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  KEYWORD

Biolab: Ingegneria Biomedica

Automatic Registration Framework

Reference persons KRISTEN MARIKO MEIBURGER, MASSIMO SALVI

Research Groups Biolab: Ingegneria Biomedica

Description Rationale
The use of several stains during histology sample preparation can be useful for fusing complementary information about different tissue structures. It reveals distinct tissue properties that combined may be useful for grading, classification, or 3-D reconstruction. Nevertheless, since the slide preparation is
different for each stain and the procedure uses consecutive slices, the tissue undergoes complex and possibly large deformations.

Methods
The purpose of this thesis is to develop an automated solution for histological registration. The student will implement a registration framework dedicated to high-resolution histological images that can perform near real-time registration. The framework will consist of automatic background segmentation, iterative initial rotation search, and learning-based affine/nonrigid registration.

See also  automaticregistration.pdf 


Deadline 01/04/2023      PROPONI LA TUA CANDIDATURA




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