Computer assisted reconstruction of complex proximal humerus fractures for preoperative planning

[Display omitted] ► Semi-automatic fracture reconstruction in two consecutive registration steps. ► Efficient contralateral matching without relying on initial fragment positions. ► Robust pairwise registration of fracture surfaces and global multipiece alignment. ► The complex planning task can be...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Medical image analysis Jg. 16; H. 3; S. 704 - 720
Hauptverfasser: Fürnstahl, Philipp, Székely, Gábor, Gerber, Christian, Hodler, Jürg, Snedeker, Jess Gerrit, Harders, Matthias
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Netherlands Elsevier B.V 01.04.2012
Schlagworte:
Algorithms
Artificial Intelligence
Contralateral
Fracture reduction
Fracture surfaces
Humans
Imaging, Three-Dimensional - methods
Pattern Recognition, Automated - methods
Preoperative Care - methods
Proximal humerus
Radiographic Image Enhancement - methods
Radiographic Image Interpretation, Computer-Assisted - methods
Reproducibility of Results
Sensitivity and Specificity
Shoulder Fractures - diagnostic imaging
Shoulder Fractures - surgery
Tomography, X-Ray Computed - methods
Fracture reduction
Proximal humerus
Contralateral
Fracture surfaces
ISSN:1361-8415, 1361-8423, 1361-8423
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:[Display omitted] ► Semi-automatic fracture reconstruction in two consecutive registration steps. ► Efficient contralateral matching without relying on initial fragment positions. ► Robust pairwise registration of fracture surfaces and global multipiece alignment. ► The complex planning task can be performed in a reasonable time on the GPU. Operative treatment of displaced fractures of the proximal humerus is among the most difficult problems in orthopedic shoulder surgery. An accurate preoperative assessment of fragment displacement is crucial for a successful joint restoration. We present a computer assisted approach to precisely quantify these displacements. The bone is virtually reconstructed by multi-fragment alignment. In case of largely displaced pieces, a reconstruction template based on the contralateral humerus is incorporated in the algorithm to determine the optimal assembly. Cadaver experiments were carried out to evaluate our approach. All cases could be successfully reconstructed with little user interaction, and only requiring a few minutes of processing time. On average, the reassembled bone geometries resulted in a translational displacement error of 1.3±0.4mm and a rotational error of 3.4±2.2°, respectively.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1361-8415
1361-8423
1361-8423
DOI:10.1016/j.media.2010.07.012