Aortic and Mitral Valve Modeling From Multi-Modal Image Data

Author(s):  
S. Grbic ◽  
I. Voigt ◽  
T. Mansi ◽  
B. Georgescu ◽  
R. Ionasec ◽  
...  
Author(s):  
Abhiram Rao ◽  
Prahlad G. Menon

Mitral regurgitation (MR) is a common consequence of ventricular remodeling in heart failure (HF) patients with systolic dysfunction and is associated with diminished survival rates. Characterization of patient-specific anatomy and function of the regurgitant mitral valve (MV) can enhance surgical decision making in terms of medical device choice and deployment strategy for minimally invasive endovascular approaches for MV repair. As a first step toward pre-operative planning for MV repair, we examine the feasibility of using cardiac magnetic resonance (CMR) images acquired in multiple orientations to resolve leaflet function and timing. In this study, MV motion of a HF patient with ischemic heart disease exhibiting both adverse ventricular remodeling and MR was compared pre-operatively against a normal control from the Sunnybrook cardiac database, starting with manually segmented 2D MV contours from cine CMR images acquired in multiple orientations. We find that MV motion analysis from CMR imaging is feasible and anatomical reconstruction using oriented segmentations from a combination of imaging slices acquired in multiple orientations can help overcome inherent limitations of CMR image data in terms of resolving small anatomical features, owing to finite slice-thicknesses and partial volume effects.


2012 ◽  
Vol 39 (2) ◽  
pp. 933-950 ◽  
Author(s):  
Alison M. Pouch ◽  
Paul A. Yushkevich ◽  
Benjamin M. Jackson ◽  
Arminder S. Jassar ◽  
Mathieu Vergnat ◽  
...  

2019 ◽  
Vol 398 ◽  
pp. 108895 ◽  
Author(s):  
Dario Collia ◽  
Marija Vukicevic ◽  
Valentina Meschini ◽  
Luigino Zovatto ◽  
Gianni Pedrizzetti

2019 ◽  
Vol 2019.32 (0) ◽  
pp. 274
Author(s):  
Megumi MINAMIHARA ◽  
Takuya TERAHARA ◽  
Kenji TAKIZAWA ◽  
Tayfun E. TEZDUYAR
Keyword(s):  

Author(s):  
Michael Kruttschnitt ◽  
Nouray N. Hassan ◽  
Klaus Tiemann ◽  
Niklas Hitschrich ◽  
Ralf Sodian ◽  
...  

Abstract Mitral valve regurgitation is one of the most common heart valve disorders and mitral valve repair is the favored therapy. For preoperative planning of the procedure, heart surgeons mentally interpret ultrasound images of the mitral valve. To improve preoperative understanding of the mitral valve and preoperative planning of the repair, we and other groups research patient-specific mitral valve replicas. The mitral valve is segmented from 3D ultrasound image data of the heart and a corresponding casting mold is designed and 3D printed. With it, the mitral valve replica is cast out of silicone. So far, segmentation and casting mold design are done manually. This makes the manufacturing of the mitral valve replicas laborious and complicates clinical application. We present patient-specific mitral valve replicas where the segmentation is semi-automatic and the casting mold design is completely automatic. We use an existing software that semi-automatically segments mitral valves from 3D ultrasound image data and developed an automatic casting mold design that automatically creates casting molds based on the segmented mitral valves. With this, patient-specific mitral valve replicas can be manufactured that may help heart surgeons to get a more precise understanding of the mitral valve preoperatively and to plan the most effective surgical repair technique. The automation should facilitate independent and mass clinical application. We equipped a heart clinic with our system and manufactured patient-specific mitral valve replicas for several patients. A heart surgeon planned mitral valve repair with them. We present one of the cases.


2009 ◽  
Vol 48 (02) ◽  
pp. 216-224 ◽  
Author(s):  
J. Relan ◽  
J. Ehrhardt ◽  
K. Müllerleile ◽  
A. Bahrmeyer ◽  
M. Groth ◽  
...  

Summary Objectives: Left ventricle (LV) segmentation is required to quantify LV volume and mass parameters. Therefore, spatiotemporal Cine MR sequences in the short and long axis of the heart are acquired. Generally, LV segmentation methods consider short-axis sequences only. The reduced resolution in long-axis direction is one of the main reasons for inaccurate parameter extraction in the apical and basal area. The segmentation approach presented combines short- and long-axis information as well as motion tracking to enable the functional LV analysis in 4D MR Image Data. Methods: First, anatomical landmarks like the mitral valve and the apex are defined in long-axis views in diastolic and systolic phase in order to specify the upper and lower boundary of the LV. Second, motion field approximation using non-linear registration enables the automatic contour propagation to all time points. Third, intersection planes are defined parallel to the mitral valve plane covering the whole ventricle. Finally, the 4D LV surface model is generated appending all in-plane contours. The segmentation results in short-axis images are checked and adjusted interactively and quantitative parameters are extracted. Results: For evaluation the contours of 19 different datasets were traced by two medical experts using a contour drawing tool and the new segmentation tool. The results were compared to evaluate automatic contour propagation, robustness of the segmentation as well as interaction time. Conclusion: The automatic contour propagation enables the fast and reproducible generation of a 4D model for the functional analysis of the heart. The interaction time is decreased from approx. 60 minutes to 10 minutes per case. Inter- and intraobserver differences of the extracted parameters are decreased significantly.


2011 ◽  
Vol 91 (1) ◽  
pp. 165-171 ◽  
Author(s):  
Arminder Singh Jassar ◽  
Clayton J. Brinster ◽  
Mathieu Vergnat ◽  
J. Daniel Robb ◽  
Thomas J. Eperjesi ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document