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Literature DB >> 8628891

Automatic motion correction for breast MR imaging.

C S Zuo¹, A Jiang, B L Buff, T G Mahon, T Z Wong.

Abstract

In 29 gadolinium-enhanced breast magnetic resonance (MR) examinations, breast motion prevented accurate and efficient image processing. To compensate for global rotations and translations, an automatic motion correction method with a ratio-variance minimization algorithm was used to align images at multiple time points through an iterative process. This method reduced breast motion and improved the accuracy and efficiency of lesion detection.

Entities: Chemical Disease

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Year: 1996 PMID： 8628891 DOI： 10.1148/radiology.198.3.8628891

Source DB: PubMed Journal: Radiology ISSN： 0033-8419 Impact factor: 11.105

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Cited

9 in total

1. DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting.

Authors: Yangming Ou; Aristeidis Sotiras; Nikos Paragios; Christos Davatzikos
Journal: Med Image Anal Date: 2010-07-17 Impact factor: 8.545

2. Cluster analysis of signal-intensity time course in dynamic breast MRI: does unsupervised vector quantization help to evaluate small mammographic lesions?

Authors: Gerda Leinsinger; Thomas Schlossbauer; Michael Scherr; Oliver Lange; Maximilian Reiser; Axel Wismüller
Journal: Eur Radiol Date: 2006-01-18 Impact factor: 5.315

Automatic motion correction for breast MR imaging.

1. DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting.

2. Cluster analysis of signal-intensity time course in dynamic breast MRI: does unsupervised vector quantization help to evaluate small mammographic lesions?

3. Rigid-body motion correction of the liver in image reconstruction for golden-angle stack-of-stars DCE MRI.

4. Automated patient motion detection and correction in dynamic renal scintigraphy.

5. Abdominal DCE-MRI reconstruction with deformable motion correction for liver perfusion quantification.

Review 6. Breast image registration techniques: a survey.

7. Development and validation of an algorithm for registration of serial 3D MR breast data sets.

8. An Overdetermined System of Transform Equations in Support of Robust DCE-MRI Registration With Outlier Rejection.

9. Comparison of Cartesian and radial acquisition on short-tau inversion recovery (STIR) sequences in breast MRI.