Robust, globally consistent and fully automatic multi-image registration and montage synthesis for 3-D multi-channel images.

ABSTRACT: The need to map regions of brain tissue that are much wider than the field of view of the microscope arises frequently. One common approach is to collect a series of overlapping partial views, and align them to synthesize a montage covering the entire region of interest. We present a method that advances this approach in multiple ways. Our method (1) produces a globally consistent joint registration of an unorganized collection of three-dimensional (3-D) multi-channel images with or without stage micrometer data; (2) produces accurate registrations withstanding changes in scale, rotation, translation and shear by using a 3-D affine transformation model; (3) achieves complete automation, and does not require any parameter settings; (4) handles low and variable overlaps (5-15%) between adjac

SUBMITTER: Tsai CL 

PROVIDER: S-EPMC3566673 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature