Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum

Pinheiro, Gustavo Retuci; Soares, Guilherme Saraiva; Costa, Antonio Carlos da; Lotufo, Roberto de Alencar; Rittner, Letícia

doi:10.1109/embc.2016.7590900

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…structures of the tissue (cell membrane, myelin sheath, etc.) impede the free movement of water molecules (7), the diffusion coefficient is much lower than that in free water. Diffusion tensor imaging (DTI) is a non-invasive imaging method developed on the basis of DWI for the study of white matter fiber bundle injury (8).…”

Section: Introductionmentioning

confidence: 96%

Application of DTI and fMRI in moyamoya disease

Hao

Liu

et al. 2022

Front. Neurol.

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Moyamoya disease (MMD) is a chronic and progressive cerebrovascular stenosis or occlusive disease that occurs near Willis blood vessels. Diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) are used to detect the microstructure of white matter and the function of gray matter, respectively. The damage of these structures will lead to the change of cognitive level in patients with moyamoya disease. In this paper, the principles of DTI and fMRI, their applications and challenges in moyamoya disease are reviewed.

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Section: Introductionmentioning

confidence: 96%

Application of DTI and fMRI in moyamoya disease

Hao

Liu

et al. 2022

Front. Neurol.

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“…PWI has shown promise in detecting subtle changes in cerebral blood flow, aiding in the detection of early-stage cerebrovascular diseases ( 18 , 19 ). Another innovative approach is the use of DTI, which quantifies the diffusion of water molecules in the brain ( 20 , 21 ). DTI has proved valuable in evaluating white matter damage associated with ischemic strokes and providing insights into microstructural changes that may contribute to cognitive impairment.…”

Section: Introductionmentioning

confidence: 99%

The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview

Liu,

Yao,

Zhu

et al. 2024

Front. Med.

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Cerebrovascular diseases, including ischemic strokes, hemorrhagic strokes, and vascular malformations, are major causes of morbidity and mortality worldwide. The advancements in neuroimaging techniques have revolutionized the field of cerebrovascular disease diagnosis and assessment. This comprehensive review aims to provide a detailed analysis of the novel imaging methods used in the diagnosis and assessment of cerebrovascular diseases. We discuss the applications of various imaging modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and angiography, highlighting their strengths and limitations. Furthermore, we delve into the emerging imaging techniques, including perfusion imaging, diffusion tensor imaging (DTI), and molecular imaging, exploring their potential contributions to the field. Understanding these novel imaging methods is necessary for accurate diagnosis, effective treatment planning, and monitoring the progression of cerebrovascular diseases.

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“…• "Divergence Map from Diffusion Tensor Imaging: Concepts and Application to Corpus Callosum" [38]: in this work, we explore the application of the divergent operator to the vector field defined by the first eigenvectors from DTI.…”

Section: Publicationsmentioning

confidence: 99%

Framework for the analysis of the corpus callosum microstructure along its extension

Costa¹

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The corpus callosum is of great interest for the medical and research community, and its characteristics have been associated with many psychological disorders and brain diseases. Localized analysis of its features is a usual procedure, particularly for the diagnosis of multiple sclerosis and other inflammatory diseases. In this work, we propose a framework for extracting microstructure features along the corpus callosum extent into a signature function, allowing global and localized analyses to be performed in the 1-D domain of the signature, instead of the 3-D domain of the original image. Our solution is a succession of several specialized methods, which were designed to solve specific parts of the signature generation pipeline, including defining a plane of local symmetry for the corpus callosum internal fibers, perform the corpus callosum segmentation, trace the structure median axis, and extract the features along the median axis. A dataset with images from 80 distinct acquisitions from healthy subjects was used to evaluate both, the fiber's symmetry plane, and the generated signatures. Results show that the plane predicted by our method is significantly distinct from the planes predicted by traditional mid-sagittal plane estimation methods, with a larger difference on the inclination relative to the axial plane, of about 2 degrees on average. The signatures present a similar pattern in most cases but retain individual characteristics. The signatures generated by our proposed framework provide an unprecedented way to perform the analysis of the corpus callosum microstructure features, which is inherently localized, and independent from the structure morphology. Our solution open new possibilities for future related research and development in the field.

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Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum

Cited by 5 publications

References 9 publications

Application of DTI and fMRI in moyamoya disease

Application of DTI and fMRI in moyamoya disease

The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview

Framework for the analysis of the corpus callosum microstructure along its extension

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