Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates. / Çallar, Tolga Can; Rueckert, Elmar; Böttger, Sven.

in: Current directions in biomedical engineering, Jahrgang 6.2020, Nr. 3, 20203031, 01.09.2020.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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@article{c122eacf5f5845f3988a5e16ec70235d,
title = "Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates",
abstract = "Computer-aided medical systems, e.g. in the fields of medical robotics or image-based assistance, are continuously investigated to overcome human limitations concerning perception, memory or dexterity. A common requirement of such systems is the availability of a digital model describing the patient's position and morphology during a procedure. Operational complexity and technical limitations of established 3D imaging methods leave clinical settings in need of a method for the fast acquisition of a three-dimensional body surface representation. For this purpose, we propose an unsupervised and efficient body registration pipeline based on the markerless elastic registration and completion of single-view stereo range images of the body surface with statistical parametric body shape templates. Initial results show a promising representative quality of the models generated through the registration process with submillimetric fitting accuracy and realistic surface morphology, indicating the general feasibility of our approach as an instant body registration method for automated medical and biometric applications. ",
keywords = "3D modeling, automation, body registration, computer vision, medical robotics, range imaging",
author = "{\c C}allar, {Tolga Can} and Elmar Rueckert and Sven B{\"o}ttger",
note = "Publisher Copyright: {\textcopyright} 2020 by Walter de Gruyter Berlin/Boston 2020.",
year = "2020",
month = sep,
day = "1",
doi = "10.1515/cdbme-2020-3031",
language = "English",
volume = "6.2020",
journal = " Current directions in biomedical engineering",
issn = "2364-5504",
publisher = "de Gruyter",
number = "3",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates

AU - Çallar, Tolga Can

AU - Rueckert, Elmar

AU - Böttger, Sven

N1 - Publisher Copyright: © 2020 by Walter de Gruyter Berlin/Boston 2020.

PY - 2020/9/1

Y1 - 2020/9/1

N2 - Computer-aided medical systems, e.g. in the fields of medical robotics or image-based assistance, are continuously investigated to overcome human limitations concerning perception, memory or dexterity. A common requirement of such systems is the availability of a digital model describing the patient's position and morphology during a procedure. Operational complexity and technical limitations of established 3D imaging methods leave clinical settings in need of a method for the fast acquisition of a three-dimensional body surface representation. For this purpose, we propose an unsupervised and efficient body registration pipeline based on the markerless elastic registration and completion of single-view stereo range images of the body surface with statistical parametric body shape templates. Initial results show a promising representative quality of the models generated through the registration process with submillimetric fitting accuracy and realistic surface morphology, indicating the general feasibility of our approach as an instant body registration method for automated medical and biometric applications.

AB - Computer-aided medical systems, e.g. in the fields of medical robotics or image-based assistance, are continuously investigated to overcome human limitations concerning perception, memory or dexterity. A common requirement of such systems is the availability of a digital model describing the patient's position and morphology during a procedure. Operational complexity and technical limitations of established 3D imaging methods leave clinical settings in need of a method for the fast acquisition of a three-dimensional body surface representation. For this purpose, we propose an unsupervised and efficient body registration pipeline based on the markerless elastic registration and completion of single-view stereo range images of the body surface with statistical parametric body shape templates. Initial results show a promising representative quality of the models generated through the registration process with submillimetric fitting accuracy and realistic surface morphology, indicating the general feasibility of our approach as an instant body registration method for automated medical and biometric applications.

KW - 3D modeling

KW - automation

KW - body registration

KW - computer vision

KW - medical robotics

KW - range imaging

UR - http://www.scopus.com/inward/record.url?scp=85097313731&partnerID=8YFLogxK

U2 - 10.1515/cdbme-2020-3031

DO - 10.1515/cdbme-2020-3031

M3 - Article

AN - SCOPUS:85097313731

VL - 6.2020

JO - Current directions in biomedical engineering

JF - Current directions in biomedical engineering

SN - 2364-5504

IS - 3

M1 - 20203031

ER -