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Registration of serial sections : An evaluation method based on distortions of the ground truths

Title data

Lobachev, Oleg ; Funatomi, Takuya ; Pfaffenroth, Alexander ; Förster, Reinhold ; Knudsen, Lars ; Wrede, Christoph ; Guthe, Michael ; Haberthür, David ; Hlushchuk, Ruslan ; Salaets, Thomas ; Toelen, Jaan ; Gaffling, Simone ; Mühlfeld, Christian ; Grothausmann, Roman:
Registration of serial sections : An evaluation method based on distortions of the ground truths.
arXiv , 2020 . - 62 p.

Official URL: Volltext

Abstract in another language

Registration of histological serial sections is a challenging task. Serial sections exhibit
distortions and damage from sectioning. Missing information on how the tissue looked
before cutting makes a realistic validation of 2D registrations extremely difficult.
This work proposes methods for ground-truth-based evaluation of registrations.
Firstly, we present a methodology to generate test data for registrations. We distort an
innately registered image stack in the manner similar to the cutting distortion of serial
sections. Test cases are generated from existing 3D data sets, thus the ground truth is
known. Secondly, our test case generation premises evaluation of the registrations with
known ground truths. Our methodology for such an evaluation technique distinguishes
this work from other approaches. Both under- and over-registration become evident in
our evaluations. We also survey existing validation efforts.
We present a full-series evaluation across six different registration methods applied
to our distorted 3D data sets of animal lungs. Our distorted and ground truth data sets
are made publicly available

Further data

Item Type: Preprint, postprint
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Professor Applied Computer Science V > Professor Applied Computer Science V - Univ.-Prof. Dr. Michael Guthe
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 07 May 2024 09:06
Last Modified: 07 May 2024 09:06
URI: https://eref.uni-bayreuth.de/id/eprint/89500