Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III |
| Herausgeber/-innen | Pietro Ferraro, Simonetta Grilli, Monika Ritsch-Marte, Christoph K. Hitzenberger |
| Herausgeber (Verlag) | SPIE |
| Seitenumfang | 7 |
| ISBN (elektronisch) | 9781510611115 |
| Publikationsstatus | Veröffentlicht - 26 Juni 2017 |
| Veranstaltung | Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III 2017 - Munich, Deutschland Dauer: 26 Juni 2017 → 28 Juni 2017 |
Publikationsreihe
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Band | 10333 |
| ISSN (Print) | 0277-786X |
| ISSN (elektronisch) | 1996-756X |
Abstract
A critical factor of endoprostheses is the quality of the tribological pairing. The objective of this research project is to manufacture stochastically porous aluminum oxide surface coatings with high wear resistance and an active friction minimization. There are many experimental and computational techniques from mercury porosimetry to imaging methods for studying porous materials, however, the characterization of disordered pore networks is still a great challenge. To meet this challenge it is striven to gain a three dimensional high resolution reconstruction of the surface. In this work, the reconstruction is approached by repeatedly milling down the surface by a fixed decrement while measuring each layer using a confocal laser scanning microscope (CLSM). The so acquired depth data of the successive layers is then registered pairwise. Within this work a direct registration approach is deployed and implemented in two steps, a coarse and a fine alignment. The coarse alignment of the depth data is limited to a translational shift which occurs in horizontal direction due to placing the sample in turns under the CLSM and the milling machine and in vertical direction due to the milling process itself. The shift is determined by an approach utilizing 3D phase correlation. The fine alignment is implemented by the Trimmed Iterative Closest Point algorithm, matching the most likely common pixels roughly specified by an estimated overlap rate. With the presented two-step approach a proper 3D registration of the successive depth data of the layer is obtained.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Informatik (insg.)
- Angewandte Informatik
- Mathematik (insg.)
- Angewandte Mathematik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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- BibTex
- RIS
Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III. Hrsg. / Pietro Ferraro; Simonetta Grilli; Monika Ritsch-Marte; Christoph K. Hitzenberger. SPIE, 2017. 1033310 (Proceedings of SPIE - The International Society for Optical Engineering; Band 10333).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - 3D registration of depth data of porous surface coatings based on 3D phase correlation and the trimmed ICP algorithm
AU - Loftfield, Nina
AU - Kästner, Markus
AU - Reithmeier, Eduard
N1 - Funding information: We gratefully acknowledge funding of this work by the ”Dr. Jürgen und Irmgard Ulderup Stiftung”.
PY - 2017/6/26
Y1 - 2017/6/26
N2 - A critical factor of endoprostheses is the quality of the tribological pairing. The objective of this research project is to manufacture stochastically porous aluminum oxide surface coatings with high wear resistance and an active friction minimization. There are many experimental and computational techniques from mercury porosimetry to imaging methods for studying porous materials, however, the characterization of disordered pore networks is still a great challenge. To meet this challenge it is striven to gain a three dimensional high resolution reconstruction of the surface. In this work, the reconstruction is approached by repeatedly milling down the surface by a fixed decrement while measuring each layer using a confocal laser scanning microscope (CLSM). The so acquired depth data of the successive layers is then registered pairwise. Within this work a direct registration approach is deployed and implemented in two steps, a coarse and a fine alignment. The coarse alignment of the depth data is limited to a translational shift which occurs in horizontal direction due to placing the sample in turns under the CLSM and the milling machine and in vertical direction due to the milling process itself. The shift is determined by an approach utilizing 3D phase correlation. The fine alignment is implemented by the Trimmed Iterative Closest Point algorithm, matching the most likely common pixels roughly specified by an estimated overlap rate. With the presented two-step approach a proper 3D registration of the successive depth data of the layer is obtained.
AB - A critical factor of endoprostheses is the quality of the tribological pairing. The objective of this research project is to manufacture stochastically porous aluminum oxide surface coatings with high wear resistance and an active friction minimization. There are many experimental and computational techniques from mercury porosimetry to imaging methods for studying porous materials, however, the characterization of disordered pore networks is still a great challenge. To meet this challenge it is striven to gain a three dimensional high resolution reconstruction of the surface. In this work, the reconstruction is approached by repeatedly milling down the surface by a fixed decrement while measuring each layer using a confocal laser scanning microscope (CLSM). The so acquired depth data of the successive layers is then registered pairwise. Within this work a direct registration approach is deployed and implemented in two steps, a coarse and a fine alignment. The coarse alignment of the depth data is limited to a translational shift which occurs in horizontal direction due to placing the sample in turns under the CLSM and the milling machine and in vertical direction due to the milling process itself. The shift is determined by an approach utilizing 3D phase correlation. The fine alignment is implemented by the Trimmed Iterative Closest Point algorithm, matching the most likely common pixels roughly specified by an estimated overlap rate. With the presented two-step approach a proper 3D registration of the successive depth data of the layer is obtained.
KW - 3D phase correlation
KW - 3D registration
KW - porous surface
KW - TrICP
UR - http://www.scopus.com/inward/record.url?scp=85031708868&partnerID=8YFLogxK
U2 - 10.1117/12.2269781
DO - 10.1117/12.2269781
M3 - Conference contribution
AN - SCOPUS:85031708868
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III
A2 - Ferraro, Pietro
A2 - Grilli, Simonetta
A2 - Ritsch-Marte, Monika
A2 - Hitzenberger, Christoph K.
PB - SPIE
T2 - Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III 2017
Y2 - 26 June 2017 through 28 June 2017
ER -