Interactive segmentation of brain tumors in MR images using 3D region growing

rendering, radiation therapy planning, and automated assessment of signalcharacteristics of potentially malignant tissues. Once an accurate segmentationis obtained, this information may be used by the radiologist to compare thevolume, morphology, and tissue characteristics of each region against knownanatomical norms, other regions in the same image set, and correspondingregions in related image sets. For example, assessment of changes in tumorvolume can be made over time using robust segmentation techniques.A continuing need of oncology imaging is implementation of accurate,

[1]  D R Haynor,et al.  Partial volume tissue classification of multichannel magnetic resonance images-a mixel model. , 1991, IEEE transactions on medical imaging.

[2]  A Kundu.  Local segmentation of biomedical images. , 1990, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[3]  T Pun,et al.  An expert system for guiding image segmentation. , 1990, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[4]  James M. Coggins,et al.  Image Structure Analysis Supporting Interactive Object Definition , 1990, [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  V S Caviness,et al.  Volumetric analyses of central nervous system neoplasm based on MRI. , 1991, Pediatric neurology.

[6]  Lawrence O. Hall,et al.  Mri Segmentation Using Supervised And Unsupervised Methods , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

[7]  A A Moss,et al.  How accurate are computed tomographic scans in assessment of changes in tumor size? , 1983, The American journal of medicine.

[8]  J Toriwaki,et al.  Automatic segmentation of head MRI images by knowledge guided thresholding. , 1991, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[9]  L. Clarke,et al.  Image segmentation in digital mammography: comparison of local thresholding and region growing algorithms. , 1992, Computerized Medical Imaging and Graphics.

[10]  R. Kikinis,et al.  Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging , 1992, Journal of magnetic resonance imaging : JMRI.