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Statistical validation of image segmentation quality based on a spatial overlap index.
Development and evaluation of an efficient approach to volumetric arc therapy planning.
- K. Bzdusek, Henrik Friberger, K. Eriksson, B. Hårdemark, D. Robinson, M. Kaus
- Medicine, PhysicsMedical physics
- 1 June 2009
An efficient method for volumetric intensity modulated arc therapy (VMAT) planning was developed, where a single arc (360 degrees or less) is delivered under continuous variation of multileaf…
Adaptive, template moderated, spatially varying statistical classification
Adaptive Template Moderated Spatially Varying Statistical Classification
A novel image segmentation algorithm was developed, in which an explicit anatomical template is used to moderate the segmentation obtained by statistical classification, which forms an adaptive, template moderated, spatially varying statistical classification (SVC).
Automated segmentation of MR images of brain tumors.
The automated method allowed rapid identification of brain and tumor tissue with an accuracy and reproducibility comparable to those of manual segmentation, making automated segmentation practical for low-grade gliomas and meningiomas.
Automated Segmentation of MRI of Brain Tumors
The automated method allows the rapid identification of brain and tumor tissue with accuracy and reproducibility comparable to manual segmentation making automated segmentation practical for low grade gliomas and meningiomas.
Assessment of a model-based deformable image registration approach for radiation therapy planning.
Automated 3-D PDM construction from segmented images using deformable models
- M. Kaus, V. Pekar, C. Lorenz, R. Truyen, S. Lobregt, J. Weese
- Computer ScienceIEEE Transactions on Medical Imaging
- 28 July 2003
A novel method for the automated construction of three-dimensional PDM from segmented images based on a novel deformable model technique is presented and it is demonstrated that the method accurately represents and predicts shapes.
Automated model-based organ delineation for radiotherapy planning in prostatic region.
Shape Constrained Deformable Models for 3D Medical Image Segmentation
This work presents an approach which embeds an active shape model into an elastically deformable surface model, and combines the advantages of both approaches, and leads reliably to a very good overall segmentation.