Multi-modal volume registration by maximization of mutual information

Wells, WA

doi:10.1016/s1361-8415(96)80004-1

Cited by 209 publications

(311 citation statements)

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“…Aljabar et al 15 and van Rikxoort et al 17 showed that with a good ranking criterion, the accuracy of MAS could reach a global optimum after fusing a certain number of selected atlases. Intensity-based similarity measures, such as the mutual information (MI) or normalized mutual information (NMI), [23][24][25] are often used for atlas ranking and selection.…”

Section: A Challenges and Related Workmentioning

confidence: 99%

Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection

et al. 2015

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Section: A Challenges and Related Workmentioning

confidence: 99%

Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection

et al. 2015

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“…Analyses of microarrays generally use basic statistical tests such as the t ‐test, Pearson correlation and analysis of variance, as well as various grouping algorithms (see, for example, Wells et al. , 1996; Van Mechelen et al.…”

Section: Introductionmentioning

confidence: 99%

Deciphering energy‐associated gene networks operating in the response of Arabidopsis plants to stress and nutritional cues

et al. 2012

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SUMMARYPlants need to continuously adjust their transcriptome in response to various stresses that lead to inhibition of photosynthesis and the deprivation of cellular energy. This adjustment is triggered in part by a coordinated re-programming of the energy-associated transcriptome to slow down photosynthesis and activate other energy-promoting gene networks. Therefore, understanding the stress-related transcriptional networks of genes belonging to energy-associated pathways is of major importance for engineering stress tolerance. In a bioinformatics approach developed by our group, termed 'gene coordination', we previously divided genes encoding for enzymes and transcription factors in Arabidopsis thaliana into three clusters, displaying altered coordinated transcriptional behaviors in response to multiple biotic and abiotic stresses (Plant Cell, 23, 2011, 1264. Enrichment analysis indicated further that genes controlling energy-associated metabolism operate as a compound network in response to stress. In the present paper, we describe in detail the network association of genes belonging to six central energy-associated pathways in each of these three clusters described in our previous paper. Our results expose extensive stress-associated intra-and inter-pathway interactions between genes from these pathways, indicating that genes encoding proteins involved in energy-associated metabolism are expressed in a highly coordinated manner. We also provide examples showing that this approach can be further utilized to elucidate candidate genes for stress tolerance and functions of isozymes.

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“…The segmentation, which is accomplished by interpolating a curved cylindrical template from five to six points manually placed along the aortic centerline, also does not depend on the intensity of blood in the aorta. The MI technique is known to be flexible and robust compared to traditional correlation measures (37). If the voxel intensity of blood is negated, as it is with black‐blood MRI, we would not expect our registration algorithm to fail, since unlike correlation cost functions, MI is known to be insensitive to negation of voxel intensity in the volume (37).…”

Section: Discussionmentioning

confidence: 99%

Direct quantitative in vivo comparison of calcified atherosclerotic plaque on vascular MRI and CT by multimodality image registration

Dey

Slomka

Chien

et al. 2006

Magnetic Resonance Imaging

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Purpose: To investigate direct volumetric in vivo correspondence of calcified atherosclerotic plaque lesions in MRI and CT images of the thoracic aorta by multimodality image registration and fusion. Materials and Methods:Twelve CT (11 noncontrast and one contrast) and MRI (TruFISP, contrast T1-weighted volumetric interpolated breath-hold examination (VIBE)) data sets were coregistered by approximate segmentation of the aorta and subsequent automatic coregistration by maximization of mutual information (MI). We quantitatively assessed 22 coregistered calcified plaque lesions on CT and MRI. Results:The three-dimensional registration consistency and accuracy were 1.74 Ϯ 1.3 mm, and 2.42 Ϯ 1.65 mm, respectively. The ratio of CT/MRI calcified plaque volume decreased asymptotically with MRI volume, and correlated with average CT lesion density (r ϭ 0.72) for small lesions (Ͻ25 mm 3 ). The average calcified plaque volume, circumferential extent, and maximal radial width by MRI were significantly smaller compared to CT (35%, 68%, and 53%, respectively; P Ͻ 0.05). Conclusion:Software coregistration allowed precise, direct, and voxel-based comparison of calcified atherosclerotic plaque lesions imaged by MRI and CT. In comparison with coregistered MRI, overestimation of calcified plaque in aortic CT due to "blooming" correlates with the average lesion density for small plaques, and is greater for small plaques. THE RISK OF ATHEROSCLEROTIC plaque disruption and subsequent thrombosis or coronary occlusion makes atherosclerosis a potentially life-threatening disease (1). The presence of atherosclerotic plaque in the thoracic aorta has been shown to correlate with obstructive coronary artery disease (2-4). Computed tomography (CT) and magnetic resonance imaging (MRI) are promising, noninvasive imaging modalities for the detection and assessment of atherosclerotic plaque (5). Noncontrast CT is well established for assessment of calcified plaque, which has been shown to be correlated with the overall plaque burden (6,7). MRI also allows characterization of atherosclerotic plaque composition (5). These two complementary modalities, when assessed together, may provide unique information regarding patient risk assessment and response to therapy (5). However, when both MRI and CT images are available, comparative assessment is typically performed by manually displaying each series at approximately the same location in a side-by-side fashion. To our knowledge, no prior study has performed a direct, volumetric, voxel-by-voxel comparison of plaque lesions by MRI and CT. One of the prerequisites for such a volumetric comparison is the precise and robust coregistration of MRI and CT.In this study our goal was to investigate direct volumetric in vivo correspondence of calcified plaque lesions of the thoracic aorta imaged by MRI and CT. For this purpose we developed and evaluated a semiautomatic method for precise coregistration and fusion of CT and three-dimensional (3D) MRI images of the aorta. We also developed new methods for quantify...

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Multi-modal volume registration by maximization of mutual information

Cited by 209 publications

References 0 publications

Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection

Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection

Deciphering energy‐associated gene networks operating in the response of Arabidopsis plants to stress and nutritional cues

Direct quantitative in vivo comparison of calcified atherosclerotic plaque on vascular MRI and CT by multimodality image registration

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