Article
Neuroimaging
Andreanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad, Yaou Liu
Summary: Spinal cord tumors lead to neurological morbidity and mortality. Automated segmentation methods can provide morphometric quantification of tumors, edema, and cavity, improving monitoring and treatment planning. The developed model, based on a cascaded architecture with U-Net models, achieved good segmentation results through a two-stage process of locating and labeling tumors.
NEUROIMAGE-CLINICAL
(2021)
Article
Robotics
Alessio Caporali, Matteo Pantano, Lucas Janisch, Daniel Regulin, Gianluca Palli, Dongheui Lee
Summary: This letter presents a methodology for generating datasets for training DLOs segmentation algorithms, using a mixture of synthetic and real samples. By labeling key-points along a real-world DLO with a VR tracker and combining synthetic and real-world data, deep learning algorithms for semantic and instance segmentation can be trained. The results show that labeling with a VR tracker is effective and mixing real-world and synthetic data improves the performance of segmentation algorithms for DLOs.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Veterinary Sciences
Valentina Lorenzo, Joao Ribeiro, Marco Bernardini, Juan J. Minguez, Meritxell Moral, Carlos Blanco, Tina Loncarica, Araceli Gamito, Marti Pumarola
Summary: This multicentric retrospective study describes the clinical and MRI features and pathological studies of spinal lymphoma in 27 cats. The study found that spinal lymphoma typically presents as an ill-defined epidural focal lesion on MRI, with compression of the spinal cord. The lesions are often localized in the lumbar vertebral segment and have certain MRI characteristics and histopathological features. Abdominal pain and neck pain are the most common neurological symptoms of spinal lymphoma, and MRI can assist in the diagnosis of spinal lymphoma.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Shunjie Dong, Zixuan Pan, Yu Fu, Qianqian Yang, Yuanxue Gao, Tianbai Yu, Yiyu Shi, Cheng Zhuo
Summary: In this paper, an enhanced Deformable U-Net (DeU-Net) is proposed for cardiac MRI segmentation. The DeU-Net consists of three modules: Temporal Deformable Aggregation Module (TDAM), Enhanced Deformable Attention Network (EDAN), and Probabilistic Noise Correction Module (PNCM). Experimental results demonstrate the state-of-the-art performance of DeU-Net on the Extended ACDC dataset.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Neurosciences
Nina Jurcic, Caroline Michelle, Jerome Trouslard, Nicolas Wanaverbecq, Anne Kastner
Summary: Recent research has identified a novel population of neurons in adult mice, called CSF-cNs, which are in contact with the cerebrospinal fluid around the medullo-spinal central canal (CC). These neurons express a sensory protein, PKD2L1, and show migratory capabilities. They may play a role in sensing changes in the composition of CSF or interstitial liquid.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Article
Automation & Control Systems
Junxiu Liu, Xiuhao Liang, Rixing Yang, Yuling Luo, Hao Lu, Liangjia Li, Shunsheng Zhang, Su Yang
Summary: In this work, a Federated Learning-based Vertebral Body Segment Framework (FLVBSF) is proposed, which improves the sensitivity to vertebral body pixels and segmentation accuracy by using a local Dual Attention Gates (DAGs)-based attention mechanism and a global federated learning framework. Experimental results show that FLVBSF significantly enhances the performance of the vertebral segmentation model.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Biotechnology & Applied Microbiology
Jinxuan Lv, Lang Zhang, Jiajie Xu, Wang Li, Gen Li, Hengyu Zhou
Summary: In this study, we propose an innovative approach for mandibular canal segmentation, using a Transformer architecture and cl-Dice loss to focus on the connectivity of the canal. We introduce a pixel-level feature fusion technique to enhance sensitivity to fine-grained details, and address sample imbalance and vague boundaries through mandibular foramen localization. Contrast enhancement is used for pre-processing, and a Deep Label Fusion strategy is adopted for pre-training on synthetic datasets. Experimental evaluations demonstrate superior performance on a publicly accessible dataset.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Veterinary Sciences
Namsoon Lee, Jeonghyun Seo, Junghee Yoon
Summary: This study aimed to establish morphologic MRI reference ranges of the cervical spinal canal and cord in normal small-breed dogs. The height, width, and cross-sectional area of the spinal canal and cord increased as the dog's weight increased, providing basic and morphometric information for diagnosing and researching cervical spinal diseases in small-breed dogs.
FRONTIERS IN VETERINARY SCIENCE
(2021)
Article
Engineering, Electrical & Electronic
Colline Blanc, Shiva Shahrampour, Feroze B. Mohamed, Benjamin de Leener
Summary: This study presents a novel automated segmentation method that combines deterministic approaches and neural networks to process pediatric and injured spinal cord MRI data. The method achieves good performances on the whole spinal cord and outperforms existing methods on spinal cord injury regions.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(2023)
Article
Engineering, Biomedical
Meletios Liaskos, Michalis A. Savelonas, Pantelis A. Asvestas, Dimitrios Papageorgiou, George K. Matsopoulos
Summary: The proposed computational method for boundary extraction of vertebrae, IVD and SC in MRI using shape priors derived from CT images achieves segmentation results comparable to the state of the art. The bimodal strategy adopted is validated by showing that CT-derived shape priors lead to more accurate boundary extraction than MRI-derived shape priors. The method does not depend on the availability of CT/MR image pairs or large amounts of training data, and requires limited user intervention.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2021)
Article
Clinical Neurology
Gergely David, Dario Pfyffer, Kevin Vallotton, Nikolai Pfender, Alan Thompson, Nikolaus Weiskopf, Siawoosh Mohammadi, Armin Curt, Patrick Freund
Summary: Traumatic and non-traumatic spinal cord injuries result in neurodegeneration throughout the entire neuraxis. Research on the spatiotemporal dynamics of grey and white matter neurodegeneration above and below the injury is lacking. This study found that grey matter atrophy lagged behind white matter neurodegeneration above the injury, while the processes progressed in parallel in the lumbar enlargement below the injury. Tracking tissue-specific neurodegeneration trajectories can be valuable for monitoring recovery and treatment effects.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2021)
Article
Endocrinology & Metabolism
Briana P. Meyer, Lydiane Hirschler, Seongtaek Lee, Shekar N. Kurpad, Jan M. Warnking, Emmanuel L. Barbier, Matthew D. Budde
Summary: This study optimized pCASL for the rodent cervical spinal cord and demonstrated its utility in identifying perfusion deficits in an acute contusion injury model. Results showed that perfusion was clearly decreased at the site of injury after moderate contusion.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2021)
Article
Computer Science, Artificial Intelligence
Yiwei Wang, Wenjun Xia, Zhennan Yan, Liang Zhao, Xiaohe Bian, Chang Liu, Zhengnan Qi, Shaoting Zhang, Zisheng Tang
Summary: In this paper, we propose a novel framework, consisting of DentalNet and PulpNet neural networks, for accurate and automatic segmentation of individual tooth and root canal from CBCT images. Our method achieves superior performances compared to several comparing methods and significantly reduces the time required for surgical planning. Incorporating our method into the clinical workflow leads to satisfying outcomes in difficult root canal treatments.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Biophysics
Saul Beltran, Marco Reisert, Axel J. J. Krafft, Sibylle Frase, Hansjoerg Mast, Horst Urbach, Niklas Luetzen, Marc Hohenhaus, Katharina Wolf
Summary: Phase-contrast MRI can show pulsatile spinal cord and CSF velocities related to the cardiac cycle. Recent studies have found differences in segment C2/C3 between patients with spontaneous intracranial hypotension and healthy controls. This method may be a promising tool for resolving clinical and diagnostic uncertainties.
NMR IN BIOMEDICINE
(2023)
Article
Clinical Neurology
Masao Koda, Hideki Hanaoka, Yasuhisa Fujii, Michiko Hanawa, Yohei Kawasaki, Yoshihito Ozawa, Tadami Fujiwara, Takeo Furuya, Yasushi Ijima, Junya Saito, Mitsuhiro Kitamura, Takuya Miyamoto, Seiji Ohtori, Yukei Matsumoto, Tetsuya Abe, Hiroshi Takahashi, Kei Watanabe, Toru Hirano, Masayuki Ohashi, Hirokazu Shoji, Tatsuki Mizouchi, Norio Kawahara, Masahito Kawaguchi, Yugo Orita, Takeshi Sasamoto, Masahito Yoshioka, Masafumi Fujii, Katsutaka Yonezawa, Daisuke Soma, Hiroshi Taneichi, Daisaku Takeuchi, Satoshi Inami, Hiroshi Moridaira, Haruki Ueda, Futoshi Asano, Yosuke Shibao, Ikuo Aita, Yosuke Takeuchi, Masaya Mimura, Jun Shimbo, Yukio Someya, Sumio Ikenoue, Hiroaki Sameda, Kan Takase, Yoshikazu Ikeda, Fumitake Nakajima, Mitsuhiro Hashimoto, Fumio Hasue, Takayuki Fujiyoshi, Koshiro Kamiya, Masahiko Watanabe, Hiroyuki Katoh, Yukihiro Matsuyama, Tomohiko Hasegawa, Go Yoshida, Hideyuki Arima, Yu Yamato, Shin Oe, Daisuke Togawa, Sho Kobayashi, Koji Akeda, Eiji Kawamoto, Hiroshi Imai, Toshihiko Sakakibara, Akihiro Sudo, Yasuo Ito, Takeshi Kikuchi, Tomoyuki Takigawa, Takuya Morita, Nobuhiro Tanaka, Kazuyoshi Nakanishi, Naosuke Kamei, Shinji Kotaka, Hideo Baba, Tsuyoshi Okudaira, Hiroaki Konishi, Takayuki Yamaguchi, Keigo Ito, Yoshito Katayama, Taro Matsumoto, Tomohiro Matsumoto, Haruo Kanno, Toshimi Aizawa, Ko Hashimoto, Toshimitsu Eto, Takehiro Sugaya, Michiharu Matsuda, Kazunari Fushimi, Satoshi Nozawa, Chizuo Iwai, Toshihiko Taguchi, Tsukasa Kanchiku, Hidenori Suzuki, Norihiro Nishida, Masahiro Funaba, Takashi Sakai, Yasuaki Imajo, Masashi Yamazaki
Summary: The clinical trial of G-CSF treatment for acute spinal cord injury patients did not show significant primary efficacy, but subanalysis suggested potential benefits for specific populations.
Article
Computer Science, Artificial Intelligence
Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, Michael G. Fehlings, Rohit Bakshi, Subhash Tummala, Vincent Auclair, Donald G. McLaren, Virginie Callot, Julien Cohen-Adad, Michael Sdika
MEDICAL IMAGE ANALYSIS
(2018)
Correction
Multidisciplinary Sciences
Allan R. Martin, Benjamin De Leener, Julien Cohen-Adad, Sukhvinder Kalsi-Ryan, David W. Cadotte, Jefferson R. Wilson, Lindsay Tetreault, Aria Nouri, Adrian Crawley, David J. Mikulis, Howard Ginsberg, Eric M. Massicotte, Michael G. Fehlings
Article
Neurosciences
Charley Gros, Benjamin De Leener, Atef Badji, Josefina Maranzano, Dominique Eden, Sara M. Dupont, Jason Talbott, Ren Zhuoquiong, Yaou Liu, Tobias Granberg, Russell Ouellette, Yasuhiko Tachibana, Masaaki Hori, Kouhei Kamiya, Lydia Chougar, Leszek Stawiarz, Jan Hillert, Ellise Bannier, Anne Kerbrat, Gilles Edan, Pierre Labauge, Virginie Callot, Jean Pelletier, Bertrand Audoin, Henitsoa Rasoanandrianina, Jean-Christophe Brisset, Paola Valsasina, Maria A. Rocca, Massimo Filippi, Rohit Bakshi, Shahamat Tauhid, Ferran Prados, Marios Yiannakas, Hugh Kearney, Olga Ciccarelli, Seth Smith, Constantino Andrada Treaba, Caterina Mainero, Jennifer Lefeuvre, Daniel S. Reich, Govind Nair, Vincent Auclair, Donald G. McLaren, Allan R. Martin, Michael G. Fehlings, Shahabeddin Vahdat, Ali Khatibi, Julien Doyon, Timothy Shepherd, Erik Charlson, Sridar Narayanan, Julien Cohen-Adad
Article
Clinical Neurology
Dominique Eden, Charley Gros, Atef Badji, Sara M. Dupont, Benjamin De Leener, Josefina Maranzano, Ren Zhuoquiong, Yaou Liu, Tobias Granberg, Russell Ouellette, Leszek Stawiarz, Jan Hillert, Jason Talbott, Elise Bannier, Anne Kerbrat, Gilles Edan, Pierre Labauge, Virginie Callot, Jean Pelletier, Bertrand Audoin, Henitsoa Rasoanandrianina, Jean-Christophe Brisset, Paola Valsasina, Maria A. Rocca, Massimo Filippi, Rohit Bakshi, Shahamat Tauhid, Ferran Prados, Marios Yiannakas, Hugh Kearney, Olga Ciccarelli, Seth A. Smith, Constantina Andrada Treaba, Caterina Mainero, Jennifer Lefeuvre, Daniel S. Reich, Govind Nair, Timothy M. Shepherd, Erik Charlson, Yasuhiko Tachibana, Masaaki Hori, Kouhei Kamiya, Lydia Chougar, Sridar Narayanan, Julien Cohen-Adad
Article
Clinical Neurology
Gabriel Mangeat, Russell Ouellette, Maxime Wabartha, Benjamin De Leener, Michael Platten, Virginija Danylaite Karrenbauer, Marcel Warntjes, Nikola Stikov, Caterina Mainero, Julien Cohen-Adad, Tobias Granberg
JOURNAL OF NEUROIMAGING
(2020)
Article
Clinical Neurology
Russell Ouellette, Constantina A. Treaba, Tobias Granberg, Elena Herranz, Valeria Barletta, Ambica Mehndiratta, Benjamin De Leener, Shahamat Tauhid, Fawad Yousuf, Sarah M. Dupont, Eric C. Klawiter, Jacob A. Sloane, Rohit Bakshi, Julien Cohen-Adad, Caterina Mainero
Article
Clinical Neurology
S. Shahrampour, B. De Leener, M. Alizadeh, D. Middleton, L. Krisa, A. E. Flanders, S. H. Faro, J. Cohen-Adad, F. B. Mohamed
Summary: This study aimed to develop a processing pipeline for generating pediatric spinal cord white matter tracts, establish normative values of DTI indices for various pathways, and investigate age-related changes in these indices.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2021)
Article
Biochemical Research Methods
Julien Cohen-Adad, Eva Alonso-Ortiz, Mihael Abramovic, Carina Arneitz, Nicole Atcheson, Laura Barlow, Robert L. Barry, Markus Barth, Marco Battiston, Christian Buechel, Matthew Budde, Virginie Callot, Anna J. E. Combes, Benjamin De Leener, Maxime Descoteaux, Paulo Loureiro de Sousa, Marek Dostal, Julien Doyon, Adam Dvorak, Falk Eippert, Karla R. Epperson, Kevin S. Epperson, Patrick Freund, Juergen Finsterbusch, Alexandru Foias, Michela Fratini, Issei Fukunaga, Claudia A. M. Gandini Wheeler-Kingshott, Giancarlo Germani, Guillaume Gilbert, Federico Giove, Charley Gros, Francesco Grussu, Akifumi Hagiwara, Pierre-Gilles Henry, Tomas Horak, Masaaki Hori, James Joers, Kouhei Kamiya, Haleh Karbasforoushan, Milos Kerkovsky, Ali Khatibi, Joo-Won Kim, Nawal Kinany, Hagen Kitzler, Shannon Kolind, Yazhuo Kong, Petr Kudlicka, Paul Kuntke, Nyoman D. Kurniawan, Slawomir Kusmia, Rene Labounek, Maria Marcella Lagana, Cornelia Laule, Christine S. Law, Christophe Lenglet, Tobias Leutritz, Yaou Liu, Sara Llufriu, Sean Mackey, Eloy Martinez-Heras, Loan Mattera, Igor Nestrasil, Kristin P. O'Grady, Nico Papinutto, Daniel Papp, Deborah Pareto, Todd B. Parrish, Anna Pichiecchio, Ferran Prados, Alex Rovira, Marc J. Ruitenberg, Rebecca S. Samson, Giovanni Savini, Maryam Seif, Alan C. Seifert, Alex K. Smith, Seth A. Smith, Zachary A. Smith, Elisabeth Solana, Yuichi Suzuki, George Tackley, Alexandra Tinnermann, Jan Valosek, Dimitri Van De Ville, Marios C. Yiannakas, Kenneth A. Weber, Nikolaus Weiskopf, Richard G. Wise, Patrik O. Wyss, Junqian Xu
Summary: The study introduces a harmonized quantitative MRI protocol called the spine generic protocol to address challenges in quantitative spinal cord imaging. The protocol provides guidance for assessing spinal cord structure and has been validated in 260 healthy subjects.
Review
Biology
Elizabeth Levitis, Cassandra D. Gould van Praag, Remi Gau, Stephan Heunis, Elizabeth DuPre, Gregory Kiar, Katherine L. Bottenhorn, Tristan Glatard, Aki Nikolaidis, Kirstie Jane Whitaker, Matteo Mancini, Guiomar Niso, Soroosh Afyouni, Eva Alonso-Ortiz, Stefan Appelhoff, Aurina Arnatkeviciute, Selim Melvin Atay, Tibor Auer, Giulia Baracchini, Johanna M. M. Bayer, Michael J. S. Beauvais, Janine D. Bijsterbosch, Isil P. Bilgin, Saskia Bollmann, Steffen Bollmann, Rotem Botvinik-Nezer, Molly G. Bright, Vince D. Calhoun, Xiao Chen, Sidhant Chopra, Hu Chuan-Peng, Thomas G. Close, Savannah L. Cookson, R. Cameron Craddock, Alejandro De la Vega, Benjamin De Leener, Damion Demeter, Paola Di Maio, Erin W. Dickie, Simon B. Eickhoff, Oscar Esteban, Karolina Finc, Matteo Frigo, Saampras Ganesan, Melanie Ganz, Kelly G. Garner, Eduardo A. Garza-Villarreal, Gabriel Gonzalez-Escamilla, Rohit Goswami, John D. Griffiths, Tijl Grootswagers, Samuel Guay, Olivia Guest, Daniel A. Handwerker, Peer Herholz, Katja Heuer, Dorien C. Huijser, Vittorio Iacovella, Michael J. E. Joseph, Agah Karakuzu, David B. Keator, Xenia Kobeleva, Manoj Kumar, Angela R. Laird, Linda J. Larson-Prior, Alexandra Lautarescu, Alberto Lazari, Jon Haitz Legarreta, Xue-Ying Li, Jinglei Lv, Sina L. Mansour, David Meunier, Dustin Moraczewski, Tulika Nandi, Samuel A. Nastase, Matthias Nau, Stephanie Noble, Martin Norgaard, Johnes Obungoloch, Robert Oostenveld, Edwina R. Orchard, Russell A. Poldrack, Anqi Qiu, Pradeep Reddy Raamana, Ariel Rokem, Saige Rutherford, Malvika Sharan, Thomas B. Shaw, Warda T. Syeda, Meghan M. Testerman, Roberto Toro, Sofie L. Valk, Sofie Van den Bossche, Gael Varoquaux, Frantisek Vasa, Michele Veldsman, Jakub Vohryzek, Adina S. Wagner, Reubs J. Walsh, Tonya White, Fu-Te Wong, Xihe Xie, Chao-Gan Yan, Yu-Fang Yang, Yohan Yee, Gaston E. Zanitti, Ana E. Van Gulick, Eugene Duff, Camille Maumet
Summary: The shift to online academic conferences in 2020 has been praised for its inclusivity in removing economic, physical, and legal barriers, allowing a more global community to participate. However, there are still significant obstacles to truly diverse participation in online conferences, such as inaccessible tools, scheduling biases, and visibility issues. Therefore, actively promoting diversity in online conference design is crucial to fostering social justice and ensuring meaningful participation for all.
Correction
Multidisciplinary Sciences
Julien Cohen-Adad, Eva Alonso-Ortiz, Mihael Abramovic, Carina Arneitz, Nicole Atcheson, Laura Barlow, Robert L. Barry, Markus Barth, Marco Battiston, Christian Buchel, Matthew Budde, Virginie Callot, Anna J. E. Combes, Benjamin De Leener, Maxime Descoteaux, Paulo Loureiro de Sousa, Marek Dostal, Julien Doyon, Adam Dvorak, Falk Eippert, Karla R. Epperson, Kevin S. Epperson, Patrick Freund, Jurgen Finsterbusch, Alexandru Foias, Michela Fratini, Issei Fukunaga, Claudia A. M. Gandini Wheeler-Kingshott, Giancarlo Germani, Guillaume Gilbert, Federico Giove, Charley Gros, Francesco Grussu, Akifumi Hagiwara, Pierre-Gilles Henry, Tomas Horak, Masaaki Hori, James Joers, Kouhei Kamiya, Haleh Karbasforoushan, Milos Kerkovsky, Ali Khatibi, Joo-Won Kim, Nawal Kinany, Hagen H. Kitzler, Shannon Kolind, Yazhuo Kong, Petr Kudlicka, Paul Kuntke, Nyoman D. Kurniawan, Slawomir Kusmia, Rene Labounek, Maria Marcella Lagana, Cornelia Laule, Christine S. Law, Christophe Lenglet, Tobias Leutritz, Yaou Liu, Sara Llufriu, Sean Mackey, Eloy Martinez-Heras, Loan Mattera, Igor Nestrasil, Kristin P. O'Grady, Nico Papinutto, Daniel Papp, Deborah Pareto, Todd B. Parrish, Anna Pichiecchio, Ferran Prados, Alex Rovira, Marc J. Ruitenberg, Rebecca S. Samson, Giovanni Savini, Maryam Seif, Alan C. Seifert, Alex K. Smith, Seth A. Smith, Zachary A. Smith, Elisabeth Solana, Y. Suzuki, George Tackley, Alexandra Tinnermann, Jan Valosek, Dimitri van de Ville, Marios C. Yiannakas, Kenneth A. Weber, Nikolaus Weiskopf, Richard G. Wise, Patrik O. Wyss, Junqian Xu
Article
Multidisciplinary Sciences
Julien Cohen-Adad, Eva Alonso-Ortiz, Mihael Abramovic, Carina Arneitz, Nicole Atcheson, Laura Barlow, Robert L. Barry, Markus Barth, Marco Battiston, Christian Buchel, Matthew Budde, Virginie Callot, Anna J. E. Combes, Benjamin De Leener, Maxime Descoteaux, Paulo Loureiro de Sousa, Marek Dostal, Julien Doyon, Adam Dvorak, Falk Eippert, Karla R. Epperson, Kevin S. Epperson, Patrick Freund, Jurgen Finsterbusch, Alexandru Foias, Michela Fratini, Issei Fukunaga, Claudia A. M. Gandini Wheeler-Kingshott, Giancarlo Germani, Guillaume Gilbert, Federico Giove, Charley Gros, Francesco Grussu, Akifumi Hagiwara, Pierre-Gilles Henry, Tomas Horak, Masaaki Hori, James Joers, Kouhei Kamiya, Haleh Karbasforoushan, Milos Kerkovsky, Ali Khatibi, Joo-Won Kim, Nawal Kinany, Hagen H. Kitzler, Shannon Kolind, Yazhuo Kong, Petr Kudlicka, Paul Kuntke, Nyoman D. Kurniawan, Slawomir Kusmia, Rene Labounek, Maria Marcella Lagana, Cornelia Laule, Christine S. Law, Christophe Lenglet, Tobias Leutritz, Yaou Liu, Sara Llufriu, Sean Mackey, Eloy Martinez-Heras, Loan Mattera, Igor Nestrasil, Kristin P. O'Grady, Nico Papinutto, Daniel Papp, Deborah Pareto, Todd B. Parrish, Anna Pichiecchio, Ferran Prados, Alex Rovira, Marc J. Ruitenberg, Rebecca S. Samson, Giovanni Savini, Maryam Seif, Alan C. Seifert, Alex K. Smith, Seth A. Smith, Zachary A. Smith, Elisabeth Solana, Y. Suzuki, George Tackley, Alexandra Tinnermann, Jan Valosek, Dimitri van de Ville, Marios C. Yiannakas, Kenneth A. . Weber, Nikolaus Weiskopf, Richard G. Wise, Patrik O. Wyss, Junqian Xu
Summary: The paper introduces a spine generic quantitative MRI protocol and presents normative values and statistics generated from datasets across multiple centers, demonstrating high reproducibility of the protocol. This will support the development of accessible and reproducible quantitative MRI in the spinal cord.
Correction
Multidisciplinary Sciences
Julien Cohen-Adad, Eva Alonso-Ortiz, Mihael Abramovic, Carina Arneitz, Nicole Atcheson, Laura Barlow, Robert L. Barry, Markus Barth, Marco Battiston, Christian Buchel, Matthew Budde, Virginie Callot, Anna J. E. Combes, Benjamin De Leener, Maxime Descoteaux, Paulo Loureiro de Sousa, Marek Dostal, Julien Doyon, Adam Dvorak, Falk Eippert, Karla R. Epperson, Kevin S. Epperson, Patrick Freund, Jurgen Finsterbusch, Alexandru Foias, Michela Fratini, Issei Fukunaga, Claudia A. M. Gandini Wheeler-Kingshott, Giancarlo Germani, Guillaume Gilbert, Federico Giove, Charley Gros, Francesco Grussu, Akifumi Hagiwara, Pierre-Gilles Henry, Tomas Horak, Masaaki Hori, James Joers, Kouhei Kamiya, Haleh Karbasforoushan, Milos Kerkovsky, Ali Khatibi, Joo-Won Kim, Nawal Kinany, Hagen H. Kitzler, Shannon Kolind, Yazhuo Kong, Petr Kudlicka, Paul Kuntke, Nyoman D. Kurniawan, Slawomir Kusmia, Rene Labounek, Maria Marcella Lagana, Cornelia Laule, Christine S. Law, Christophe Lenglet, Tobias Leutritz, Yaou Liu, Sara Llufriu, Sean Mackey, Eloy Martinez-Heras, Loan Mattera, Igor Nestrasil, Kristin P. O'Grady, Nico Papinutto, Daniel Papp, Deborah Pareto, Todd B. Parrish, Anna Pichiecchio, Ferran Prados, Alex Rovira, Marc J. Ruitenberg, Rebecca S. Samson, Giovanni Savini, Maryam Seif, Alan C. Seifert, Alex K. Smith, Seth A. Smith, Zachary A. Smith, Elisabeth Solana, Y. Suzuki, George Tackley, Alexandra Tinnermann, Jan Valosek, Dimitri Van de Ville, Marios C. Yiannakas, Kenneth A. Weber, Nikolaus Weiskopf, Richard G. Wise, Patrik O. Wyss, Junqian Xu
Meeting Abstract
Clinical Neurology
R. Ouellette, C. A. Treaba, T. Granberg, E. Herranz, V. Barletta, A. Mehndiratta, B. De Leener, S. Tauhid, F. Yousuf, S. Dupont, E. C. Klawiter, J. A. Sloane, R. Bakshi, J. Cohen-Adad, C. Mainero
MULTIPLE SCLEROSIS JOURNAL
(2019)
Meeting Abstract
Clinical Neurology
A. Kerbrat, C. Gros, A. Badji, E. Bannier, B. Combes, F. Galassi, P. Labauge, X. Ayrignac, C. Carra Dalliere, F. Pinna, B. De Leener, D. Eden, J. Maranzano, R. Zhuoquiong, T. Granberg, L. Stawiarz, J. Hillert, R. Ouellette, J. Talbott, Y. Tachibana, M. Hori, K. Kamiya, L. Chougar, J. Lefeuvre, D. Reich, G. Nair, P. Valsasina, M. Rocca, M. Filippi, R. Chu, R. Bakshi, G. Edan, J. Cohen-Adad
MULTIPLE SCLEROSIS JOURNAL
(2019)
Meeting Abstract
Clinical Neurology
R. Ouellette, C. A. Treaba, T. Granberg, V. Barletta, E. Herranz, G. Mangeat, A. Mehndiratta, S. Tauhid, F. Yousuf, B. De Leener, S. Dupont, J. A. Sloane, R. Bakshi, J. Cohen-Adad, C. Mainero
MULTIPLE SCLEROSIS JOURNAL
(2018)