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Landmark-Based Software for Anatomical Measurements: A Precision Study

Forsberg, Anders; Kullberg, Joel; Agartz, Ingrid; Ahlstrom, Hakan; Johansson, Lars and Henriksson, Karin LU (2009) In Clinical Anatomy 22(4). p.456-462
Abstract
The aim of this study was to develop a software program, called Landmarker, which would aid studies of complex anatomical morphometry by simplifying the manual identification of landmarks in 3D images. We also tested its precision on routine magnetic resonance imaging (MRI) scans. To understand human biological variation, there is a need to identify morphological characteristics from the exterior and the interior of human anatomy. MRI, as opposed to other radiographic methods (mainly based on X-ray techniques), supplies good soft tissue contrast, which allows for more complex assessments than what bony landmarks can provide. Because automation of this assessment is highly demanding, one of the primary goals for the new software was to... (More)
The aim of this study was to develop a software program, called Landmarker, which would aid studies of complex anatomical morphometry by simplifying the manual identification of landmarks in 3D images. We also tested its precision on routine magnetic resonance imaging (MRI) scans. To understand human biological variation, there is a need to identify morphological characteristics from the exterior and the interior of human anatomy. MRI, as opposed to other radiographic methods (mainly based on X-ray techniques), supplies good soft tissue contrast, which allows for more complex assessments than what bony landmarks can provide. Because automation of this assessment is highly demanding, one of the primary goals for the new software was to enable more rapid identification of landmark sets in 3D image data. Re P eat acquisition of head MRIs having a resolution of 0.94 x 0.94 x 1.20 mm(3) were performed on 10 volunteers. Intra- and interoperator, as well as interacquisition variations of manual identification of exterior, craniofacial interior, and brain landmarks were studied. The average distances between landmarks were <1.8 mm, <2.3 mm, and <2.0 mm in the intra- and interoperator, and interacquisition evaluations, respectively. This study presents new software for time efficient identification of complex craniofacial landmarks in 3D MRI. To the best of our knowledge, no evaluation of software for rapid landmark-based analysis of complex anatomies from 3D MR data has yet been presented. This software may also be useful for studies in other anatomical regions and for other types of image data. Clin. Anat. 22:456-462, 2009. (c) 2009 Wiley-Liss, Inc. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
craniofacial, shape analysis, morphometry, 3D MRI
in
Clinical Anatomy
volume
22
issue
4
pages
456 - 462
publisher
John Wiley & Sons
external identifiers
  • wos:000265721800004
  • scopus:66249148429
ISSN
0897-3806
DOI
10.1002/ca.20793
language
English
LU publication?
yes
id
b35cf3cd-530b-4c60-9744-8824d837c9ca (old id 1428025)
date added to LUP
2009-06-25 13:28:19
date last changed
2017-05-28 03:44:22
@article{b35cf3cd-530b-4c60-9744-8824d837c9ca,
  abstract     = {The aim of this study was to develop a software program, called Landmarker, which would aid studies of complex anatomical morphometry by simplifying the manual identification of landmarks in 3D images. We also tested its precision on routine magnetic resonance imaging (MRI) scans. To understand human biological variation, there is a need to identify morphological characteristics from the exterior and the interior of human anatomy. MRI, as opposed to other radiographic methods (mainly based on X-ray techniques), supplies good soft tissue contrast, which allows for more complex assessments than what bony landmarks can provide. Because automation of this assessment is highly demanding, one of the primary goals for the new software was to enable more rapid identification of landmark sets in 3D image data. Re P eat acquisition of head MRIs having a resolution of 0.94 x 0.94 x 1.20 mm(3) were performed on 10 volunteers. Intra- and interoperator, as well as interacquisition variations of manual identification of exterior, craniofacial interior, and brain landmarks were studied. The average distances between landmarks were &lt;1.8 mm, &lt;2.3 mm, and &lt;2.0 mm in the intra- and interoperator, and interacquisition evaluations, respectively. This study presents new software for time efficient identification of complex craniofacial landmarks in 3D MRI. To the best of our knowledge, no evaluation of software for rapid landmark-based analysis of complex anatomies from 3D MR data has yet been presented. This software may also be useful for studies in other anatomical regions and for other types of image data. Clin. Anat. 22:456-462, 2009. (c) 2009 Wiley-Liss, Inc.},
  author       = {Forsberg, Anders and Kullberg, Joel and Agartz, Ingrid and Ahlstrom, Hakan and Johansson, Lars and Henriksson, Karin},
  issn         = {0897-3806},
  keyword      = {craniofacial,shape analysis,morphometry,3D MRI},
  language     = {eng},
  number       = {4},
  pages        = {456--462},
  publisher    = {John Wiley & Sons},
  series       = {Clinical Anatomy},
  title        = {Landmark-Based Software for Anatomical Measurements: A Precision Study},
  url          = {http://dx.doi.org/10.1002/ca.20793},
  volume       = {22},
  year         = {2009},
}