query language: a novel approach for describing human white matter anatomy. Brain Struct. Funct. 221(9), 4705\u20134721 (2016)","journal-title":"Brain Struct. Funct."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00931-1_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:03:26Z","timestamp":1710360206000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00931-1_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030009304","9783030009311"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00931-1_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"13 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Granada","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2018.org\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}