### Rib Detection in Mri Using Statistical Shape and Mr Appearance Models
نویسندگان
چکیده
Background: Magnetic resonance guided high intensity focused ultrasound (MRgHIFU) therapy is a promising new technology to ablate tissues non-invasively. Exact knowledge of the location of the target organ as well as the risk structures on the beam path is crucial to a successful therapy. One particularly important structure is the ribcage due to its vicinity to the liver, and bones’ absorption and reflection of ultrasound energy causing harm to themselves and the surrounding tissues. Therefore, it is necessary to detect ribs in MR images.
منابع مشابه
Detection and Registration of Ribs in MRI Using Geometric and Appearance Models
Magnetic resonance guided high intensity focused ultrasound (MRgHIFU) is a new type of minimally invasive therapy for treating malignant liver tissues. Since the ribs on the beam path can compromise an effective therapy, detecting them and tracking their motion on MR images is of great importance. However, due to poor magnetic signal emission of bones, ribs cannot be entirely observed in MR. In...
متن کاملImproved Active Shape Models for Segmentation of the Prostate on Mr Imagery
OF THE THESIS Improved Active Shape Models for Segmentation of the Prostate on MR Imagery by Robert James Toth Thesis Director: Anant Madabhushi Segmentation aims to determine which locations within an image contain the object of interest. Segmentation of the prostate boundary on clinical images is useful in a large number of applications including calculation of prostate volume preand posttrea...
متن کاملEfficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI
We present a framework for the analysis of short axis cardiac MRI, using statistical models of shape and appearance. The framework integrates temporal and structural constraints and avoids common optimization problems inherent in such high dimensional models. The first contribution is the introduction of an algorithm for fitting 3D active appearance models (AAMs) on short axis cardiac MRI. We o...
متن کاملStatistical Models of Appearance for Functional Analysis of Cardiac MRI
We present a framework for the analysis of cardiac MRI using Statistical Models of Appearance. This thesis makes three major contributions. The first contribution involves the introduction of a new algorithm for fitting 3-D Active Appearance Models on cardiac MRI, using the inverse compositional image alignment algorithm. We observe a 60-fold increase in fitting speed and an accuracy that is on...
متن کاملApplication of Shape Analysis on 3D Images - MRI of Renal Tumors
The image recognotion and the classification of objects according to the images are more in focus of interests, especially in medicine. A mathematical procedure allows us, not only to evaluate the amount of data per se, but also ensures that each image is pro- cessed similarly. Here in this study, we propose the power of shape analysis, in conjunction with neural networks for reducing white n...
متن کامل