Diffusion tensor imaging (DTI) is used to portray WMT non-invasively in the human brain1. It has been used in the past decade to reduce the risk of harming eloquent areas of the brain during surgery1.
DTI was performed in fifty patients between March 2012 and January 2014 to portray the visual pathway. DTI might improve preservation of eloquent areas of the brain during surgery by providing important information about the anatomical location of white matter tracts. It has been incorporated into strategic planning for resection of complex brain lesions1. However, the portrayal of the visual pathway remains a challenge because there is no standard for the parameters of DTI, the placement of the seed volumes and interpretation of results12.
Different algorithms have been implemented so far 19-21. Some approaches concentrated on deterministic methods 19, 22-25. Others were using probabilistic methods,26,27,29. More recently, techniques using Q-ball tensor fields, diffusion spectral imaging and High Angular Resolution Diffusion Imaging (HARDI) are being used to depict white matter tracts among others the visual pathway 1,13-15,18 . Nevertheless, the necessary time for HARDI is significantly longer with 45 min, the software is not commercially available and emphasizes scientific applications18. The teaching period for HARDI seems to be longer than for DTI18.
The presented protocol is easy feasible and can be used for everyday routine in neurosurgical operations in order to avoid morbidity and improve the postoperative outcome. The additional time for this protocol is less than 9 min which is significantly faster than other protocols1,9,12,16. Acknowledging the fact that many sophisticated algorithms have been developed recently the paper restricts itself to the use of a commercially available and FDA approved software. However it is mandatory to take into account the limitations of this technique which are mentioned above.