\(\newcommand{L}[1]{\| #1 \|}\newcommand{VL}[1]{\L{ \vec{#1} }}\newcommand{R}[1]{\operatorname{Re}\,(#1)}\newcommand{I}[1]{\operatorname{Im}\, (#1)}\)

Affine and cross-modality registration

Grading

See: Project grading.

Teaching

• Python coding style;
• finishing optimizing spatial transformations;
• Rotations and rotation matrices;
• Resampling with scipy.ndimage;
• Rotation exercise;
• Optimizing rotation exercise;
• The image header and affine;
• Images and affines;
• Reslicing with affines exercise;
• mutual information.

Reading and homework

• Introduction to spatial normalization
• 15 minute section from the lecture on spatial processing by Ged Ridgway - section on registration between subjects is from 35.00 - 50.07.