S. Solloway, C. Hutchinson, J. Waterton, and C. Taylor, "The use of active shape models for making thickness measurements of articular cartilage from MR images," Magnetic Resonance in Medicine 37(6), pp. 943--952, 1997.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....segmentation. We focus on Active Shape Models (ASM) as put forward by Cootes et al. 1] which combine statistical knowledge of object shape and shape variation with local appearance models near object contours. ASMs have been successfully applied to various segmentation tasks in medical imaging [11, 12, 13, 14, 15]. To our knowledge, no previous work has concentrated on ASM segmentation of vessel like structures. We present a method for AAA segmentation, based on automated 2D Active Shape Model (ASM) fitting in sequential slices. Cootes et al. 11] reported successful slice by slice segmentation of the ....

S. Solloway, C. Taylor, C. Hutchinson, and J. Waterton, "The use of active shape models for making thickness measurements from MR images," in Proceedings of the 4th European Conference on Computer Vision, pp. 400--412, 1996.

....to make use of an anatomical template, and the segmentation is a straightforward process. Similarly, some segmentation problems can be solved by matching deformable Corresponding author (e mail: warfield bwh.harvard.edu) models directly to the image data (Collins, 1994; Kumar et al. 1996; Solloway et al. 1997). Here we deal with those segmentation problems for which feature identification and classification, or matching deformable models alone, are insufficient. These problems are typified by spectral overlap and or structures to be segmented that are not modelled in, or cannot be matched by, a ....

Solloway, S., Hutchinson, C., Waterton, J. and Taylor, C., (1997). The use of active shape models for making thickness measurements of articular cartilage from MR images. Magn Reson Med, 37, 6, 943--952.

....that incorporate anatomical models into the segmentation process use a parameterized shape based approach. In these methods, statistical parameters for parameterized shape models of the desired structures are generated from handsegmented data and used to influence the computer based segmentation [10, 3, 8, 9, 11, 12]. A recent review of various deformable models that have been used for segmentation can be found in [7] A different type of statistical model is proposed by Kamber et al. 5] for brain MRI scans. It is constructed by registering and averaging the voxel intensities of normal brain scans to provide ....

....statistical model is proposed by Kamber et al. 5] for brain MRI scans. It is constructed by registering and averaging the voxel intensities of normal brain scans to provide spatial prior probabilities for intensity based classification. Model Based Method in Knee Segmentation: Solloway et al. [8] use a parameterized shape based method for segmenting femoral cartilage. Their method uses principal component analysis to encode shape and intensity variations across a training set of landmark locations. During segmentation, the mean locations of the landmarks from the training data are ....

S. Solloway, C. Hutchinson, J. Waterton, and C.J. Taylor, "The use of Active Shape Models for Making Thickness Measurements of Articular Cartilage from MR Images", MRM 37:943-952, 1997

....that incorporate anatomical models into the segmentation process use a parameterized shape based approach. In these methods, statistical parameters for parameterized shape models of the desired structures are generated from handsegmented data and used to influence the computer based segmentation [9, 2, 7, 8, 10, 11]. A recent review of various deformable models that have been used for segmentation can be found in [6] A different type of statistical model is proposed by Kamber et al. 4] for brain MRI scans. It is constructed by registering and averaging the voxel intensities of normal brain scans to provide ....

....statistical model is proposed by Kamber et al. 4] for brain MRI scans. It is constructed by registering and averaging the voxel intensities of normal brain scans to provide spatial prior probabilities for intensity based classification. Model Based Method in Knee Segmentation: Solloway et al. [7] use a parameterized shape based method for segmenting femoral cartilage. Their method uses principal component analysis to encode shape and intensity variations across a training set of landmark locations. During segmentation, the mean locations of the landmarks from the training data are ....

S. Solloway, C. Hutchinson, J. Waterton, and C.J. Taylor "The use of Active Shape Models for Making Thickness Measurements of Articular Cartilage from MR Images", MRM 37:943-952, 1997

.... (MR) for 3D visualization [1] volume and thickness measurements [2, 3] and tracking of the cartilage surfaces in compression experiments [4] Since the manual delineation of the cartilage boundaries is tedious and time consuming, a lot of effort has been devoted to automate this processing step [5]. The seminal work of Kass et al. 6] inspired many promising approaches to find boundaries in medical images by the use of deformable contour models [7] or B spline snakes [8, 9] Both concepts have proven to be suitable for matching an initial contour to smooth object boundaries in noisy images ....

....implies the smoothness of the contour. In addition to the external image forces, we have introduced so called model forces that measure the similarity of the contour to a given model using the Euclidean distance transformation (EDT) 10, 3] In contrast to other model based approaches [5] where the movements of the contour are restricted within fixed limits implied by the model, the EDT permits to influence and guide the adaption process of the contour in a continuous and smooth way. The initial contour is either provided by user interaction or another initial guess taken for ....

[Article contains additional citation context not shown here]

Solloway S, et al.: The use of active shape models for making thickness measurements of articular cartilage from MR images. Magn Reson Med, 37:943--952, 1997.

....can be solved simply by feature identification and classification. In this case, there is no need to make use of an anatomical template, and the segmentation is a straightforward process. Similarly, some segmentation problems can be solved by matching deformable models directly to the image data [1, 2, 3]. Here we deal with those segmentation problems for which feature identification and classification, or matching deformable models alone, are insufficient. These different segmentation strategies are often complementary, both in the tasks where they succeed and in the tasks where the fail. For ....

S Solloway, CE Hutchinson, JC Waterton, and CJ Taylor, "The use of active shape models for making thickness measurements of articular cartilage from MR images.", Magn Reson Med, vol. 37, no. 6, pp. 943--952, 1997.

....slice was selected from the right kidney that included most evidence of the collecting apparatus. Knee cartilage: Sagittal images of the articular cartilage of the lateral femoral condyle were acquired from asymptomatic human subjects using Tl weighted MRI and seg mented as described previously [25]. A single sagital slice was chosen from the centre of the lateral femoral condyles. As the width of the femur varies from subject to subject, comparable slices were identified by selecting the slices halfway between 1, the first evidence of the lateral aspect of the meniscal horn and 2, the full ....

S. Solloway, C. E. Hutchinson, J. C. Waterton and C.J. Taylor, "The use of active shape models for making thickness measurements of articular cartilage from MRI", Magnetic Resonance in Medicine, vol. 47, pp. 943-952 , 1997.

No context found.

S. Solloway, C. Hutchinson, J. Waterton, and C. Taylor, "The use of active shape models for making thickness measurements of articular cartilage from MR images," Magnetic Resonance in Medicine 37(6), pp. 943--952, 1997.

No context found.

Solloway, S., Hutchinson, C., Waterton, J., Taylor, C., 1997. The use of active shape models for making thickness measurements of articular cartilage from MR images. Magnetic Resonance in Medicine 37 (6), 943--952.

No context found.

S. Solloway, C. J. Taylor, C. E. Hutchinson, and J. C. Waterton, "The use of active shape models for making thickness measurements from MR images," in Proc. 4th Eur. Conf. Computer Vision, 1996, pp. 400--412.

No context found.

S. Solloway, C. Hutchinson, J. Waterton, and C. Taylor, "The use of active shape models for making thickness measurements of articular cartilage from MR images," Magnetic Resonance in Medicine, vol. 37, no. 6, pp. 943--952, 1997.

No context found.

S. Solloway, C. Hutchinson, J. Waterton, and C. Taylor, "The use of active shape models for making thickness measurements of articular cartilage from MR images," Magnetic Resonance in Medicine, vol. 37, no. 6, pp. 943--952, 1997.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC