MethodologyLandmark-based registration and measurement of magnetic resonance images: A reliability study
References (26)
- et al.
Evaluating and validating two methods for estimating brain structure volumes: Tesselation and simple pixel counting
Neurolmage
(1994) - et al.
Effects of errors in a multicenter medical study: preventing misinterpreted data
J Psychiatr Res
(1994) - et al.
Voxel processing techniques for the antemortem study of neuroanatomy and neuropathology using magnetic resonance imaging
J Neuropsychiatry Clin Neurosci
(1993) - et al.
Assessment of data quality: errors of measurement and errors of process
Biometr J
(1993) Size and shape spaces for landmark data in two dimensions
Stat Sci
(1986)Morphometric Tools for Landmark Data
(1991)Statistical Power Analysis for the Behavioral Sciences
(1988)- et al.
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
J Comput Assist Tomogr
(1994) - et al.
Standards for skull-tophoto superimpostion
Design and Analysis of Reliability Studies
(1989)
The Design and Analysis of Clinical Experiments
(1986)
Anatomical and artistic guidelines for forensic facial reconstruction
Image warping and Bayesian reconstruction with grey-level templates
Cited by (22)
A new approach to symmetric registration of longitudinal structural MRI of the human brain
2022, Journal of Neuroscience MethodsCitation Excerpt :The third step of our PIL transformation algorithm (Fig. 2) uses a similar idea albeit with several additional innovations. Arndt et al. (1996) relied on manually locating landmarks on the MSP which is time-consuming, requires neuroanatomical knowledge, and can be adversely affected by poor inter-rater reliability. Our method overcomes these issues by detecting the additional MSP landmarks fully automatically.
Nonlinear Registration Via Displacement Fields
2015, Brain Mapping: An Encyclopedic ReferenceSoftware-guided standardization of manual landmark data in medical images
2011, Zeitschrift fur Medizinische PhysikOn-line automatic slice positioning for brain MR imaging
2005, NeuroImage
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