Quantitative analysis of hypertrophic myocardium using diffusion tensor magnetic resonance imaging

Tran, Nghi H.; Giannakidis, Archontis; Gullberg, Grant T.; Seo, Youngho

doi:10.1117/1.jmi.3.4.046001

Cited by 5 publications

(1 citation statement)

References 50 publications

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“…Imaging (DTT-MRI): Our previous work focused on developing diffusion tensor tomography magnetic resonance imaging (DTT-MRI) for the heart; one the most difficult organs to perform MR diffusion tensor imaging (MR-DTI) due to motion and the length of time required to obtain adequate images. For ex vivo samples we have acquired images for up to 12 hours on 3T small animal systems [76].…”

Section: ) Diffusion Tensor Tomography Magnetic Resonancementioning

confidence: 99%

An Analytical Algorithm for Tensor Tomography From Projections Acquired About Three Axes

Tao

Rohmer

Gullberg

et al. 2022

IEEE Trans. Med. Imaging

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Tensor fields are useful for modeling the structure of biological tissues. The challenge to measure tensor fields involves acquiring sufficient data of scalar measurements that are physically achievable and reconstructing tensors from as few projections as possible for efficient applications in medical imaging. In this paper, we present a filtered back-projection algorithm for the reconstruction of a symmetric second-rank tensor field from directional X-ray projections about three axes. The tensor field is decomposed into a solenoidal and irrotational component, each of three unknowns. Using the Fourier projection theorem, a filtered back-projection algorithm is derived to reconstruct the solenoidal and irrotational components from projections acquired around three axes. A simple illustrative phantom consisting of two spherical shells and a 3D digital cardiac diffusion image obtained from diffusion tensor MRI of an excised human heart are used to simulate directional X-ray projections. The simulations validate the mathematical derivations and demonstrate reasonable noise properties of the algorithm. The decomposition of the tensor field into solenoidal and irrotational components provides insight into the development of algorithms for reconstructing tensor fields with sufficient samples in terms of the type of directional projections and the necessary orbits for the acquisition of the projections of the tensor field. Index Terms-Filtered back-projection algorithm, solenoidal and irrotational components, tensor tomography, directional X-ray projections. I. INTRODUCTION T ENSOR tomography has found important applications in the physical sciences [1], [2], mathematics [3], and medicine [4]. Here we consider the tensor tomography problem as Manuscript

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Section: ) Diffusion Tensor Tomography Magnetic Resonancementioning

confidence: 99%

An Analytical Algorithm for Tensor Tomography From Projections Acquired About Three Axes

Tao

Rohmer

Gullberg

et al. 2022

IEEE Trans. Med. Imaging

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Application of postmortem imaging modalities in cases of sudden death due to cardiovascular diseases–current achievements and limitations from a pathology perspective

et al. 2022

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Postmortem imaging (PMI) is increasingly used in postmortem practice and is considered a potential alternative to a conventional autopsy, particularly in case of sudden cardiac deaths (SCD). In 2017, the Association for European Cardiovascular Pathology (AECVP) published guidelines on how to perform an autopsy in such cases, which is still considered the gold standard, but the diagnostic value of PMI herein was not analyzed in detail. At present, significant progress has been made in the PMI diagnosis of acute ischemic heart disease, the most important cause of SCD, while the introduction of postmortem CT angiography (PMCTA) has improved the visualization of several parameters of coronary artery pathology that can support a diagnosis of SCD. Postmortem magnetic resonance (PMMR) allows the detection of acute myocardial injury-related edema. However, PMI has limitations when compared to clinical imaging, which severely impacts the postmortem diagnosis of myocardial injuries (ischemic versus non-ischemic), the age-dating of coronary occlusion (acute versus old), other potentially SCD-related cardiac lesions (e.g., the distinctive morphologies of cardiomyopathies), aortic diseases underlying dissection or rupture, or pulmonary embolism. In these instances, PMI cannot replace a histopathological examination for a final diagnosis. Emerging minimally invasive techniques at PMI such as image-guided biopsies of the myocardium or the aorta, provide promising results that warrant further investigations. The rapid developments in the field of postmortem imaging imply that the diagnosis of sudden death due to cardiovascular diseases will soon require detailed knowledge of both postmortem radiology and of pathology.

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Advances in MRI Applications to Diagnose and Manage Cardiomyopathies

Vajapey

Eck

Tang

et al. 2019

Curr Treat Options Cardio Med

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Quantitative analysis of hypertrophic myocardium using diffusion tensor magnetic resonance imaging

Cited by 5 publications

References 50 publications

An Analytical Algorithm for Tensor Tomography From Projections Acquired About Three Axes

An Analytical Algorithm for Tensor Tomography From Projections Acquired About Three Axes

Application of postmortem imaging modalities in cases of sudden death due to cardiovascular diseases–current achievements and limitations from a pathology perspective

Advances in MRI Applications to Diagnose and Manage Cardiomyopathies

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