+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

SharpMean: groupwise registration guided by sharp mean image and tree-based registration

SharpMean: groupwise registration guided by sharp mean image and tree-based registration

Neuroimage 56(4): 1968-1981

Groupwise registration has become more and more popular due to its attractiveness for unbiased analysis of population data. One of the most popular approaches for groupwise registration is to iteratively calculate the group mean image and then register all subject images towards the latest estimated group mean image. However, its performance might be undermined by the fuzzy mean image estimated in the very beginning of groupwise registration procedure, because all subject images are far from being well-aligned at that moment. In this paper, we first point out the significance of always keeping the group mean image sharp and clear throughout the entire groupwise registration procedure, which is intuitively important but has not been explored in the literature yet. To achieve this, we resort to developing the robust mean-image estimator by the adaptive weighting strategy, where the weights are adaptive across not only the individual subject images but also all spatial locations in the image domain. On the other hand, we notice that some subjects might have large anatomical variations from the group mean image, which challenges most of the state-of-the-art registration algorithms. To ensure good registration results in each iteration, we explore the manifold of subject images and build a minimal spanning tree (MST) with the group mean image as the root of the MST. Therefore, each subject image is only registered to its parent node often with similar shapes, and its overall transformation to the group mean image space is obtained by concatenating all deformations along the paths connecting itself to the root of the MST (the group mean image). As a result, all the subjects will be well aligned to the group mean image adaptively. Our method has been evaluated in both real and simulated datasets. In all experiments, our method outperforms the conventional algorithm which generally produces a fuzzy group mean image throughout the entire groupwise registration.

Please choose payment method:

(PDF emailed within 0-6 h: $19.90)

Accession: 055753341

Download citation: RISBibTeXText

PMID: 21440646

DOI: 10.1016/j.neuroimage.2011.03.050

Related references

Groupwise Image Registration Guided by a Dynamic Digraph of Images. Neuroinformatics 14(2): 131-145, 2016

PCA-based groupwise image registration for quantitative MRI. Medical Image Analysis 29: 65-78, 2016

Groupwise Registration from Exemplar to Group Mean: Extending Hammer to Groupwise Registration. Proceedings. IEEE International Symposium on Biomedical Imaging 2010(14-17 April 2010): 396-399, 2011

A New Image Similarity Metric for Improving Deformation Consistency in Graph Based Groupwise Image Registration. IEEE Transactions on Bio-Medical Engineering 2018, 2018

Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy. International Journal of Computer Assisted Radiology and Surgery 2019, 2019

Groupwise registration with sharp mean. Medical Image Computing and Computer-Assisted Intervention 13(Pt 2): 570-577, 2010

Groupwise registration based on hierarchical image clustering and atlas synthesis. Human Brain Mapping 31(8): 1128-1140, 2010

A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration. Sensors 19(5), 2019

Accuracy evaluation of shape-based registration for image-guided hip surgery Effect of quality of preoperative CT model and intraoperative data on registration accuracy. Lemke, H U , Vannier, M W , Inamura, K , Farman, A G International Congress Series; CAR '98: Computer assisted radiology and surgery 911, 1998

Robust motion correction for myocardial T 1 and extracellular volume mapping by principle component analysis-based groupwise image registration. Journal of Magnetic Resonance Imaging 47(5): 1397-1405, 2017

Attribute vector guided groupwise registration. Medical Image Computing and Computer-Assisted Intervention 12(Pt 1): 656-663, 2010

Malleable Registration Mask: Application of a Novel Registration Method in Image Guided Sinus Surgery. American Journal of Rhinology 15(4): 219-224, 2001

Malleable registration mask: application of a novel registration method in image guided sinus surgery. American Journal of Rhinology 15(4): 219-224, 2001

Biomechanical model as a registration tool for image-guided neurosurgery: evaluation against BSpline registration. Annals of Biomedical Engineering 41(11): 2409-2425, 2014

Groupwise multi-channel image registration. IEEE Journal of Biomedical and Health Informatics 2018, 2018