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18
Evaluation of brain mri alignment with the robust hausdorff distance measures
- in Advances in Visual Computing
, 2008
"... Abstract. We present a novel automated method for assessment of image alignment, applied to non-rigid registration of brain Magnetic Resonance Imaging data (MRI) for image-guided neurosurgery. We propose a number of robust modifications to the Hausdorff distance (HD) metric, and apply it to the edg ..."
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Cited by 3 (1 self)
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Abstract. We present a novel automated method for assessment of image alignment, applied to non-rigid registration of brain Magnetic Resonance Imaging data (MRI) for image-guided neurosurgery. We propose a number of robust modifications to the Hausdorff distance (HD) metric, and apply
N.: The use of robust local Hausdorff distances in accuracy assessment for image alignment of brain MRI
- Insight Journal (January-June
"... We present and implement an error estimation protocol in the Insight Toolkit (ITK) for assessing the accuracy of image alignment. We base this error estimation on a robust version of the Hausdorff Distance (HD) metric applied to the recovered edges of the images. The robust modifications we introduc ..."
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Cited by 1 (1 self)
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We present and implement an error estimation protocol in the Insight Toolkit (ITK) for assessing the accuracy of image alignment. We base this error estimation on a robust version of the Hausdorff Distance (HD) metric applied to the recovered edges of the images. The robust modifications we
Abstract Robust Multi-modal Image Registration Based on Prior Joint Intensity Distributions and Minimization of Kullback-Leibler Distance
"... Robust registration is essential for image-guided therapy as well as structural and functional analysis. In this work, we present a new method that can give superior robustness in multi-modal image registration. This method is based on the a priori knowledge of the joint intensity distributions betw ..."
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between image pairs at different image resolutions and the Kullback-Leibler distance (KLD) similarity measure. Expected joint distributions are estimated from pre-aligned training images. Two image volumes are registered when the value of KLD is minimized. Two thousand randomized registration experiments
Complex data analysis in high-resolution SSFP fMRI. Magn Reson Med 2007;57:905–917
"... In transition-band steady-state free precession (SSFP) functional MRI (fMRI), functional contrast originates from a bulk frequency shift induced by a deoxygenated hemoglobin concentration change in the activated brain regions. This frequency shift causes a magnitude and/or phase-signal change depen ..."
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Cited by 2 (0 self)
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In transition-band steady-state free precession (SSFP) functional MRI (fMRI), functional contrast originates from a bulk frequency shift induced by a deoxygenated hemoglobin concentration change in the activated brain regions. This frequency shift causes a magnitude and/or phase-signal change
Unsupervised Segmentation of Head Tissues from Multi-modal MR Images for EEG Source Localization
"... Abstract In this paper, we present and evaluate an automatic unsupervised segmentation method, hierarchical segmenta-tion approach (HSA)–Bayesian-based adaptive mean shift (BAMS), for use in the construction of a patient-specific head conductivity model for electroencephalography (EEG) source locali ..."
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realizations of typical noise with a 20 % bias field level. The Dice index and Hausdorff distance were used to measure the segmentation accuracy. The indirect evaluation was performed relative to the reference method BET-FAST using synthetic two-dimensional (2D) multimodal magnetic resonance (MR) data with 3
Active Mask Framework for Segmentation of Fluorescence Microscope Images
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of knowledge and a book in Her lotus hands. Dedicated to the Lotus Feet of the revered Sadguru. This thesis presents a new active mask (AM) framework and an algorithm for segmenta-tion of digital images, particularly those of punctate patterns from fluorescence microscopy. Fluorescence microscopy has greatly facilitated the task of understanding complex sys-tems at cellular and molecular levels in recent years. Segmentation, an important yet dif-ficult problem, is often the first processing step following acquisition. Our team previously demonstrated that a stochastic active contour based algorithm together with the concept of
3esis Supervisor Accepted by
, 2005
"... in partial ful2llment of the requirements for the degree of ..."
Guaranteeing Communication Quality in Real World WSN Deployments
"... April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by: ..."
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April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by:
Results 1 - 10
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18