Neugebauer et al., 2019 - Google Patents
Virtual downsizing for decision support in mitral valve repairNeugebauer et al., 2019
- Document ID
- 442522335879759701
- Author
- Neugebauer M
- Tautz L
- Hüllebrand M
- Sündermann S
- Degener F
- Goubergrits L
- Kühne T
- Falk V
- Hennemuth A
- Publication year
- Publication venue
- International Journal of Computer Assisted Radiology and Surgery
External Links
Snippet
Purpose Various options are available for the treatment of mitral valve insufficiency, including reconstructive approaches such as annulus correction through ring implants. The correct choice of general therapy and implant is relevant for an optimal outcome. Additional …
- 210000004115 Mitral Valve 0 title description 10
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30048—Heart; Cardiac
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
- G06T2207/20128—Atlas-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Mansi et al. | An integrated framework for finite-element modeling of mitral valve biomechanics from medical images: application to MitralClip intervention planning | |
US8920322B2 (en) | Valve treatment simulation from medical diagnostic imaging data | |
Pouch et al. | Semi-automated mitral valve morphometry and computational stress analysis using 3D ultrasound | |
US9245091B2 (en) | Physically-constrained modeling of a heart in medical imaging | |
US9406142B2 (en) | Fully automatic image segmentation of heart valves using multi-atlas label fusion and deformable medial modeling | |
US11551355B2 (en) | Semi-automated heart valve morphometry and computational stress analysis from 3D images | |
US9585632B2 (en) | Estimation of a mechanical property of anatomy from medical scan data | |
Schneider et al. | Patient-specific mitral leaflet segmentation from 4D ultrasound | |
JP6382304B2 (en) | Medical imaging system | |
US9848856B2 (en) | Valve modeling with dense chordae from medical scan data | |
Noack et al. | New concepts for mitral valve imaging | |
Neugebauer et al. | Virtual downsizing for decision support in mitral valve repair | |
Tautz et al. | Extraction of open-state mitral valve geometry from CT volumes | |
Mansi et al. | Towards patient-specific finite-element simulation of mitralclip procedure | |
Zhang et al. | Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation | |
Pouch et al. | Image segmentation and modeling of the pediatric tricuspid valve in hypoplastic left heart syndrome | |
Eulzer et al. | Temporal views of flattened mitral valve geometries | |
Schoch et al. | Comprehensive patient-specific information preprocessing for cardiac surgery simulations | |
Ben Zekry et al. | Comparative evaluation of mitral valve strain by deformation tracking in 3D-echocardiography | |
Siefert et al. | Accuracy of a mitral valve segmentation method using J-splines for real-time 3D echocardiography data | |
Rim et al. | Effect of congenital anomalies of the papillary muscles on mitral valve function | |
Aly et al. | In vivo image-based 4d modeling of competent and regurgitant mitral valve dynamics | |
Azencott et al. | Diffeomorphic matching and dynamic deformable surfaces in 3D medical imaging | |
Carnahan | Towards Patient Specific Mitral Valve Modelling via Dynamic 3D Transesophageal Echocardiography | |
Aly et al. | Semi-automated image segmentation of the midsystolic left ventricular mitral valve complex in ischemic mitral regurgitation |