TY - JOUR
T1 - Tractography reproducibility challenge with empirical data (TraCED)
T2 - The 2017 ISMRM diffusion study group challenge
AU - Nath, Vishwesh
AU - Schilling, Kurt G.
AU - Parvathaneni, Prasanna
AU - Huo, Yuankai
AU - Blaber, Justin A.
AU - Hainline, Allison E.
AU - Barakovic, Muhamed
AU - Romascano, David
AU - Rafael-Patino, Jonathan
AU - Frigo, Matteo
AU - Girard, Gabriel
AU - Thiran, Jean Philippe
AU - Daducci, Alessandro
AU - Rowe, Matt
AU - Rodrigues, Paulo
AU - Prčkovska, Vesna
AU - Aydogan, Dogu B.
AU - Sun, Wei
AU - Shi, Yonggang
AU - Parker, William A.
AU - Ould Ismail, Abdol A.
AU - Verma, Ragini
AU - Cabeen, Ryan P.
AU - Toga, Arthur W.
AU - Newton, Allen T.
AU - Wasserthal, Jakob
AU - Neher, Peter
AU - Maier-Hein, Klaus
AU - Savini, Giovanni
AU - Palesi, Fulvia
AU - Kaden, Enrico
AU - Wu, Ye
AU - He, Jianzhong
AU - Feng, Yuanjing
AU - Paquette, Michael
AU - Rheault, Francois
AU - Sidhu, Jasmeen
AU - Lebel, Catherine
AU - Leemans, Alexander
AU - Descoteaux, Maxime
AU - Dyrby, Tim B.
AU - Kang, Hakmook
AU - Landman, Bennett A.
N1 - Funding Information:
*Address reprint requests to: V.N., Computer Science, Vanderbilt University, Nashville, TN 37235. E-mail: [email protected] Contract grant number: R01EB017230 (to B.A.L.); Contract grant sponsor: National Center for Research Resources; Contract grant number: UL1 RR024975-01, and is now at the National Center for Advancing Translational Sciences, Grant 2 UL1 TR000445-06; Contract grant sponsor: China Scholarship Council Scholar-ship; Contract grant sponsor: National Natural Science Foundation of China; Contract grant number: 61379020.
Funding Information:
This work was conducted in part using the resources of the Advanced Computing Center for Research and Education at Vanderbilt University, Nashville, TN. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Informed consent under the Vanderbilt University (VU) Institutional Review Board (IRB) was obtained to conduct this study.
Publisher Copyright:
© 2019 International Society for Magnetic Resonance in Medicine
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Background: Fiber tracking with diffusion-weighted MRI has become an essential tool for estimating in vivo brain white matter architecture. Fiber tracking results are sensitive to the choice of processing method and tracking criteria. Purpose: To assess the variability for an algorithm in group studies reproducibility is of critical context. However, reproducibility does not assess the validity of the brain connections. Phantom studies provide concrete quantitative comparisons of methods relative to absolute ground truths, yet do no capture variabilities because of in vivo physiological factors. The ISMRM 2017 TraCED challenge was created to fulfill the gap. Study Type: A systematic review of algorithms and tract reproducibility studies. Subjects: Single healthy volunteers. Field Strength/Sequence: 3.0T, two different scanners by the same manufacturer. The multishell acquisition included b-values of 1000, 2000, and 3000 s/mm
2 with 20, 45, and 64 diffusion gradient directions per shell, respectively. Assessment: Nine international groups submitted 46 tractography algorithm entries each consisting 16 tracts per scan. The algorithms were assessed using intraclass correlation (ICC) and the Dice similarity measure. Statistical Tests: Containment analysis was performed to assess if the submitted algorithms had containment within tracts of larger volume submissions. This also serves the purpose to detect if spurious submissions had been made. Results: The top five submissions had high ICC and Dice >0.88. Reproducibility was high within the top five submissions when assessed across sessions or across scanners: 0.87–0.97. Containment analysis shows that the top five submissions are contained within larger volume submissions. From the total of 16 tracts as an outcome relatively the number of tracts with high, moderate, and low reproducibility were 8, 4, and 4. Data Conclusion: The different methods clearly result in fundamentally different tract structures at the more conservative specificity choices. Data and challenge infrastructure remain available for continued analysis and provide a platform for comparison. Level of Evidence: 5. Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2020;51:234–249.
AB - Background: Fiber tracking with diffusion-weighted MRI has become an essential tool for estimating in vivo brain white matter architecture. Fiber tracking results are sensitive to the choice of processing method and tracking criteria. Purpose: To assess the variability for an algorithm in group studies reproducibility is of critical context. However, reproducibility does not assess the validity of the brain connections. Phantom studies provide concrete quantitative comparisons of methods relative to absolute ground truths, yet do no capture variabilities because of in vivo physiological factors. The ISMRM 2017 TraCED challenge was created to fulfill the gap. Study Type: A systematic review of algorithms and tract reproducibility studies. Subjects: Single healthy volunteers. Field Strength/Sequence: 3.0T, two different scanners by the same manufacturer. The multishell acquisition included b-values of 1000, 2000, and 3000 s/mm
2 with 20, 45, and 64 diffusion gradient directions per shell, respectively. Assessment: Nine international groups submitted 46 tractography algorithm entries each consisting 16 tracts per scan. The algorithms were assessed using intraclass correlation (ICC) and the Dice similarity measure. Statistical Tests: Containment analysis was performed to assess if the submitted algorithms had containment within tracts of larger volume submissions. This also serves the purpose to detect if spurious submissions had been made. Results: The top five submissions had high ICC and Dice >0.88. Reproducibility was high within the top five submissions when assessed across sessions or across scanners: 0.87–0.97. Containment analysis shows that the top five submissions are contained within larger volume submissions. From the total of 16 tracts as an outcome relatively the number of tracts with high, moderate, and low reproducibility were 8, 4, and 4. Data Conclusion: The different methods clearly result in fundamentally different tract structures at the more conservative specificity choices. Data and challenge infrastructure remain available for continued analysis and provide a platform for comparison. Level of Evidence: 5. Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2020;51:234–249.
KW - challenge
KW - DW-MRI
KW - HARDI
KW - in vivo
KW - reproducibility
KW - tractography
UR - http://www.scopus.com/inward/record.url?scp=85067361819&partnerID=8YFLogxK
U2 - 10.1002/jmri.26794
DO - 10.1002/jmri.26794
M3 - Article
C2 - 31179595
AN - SCOPUS:85067361819
SN - 1053-1807
VL - 51
SP - 234
EP - 249
JO - Journal of Magnetic Resonance Imaging
JF - Journal of Magnetic Resonance Imaging
IS - 1
ER -