Attention deficit hyperactivity disorder (ADHD) is highly prevalent childhood-onset neurodevelopment disorder. Several clinical tools are used for ADHD diagnosis such as behavior rating scales, intelligence tests, severity, and dysfunction scales. However, these methods depend to the experience and training of physician increasing human error. DICOM Images using Magnetic Resonance Imaging (MRI) provides quantitative result such as fractional anisotropy or the number of tracts that could be helpful to support ADHD diagnosis.

The data set being sent is made up of two data sets. One data set is composed of children with ADHD and the other data set is composed of healthy control children. 

All MRI studies were performed on 1.5 T Philips Intera Achieva scanner (Philips, Inc., Netherlands) using an eight channel SENSE head-coil, Gradient Coils NOVA, (Copley 271 Dual, slew rate 80mT/m/ms, peak amplitude 120mT/m).

Diffusion weighted images were obtained covering the entire brain, with an axial EPI sequence with settings TR = 9491s, TE = 75 ms, FOV = 230 mm × 230 mm, matrix 124 × 124, 15 non-collinear directions (b-value 800 s/mm2) with fat suppression. Scans were acquired in the supine position and with the eyes closed (but always awake).