Prostate MR image segmentation using 3D Active Appearance Models
نویسندگان
چکیده
This paper presents a method for automatic segmentation of the prostate from transversal T2-weighted images based on 3D Active Appearance Models (AAM). The algorithm consist of two stages. Firstly, Shape Context based non-rigid surface registration of the manual segmented images is used to obtain the point correspondence between the given training cases. Subsequently, an AAM is used to segment the prostate on 50 training cases. The method is evaluated using a 5-fold cross validation over 5 repetitions. The mean Dice similarity coefficient and 95% Hausdorff distance are 0.78 and 7.32 mm respectively.
منابع مشابه
Improved 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 کاملA supervoxel-based segmentation method for prostate MR images
PURPOSE Segmentation of the prostate on MR images has many applications in prostate cancer management. In this work, we propose a supervoxel-based segmentation method for prostate MR images. METHODS A supervoxel is a set of pixels that have similar intensities, locations, and textures in a 3D image volume. The prostate segmentation problem is considered as assigning a binary label to each sup...
متن کاملEvaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation is useful for various tasks, e.g. to accurately localize prostate boundaries for radiotherapy or to initialize multi-modal registration algorithms. In the past, it has been difficult for research groups to evaluate prostate s...
متن کاملAn Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network
Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...
متن کاملDeformable Landmark-Free Active Appearance Models: Application to Segmentation of Multi-Institutional Prostate MRI Data
Prostate segmentation is a necessary step for computer aided diagnosis systems, volume estimation, and treatment planning. The use of standard datasets is vital for comparing different segmentation algorithms, and 100 datasets from 4 institutions were gather to test different algorithms on T2-weighted MR imagery. In this paper, a landmark-free Active Appearance Model based segmentation algorith...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012