Novel methods for parameter-based analysis of myocardial tissue in MR images

Hennemuth, Anja; Behrens, S.; Kuehnel, C.; Oeltze, Steffen; Konrad, Olaf; Peitgen, Heinz‐Otto

doi:10.1117/12.710386

Cited by 10 publications

(3 citation statements)

References 22 publications

(19 reference statements)

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“…Applications include image guided radiofrequency ablation planning, 19 lung parenchyma analysis, 20 DCE-MRI analysis of breast carcinoma, and software assistants for cardiovascular diagnosis. 21 Furthermore, software assistants have been proposed for clinical neuroimaging, including neurosurgical planning and software support of diagnosis and therapy monitoring of neurological disorders. Both method and workflow-oriented tools have been developed.…”

Section: Software Assistants Based On the Frameworkmentioning

confidence: 99%

Rapid prototyping of clinical software assistants

Rexilius

Peitgen

2008

SPIE Proceedings

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Computer assistance in image-based diagnosis and therapy are continuously growing fields that have gained importance in several medical disciplines. Today, various free and commercial tools are available. However, only few are routinely applied in clinical practice. Especially tools that provide a flexible support of the whole design process from development and evaluation to the actual deployment in a clinical environment are missing.In this work, we introduce a categorization of the design process into different types and fields of application. To this end, we propose a novel framework that allows the development of software assistants that can be integrated into the design process of new algorithms and systems. We focus on the specific features of software prototypes that are valuable for engineers and clinicians, rather than on product development. An important aspect in this work is the categorization of the software design process into different components. Furthermore, we examine the interaction between these categories based on a new knowledge flow model. Finally, an encapsulation of these tasks within an application framework is proposed. We discuss general requirements and present a layered architecture. Several components for data-and workflow-management provide a generic functionality that can be customized on the developer and the user level. A flexible handling of is offered through the use of a visual programming and rapid prototyping platform. Currently, the framework is used in 15 software prototypes and as a basis of commercial products. More than 90 clinical partners all over the world work with these tools.

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Section: Software Assistants Based On the Frameworkmentioning

confidence: 99%

Rapid prototyping of clinical software assistants

Rexilius

Peitgen

2008

SPIE Proceedings

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“…A combination of rigid and elastic registrations employing mutual information as the similarity measure works reasonably well for most data sets [62]. For parameter computation, the user examines the motion-corrected data set and selects an ROI in healthy myocardial tissue.…”

Section: Case Study: Myocardial Perfusionmentioning

confidence: 99%

Survey of the Visual Exploration and Analysis of Perfusion Data

Preim

Oeltze

Mlejnek

et al. 2009

IEEE Trans. Visual. Comput. Graphics

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Abstract-Dynamic contrast-enhanced image data (perfusion data) are used to characterize regional tissue perfusion. Perfusion data consist of a sequence of images, acquired after a contrast agent bolus is applied. Perfusion data are used for diagnostic purposes in oncology, ischemic stroke assessment, or myocardial ischemia. The diagnostic evaluation of perfusion data is challenging, since the data are complex and exhibit various artifacts, e.g., motion artifacts. We provide an overview on existing methods to analyze and visualize CT and MR perfusion data. The integrated visualization of several 2D parameter maps, the 3D visualization of parameter volumes, and exploration techniques are discussed. An essential aspect in the diagnosis of perfusion data is the correlation between perfusion data and derived time-intensity curves as well as with other image data, in particular with high-resolution morphologic image data. We discuss visualization support with respect to the three major application areas: ischemic stroke diagnosis, breast tumor diagnosis, and the diagnosis of coronary heart disease.

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“…The recommendations of the AHA also included a proposal how to arrange the 17 segments in a bull's eye plot [4]. These types of bull's eye plots are often applied when the resolution of the data is fairly low, for example in the visualizations of Hennemuth et al [9] of perfusion data. Occasionally the right ventricle is included as well [5].…”

Section: Introductionmentioning

confidence: 99%

Visualization of Myocardial Perfusion Derived from Coronary Anatomy

Termeer

Bescós

Breeuwer

et al. 2008

IEEE Trans. Visual. Comput. Graphics

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Abstract-Visually assessing the effect of the coronary artery anatomy on the perfusion of the heart muscle in patients with coronary artery disease remains a challenging task. We explore the feasibility of visualizing this effect on perfusion using a numerical approach. We perform a computational simulation of the way blood is perfused throughout the myocardium purely based on information from a three-dimensional anatomical tomographic scan. The results are subsequently visualized using both three-dimensional visualizations and bull's eye plots, partially inspired by approaches currently common in medical practice. Our approach results in a comprehensive visualization of the coronary anatomy that compares well to visualizations commonly used for other scanning technologies. We demonstrate techniques giving detailed insight in blood supply, coronary territories and feeding coronary arteries of a selected region. We demonstrate the advantages of our approach through visualizations that show information which commonly cannot be directly observed in scanning data, such as a separate visualization of the supply from each coronary artery. We thus show that the results of a computational simulation can be effectively visualized and facilitate visually correlating these results to for example perfusion data.

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Novel methods for parameter-based analysis of myocardial tissue in MR images

Cited by 10 publications

References 22 publications

Rapid prototyping of clinical software assistants

Rapid prototyping of clinical software assistants

Survey of the Visual Exploration and Analysis of Perfusion Data

Visualization of Myocardial Perfusion Derived from Coronary Anatomy

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