Work

Robust registration of calcium images by learned contrast synthesis

Year: 2016

Type: conference-paper

Abstract: Multi-modal image registration is a challenging task that is vital to fuse complementary signals for subsequent analyses. Despite much research into cost functions addressing this challenge, there exist cases in which these are ineffective. In this work, we show that (1) this is true for the registration of in-vivo Drosophila brain volumes visualizing genetically encoded calcium indicators to an nc82 atlas and (2) that machine learning based contrast synthesis can yield improvements. More specifically, the number of subjects for which the registration outright failed was greatly reduced (from 40% to 15%) by using a synthesized image.

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi.2016.7493463

Authors: John A. Bogovic, Philipp Hanslovsky, Allan Wong, Stephan Saalfeld

Institutions: Howard Hughes Medical Institute, Janelia Research Campus

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2228548648

FWCI: 0.891

Cites: 13

Cited by: 249

Related to: 10