Comparison and Evaluation of Rigid, Affine, and Nonrigid Registration of Breast MR Images

Denton, Erika R. E.; Sonoda, Luke; Rueckert, Daniel; Rankin, Sheila; Hayes, Carmel; Leach, Martin O.; Hill, Derek L. G.; Hawkes, David J.

doi:10.1097/00004728-199909000-00031

Cited by 107 publications

(60 citation statements)

References 14 publications

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“…In practise, however, motion artifacts in the subtracted images can prevent a reliable diagnosis. Our non-rigid registration algorithm [3] has been shown to significantly reduce the effects of movement artifacts in subtracted contrast-enhanced breast MR images [4] and thus should support the detection of enhanced lesions. Non-rigid transformations can generally change not only the shape but also the volume of image features [5], yet the short MR acquisition time makes volume changes during a scan sequence physically implausible.…”

Section: Introductionmentioning

confidence: 99%

Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images

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Chung

et al. 2000

Lecture Notes in Computer Science

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Abstract. In this paper we show first that a non-rigid registration algorithm used to register time-series MR images of the breast, can result in significant volume changes in the region of the enhanced lesion. Since this is physically implausible, given the short duration of the MR time series acquisition, the non-rigid registration algorithm was extended to allow the incorporation of rigid regions. In this way the registration is done in two stages. The enhanced lesions are first detected using the non-rigid registration algorithm in its original form. Secondly, the region of the enhanced lesion is set to be rigid and the new algorithm is applied to integrate this rigid region into the existing registration. By definition, volume and shape will be preserved in this rigid region. Preliminary results of applying this algorithm to 15 datasets are described.

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Section: Introductionmentioning

confidence: 99%

Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images

Tanner

Schnabel

Chung

et al. 2000

Lecture Notes in Computer Science

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“…The resulting images are standard MRA images without image registration. Additionally automated image registration with linear, affine and warp registration was applied to optimally fit the unenhanced image volume to its contrastenhanced counterpart [14,15]. This was done with the freeware automated image registration software package AIR 5.2.5 (Woods RP, AIR 5.2.5, http://bishopw.loni.ucla.…”

Section: Postprocessing With Automated Image Registrationmentioning

confidence: 99%

Contrast-enhanced magnetic resonance angiography in carotid artery disease: does automated image registration improve image quality?

Menke

Larsen

2009

Eur Radiol

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“…Previously, an algorithm has been devised for the non-rigid registration of images [4] and applied to CE MR-mammograms. It was shown that this registration method significantly improved the quality of the pre-and post-contrast image difference [5].…”

Section: Introductionmentioning

confidence: 96%

Validation of Volume-Preserving Non-rigid Registration: Application to Contrast-Enhanced MR-Mammography

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Degenhard

et al. 2002

Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002

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Abstract. In this paper, we present a validation study for volume preserving nonrigid registration of 3D contrast-enhanced magnetic resonance mammograms. This study allows for the first time to assess the effectiveness of a volume preserving constraint to improve registration accuracy in this context. The validation is based on the simulation of physically plausible breast deformations with biomechanical breast models (BBMs) employing finite element methods. We constructed BBMs for four patients with four different deformation scenarios each. These deformations were applied to the post-contrast image to simulate patient motion occurring between pre-and post-contrast image acquisition. The original pre-contrast images were registered to the corresponding BBM-deformed post-contrast images. We assessed the accuracy of two optimisation schemes of a non-rigid registration algorithm. The first solely aims to improve the similarity of the images while the second includes the minimisation of volume changes as another objective. We observed reductions in residual registration error at every resolution when constraining the registration to preserve volume. Within the contrast enhancing lesion, the best results were obtained with a control point spacing of 20mm, resulting in target registration errors below 0.5mm on average. This study forms an important milestone in making the non-rigid registration framework applicable for clinical routine use.

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Comparison and Evaluation of Rigid, Affine, and Nonrigid Registration of Breast MR Images

Abstract: Nonrigid registration significantly reduces the effects of movement artifact in subtracted contrast-enhanced breast MRI. This may enable better visualization of small tumors and those within a glandular breast.

Cited by 107 publications

References 14 publications

Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images

Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images

Contrast-enhanced magnetic resonance angiography in carotid artery disease: does automated image registration improve image quality?

Validation of Volume-Preserving Non-rigid Registration: Application to Contrast-Enhanced MR-Mammography

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