Enhanced cardio vascular image analysis by combined representation of results from dynamic MRI and anatomic CTA

Kuehnel, C.; Hennemuth, Anja; Oeltze, Steffen; Boskamp, Tobias; Peitgen, Heinz‐Otto

doi:10.1117/12.771181

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…They also integrated the perfusion and contractility information to detect non-viable myocardial tissue [19]. Kühnel et al [20] proposed several visualization techniques to display a map of abnormal tissue with perfusion defects or scar from MRI data on the 3D myocardial surface to relate coronary stenoses visualized by CT that were candidates to cause the abnormalities. Similarly, Kirişli et al [21] proposed and evaluated several model-based techniques to visualize the coronary tree with absolute diameter measures from CT and perfusion territory maps from MRI on 2D BEP and 3D surface renderings.…”

Section: Related Workmentioning

confidence: 99%

Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations

Xiong

Sun

Zhou

et al. 2017

IEEE Trans. Visual. Comput. Graphics

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In clinical cardiology, both anatomy and physiology are needed to diagnose cardiac pathologies. CT imaging and computer simulations provide valuable and complementary data for this purpose. However, it remains challenging to gain useful information from the large amount of high-dimensional diverse data. The current tools are not adequately integrated to visualize anatomic and physiologic data from a complete yet focused perspective. We introduce a new computer-aided diagnosis framework, which allows for comprehensive modeling and visualization of cardiac anatomy and physiology from CT imaging data and computer simulations, with a primary focus on ischemic heart disease. The following visual information is presented: (1) Anatomy from CT imaging: geometric modeling and visualization of cardiac anatomy, including four heart chambers, left and right ventricular outflow tracts, and coronary arteries; (2) Function from CT imaging: motion modeling, strain calculation, and visualization of four heart chambers; (3) Physiology from CT imaging: quantification and visualization of myocardial perfusion and contextual integration with coronary artery anatomy; (4) Physiology from computer simulation: computation and visualization of hemodynamics (e.g., coronary blood velocity, pressure, shear stress, and fluid forces on the vessel wall). Substantially, feedback from cardiologists have confirmed the practical utility of integrating these features for the purpose of computer-aided diagnosis of ischemic heart disease.

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Section: Related Workmentioning

confidence: 99%

Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations

Xiong

Sun

Zhou

et al. 2017

IEEE Trans. Visual. Comput. Graphics

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show abstract

“…22 In their work, two software assistants are unified, each specialized on different aspects of coronary artery disease. Both analysis tools have been developed with our framework.…”

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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“…Moreover, Termeer et al developed a comprehensive medical visualization framework for a diagnosis-oriented visualization software to explore the combined 2D and 3D data representation of anatomical data and late enhancement analysis results from MRI [11]. Further methods for the relation of coronary arteries from CT and functional results from MRT based on the AHA model are proposed by Oeltze et al [12] In this paper we propose new analysis tools for the comprehensive assessment of the coronary arteries and myocardial viability in CT. Based on previous work on comprehensive result exploration [13], we offer a workflow-oriented exploration tool for the comprehensive analysis of CT angiography and LE data.…”

Section: Introductionmentioning

confidence: 99%

New analysis tools for the comprehensive assessment of the coronary arteries and myocardial viability in CT data sets

Kuehnel

Hennemuth

Peitgen

et al. 2008

2008 Computers in Cardiology

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In recent years the diagnosis of the coronary artery disease is supported by non-invasive imaging methods such as CT, MRI, PET or SPECT. Today, CT is the leading modality for morphology imaging of the heart. Moreover, iodine-based contrast agents enable a visualization of myocardial viability with CT. In this work, we present new software assistants, that enable a comprehensive result exploration of cause and effect of an ischemia from one imaging modality. Therefore, we adapted our current methods for the detection and segmentation of myocardial scars to CT data and compare the results with measurements from advanced coronary artery analysis. Results on several pig data demonstrate the ability to automatically detect infarctions and to relate them to the causative coronary arteries. Furthermore, preliminary results with two patient data sets illustrate that accurate patient-specific information can be achieved in addition to the standardized AHA 17-segment model

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Enhanced cardio vascular image analysis by combined representation of results from dynamic MRI and anatomic CTA

Cited by 7 publications

References 13 publications

Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations

Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations

Rapid prototyping of clinical software assistants

New analysis tools for the comprehensive assessment of the coronary arteries and myocardial viability in CT data sets

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