2011
DOI: 10.1007/s11548-011-0620-2
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Comparing two approaches to rigid registration of three-dimensional ultrasound and magnetic resonance images for neurosurgery

Abstract: The results show that the pseudo-US rigid registration technique robustly improves the MRI-ultrasound alignment when compared with the initial alignment, even when applied to highly distorted brains and a large range of tumor sizes and appearances.

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Cited by 41 publications
(32 citation statements)
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“…9,10 Ultrasound and MR image coregistration was first reported using separate acquisitions at different times. 9,28,29 Sequential imaging increases the total duration of acquisition and does not enable in situ image fusion, making this approach less desirable in clinical practice. Registering offline US and MR images 30Y32 is, in general, difficult because each image contains features that are not necessarily observable in the other modality.…”
mentioning
confidence: 99%
“…9,10 Ultrasound and MR image coregistration was first reported using separate acquisitions at different times. 9,28,29 Sequential imaging increases the total duration of acquisition and does not enable in situ image fusion, making this approach less desirable in clinical practice. Registering offline US and MR images 30Y32 is, in general, difficult because each image contains features that are not necessarily observable in the other modality.…”
mentioning
confidence: 99%
“…To estimate T 1←3 using the compositional approach, we first use RaPTOR to estimate T 1←2 . Using the landmarks provided in the BITE database [19], we quantify the registration accuracy (see Table 1). The initial mean mTRE is 4.1 mm, which is reduced to 2.4 mm after the registration.…”
Section: Resultsmentioning
confidence: 99%
“…A disadvantage of this work is that a polynomial functional relationship is assumed between MR and US intensities, and therefore, an interesting area of future work is to extend this method to the estimation of nonparametric functional relationship. The work of Arbel et al [29], Mercier et al [19], and Kuklisova-Murgasova et al [31] transforms the multimodal registration problem to a unimodal one, and hence enables the use of well-established and computationally efficient uni-modal registration methods. A disadvantage is that the presence of pathology can render US simulation from the MR volume challenging.…”
Section: Discussionmentioning
confidence: 99%
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