2003
DOI: 10.1007/978-3-540-39899-8_3
|View full text |Cite
|
Sign up to set email alerts
|

Atlas-Based Recognition of Anatomical Structures and Landmarks to Support the Virtual Three-Dimensional Planning of Hip Operations

Abstract: Abstract. This paper describes methods for the atlas-based segmentation of bone structures of the hip, the automatic detection of anatomical point landmarks and the computation of orthopedic parameters. An anatomical atlas was designed to replace interactive, time-consuming pre-processing steps needed for the virtual planning of hip operations. Furthermore, a non-linear gray value registration of CT data is used to recognize different bone structures of the hip. A surface based registration algorithm enables t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
0

Year Published

2006
2006
2019
2019

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 14 publications
(12 citation statements)
references
References 10 publications
0
12
0
Order By: Relevance
“…Also, it may lack in reliability and repeatability and is prone to errors. For automatic landmark positioning, Jacinto et al [23] and Ehrhardt et al [24] proposed an algorithm for automatic positioning of landmarks based on a multi-atlas method on an anatomical structure. Subburaj et al [17] identified the landmarks on a knee-bone model by detecting local landmark regions based on different surface curvature indicators.…”
Section: Localization Anatomical Landmarksmentioning
confidence: 99%
“…Also, it may lack in reliability and repeatability and is prone to errors. For automatic landmark positioning, Jacinto et al [23] and Ehrhardt et al [24] proposed an algorithm for automatic positioning of landmarks based on a multi-atlas method on an anatomical structure. Subburaj et al [17] identified the landmarks on a knee-bone model by detecting local landmark regions based on different surface curvature indicators.…”
Section: Localization Anatomical Landmarksmentioning
confidence: 99%
“…In general, the quality of the measurement process determines the consistency of the cup size selection, the accuracy of the cup alignment and the reliability of the bone machining procedure during surgery. 9,19,29 In particular, appropriate anatomic concepts for surgery to treat femoroacetabular impingement require a precise appreciation of the native acetabular anatomy. 22,35 In order to measure pre-operatively the acetabular shape and morphologic parameters, different clinical methodologies exist, relying on X-rays, CT, and MRI scans.…”
Section: Discussionmentioning
confidence: 99%
“…Using prosthesis virtual models, SPSS systems yield the optimal implant size and positioning according to the computed CL, the visualization of the virtual bone resections and the overall simulation of the intervention prior to surgery. 7,9,12,17,22,23,26,27,29,32,33,36 However, the virtual palpation of CL and the manual arrangement of the virtual templates in the SPSS, were found to be highly dependent upon the examiners' expertise, frequently time consuming and affected by considerable inter-observer variability. 31,33,34,39 Different computational approaches to automatic CL detection and bone shape analysis have been recently proposed.…”
Section: Introductionmentioning
confidence: 98%
“…The pelvic coordinate system is determined by finding APP, the left and right ASIS, and the pubic joint in MDCT images according to literatures [9] [10]. To suppress variability due to pelvic pose change, the pelvic pose is calibrated by using silhouette images.…”
Section: Overviewmentioning
confidence: 99%