Sonia Marie-Aurore Pujol PhD, Presenter: Nothing to Disclose

Alexandra J. Golby MD, Abstract Co-Author: Nothing to Disclose

William M. Wells PhD, Abstract Co-Author: Nothing to Disclose

Carlo Pierpaoli, Abstract Co-Author: Nothing to Disclose

Laurent Chauvin MS, Abstract Co-Author: Nothing to Disclose

Hatsuho Mamata MD, PhD, Abstract Co-Author: Nothing to Disclose

Guido Gerig, Abstract Co-Author: Nothing to Disclose

Martin Styner, Abstract Co-Author: Nothing to Disclose

Isaiah Norton, Abstract Co-Author: Nothing to Disclose

Sylvain Gouttard, Abstract Co-Author: Nothing to Disclose

Caroline Brun, Abstract Co-Author: Nothing to Disclose

Olivier Commowick PhD, Abstract Co-Author: Nothing to Disclose

Guang Cheng, Abstract Co-Author: Nothing to Disclose

Gabriel Girard, Abstract Co-Author: Nothing to Disclose

Alessio Moscato, Abstract Co-Author: Nothing to Disclose

Maged Goubran BMedSc, Abstract Co-Author: Nothing to Disclose

Ye Li, Abstract Co-Author: Nothing to Disclose

Ali R. Khan PhD, Abstract Co-Author: Nothing to Disclose

Jeremy Lecoeur PhD, Abstract Co-Author: Nothing to Disclose

Riza Guler, Abstract Co-Author: Nothing to Disclose

Jan Klein PhD, Abstract Co-Author: Nothing to Disclose

Joy Matsui, Abstract Co-Author: Nothing to Disclose

Yoshitaka Masutani PhD, Abstract Co-Author: Nothing to Disclose

Sudhir Pathak, Abstract Co-Author: Nothing to Disclose

Peter Neher, Abstract Co-Author: Nothing to Disclose

Hesamoddin Salehian, Abstract Co-Author: Nothing to Disclose

Aymeric Stamm, Abstract Co-Author: Nothing to Disclose

Manabu Tamura, Abstract Co-Author: Nothing to Disclose

Wendy Shi, Abstract Co-Author: Nothing to Disclose

Antonio Tristan MSC, Abstract Co-Author: Nothing to Disclose

Sinchai Tsao MS, Abstract Co-Author: Nothing to Disclose

Gopalkrishna Veni, Abstract Co-Author: Nothing to Disclose

Carl Fredrik Westin PhD, Abstract Co-Author: Nothing to Disclose

Yasukazu Kajita, Abstract Co-Author: Nothing to Disclose

Xiaolei Chen, Abstract Co-Author: Nothing to Disclose

Yoshihiro Muragaki, Abstract Co-Author: Nothing to Disclose

Arya Nabavi MD, Abstract Co-Author: Nothing to Disclose

Ron Kikinis MD, Abstract Co-Author: Nothing to Disclose

To provide standardized evaluation of Diffusion Tensor Imaging (DTI) tractography algorithms for mapping white matter pathways during glioma resection

Nineteen tractography teams reconstructed the corticospinal (CST) tract on a series of 11 cases presenting with a glioma near the motor cortex area (high-grade n=7, low-grade n=4), in the three editions of the DTI Tractography Challenge at the MICCAI 2011,2012 and 2013 conference. The datasets included DTI scans (20 and 30 gradient directions, b-value=1000 s/mm2) acquired on a 3T scanner, and co-registered T1-weighted and FLAIR scans with segmented tumor and edema. Participating teams were required to submit part of their tractography results prior to the workshop, and to process two cases in a limited time at the event. Five neurosurgeons and four DTI experts evaluated and discussed the tractography reconstructions using a web-based questionnaire with standardized views of the tractography results. Variability among methods was quantified based on the Dice coefficient of bundle overlap of the voxelized tracts.

The 232 corticospinal tracts submitted to the three editions of the DTI Challenge workshop showed a large inter-algorithm variability (average Dice coefficient of overlap: 0.23(tumor), 0.22(contralateral)). Standardized review of the results demonstrated that most algorithms could reconstruct the CST projection to the cortical motor foot area and identified limitations in the ability of some methods to track the lateral projections to the face and hand areas, as well as false-negative and false-positive tracts in both hemispheres. Improvements of the tractography reconstructions from year 1 to year 3 indicate this collaborative effort is a learning experience for the community.

DTI tractography reconstructions are complex geometric models of white matter anatomy that can provide clinically relevant information for the planning of glioma resection in eloquent areas. By providing a benchmark for the standardized evaluation of tractography algorithms on a common series of clinical data, the DTI tractography challenge initiative aims to accelerate the translation of novel tractography tools from research to the clinics.

Standardized evaluation of DTI tractography techniques can help establish the validity of tractography-derived information to assist in neurosurgical decision-making.

Pujol, S, Golby, A, Wells, W, Pierpaoli, C, Chauvin, L, Mamata, H, Gerig, G, Styner, M, Norton, I, Gouttard, S, Brun, C, Commowick, O, Cheng, G, Girard, G, Moscato, A, Goubran, M, Li, Y, Khan, A, Lecoeur, J, Guler, R, Klein, J, Matsui, J, Masutani, Y, Pathak, S, Neher, P, Salehian, H, Stamm, A, Tamura, M, Shi, W, Tristan, A, Tsao, S, Veni, G, Westin, C, Kajita, Y, Chen, X, Muragaki, Y, Nabavi, A, Kikinis, R, The DTI Challenge Initiative on the Standardized Evaluation of DTI Tractography for Neurosurgical Planning.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14009724.html