The specific aims of the project are to develop an optimized technique for quantitative analysis of tumor volume in response to treatment. This will be primarily accomplished using various strategies for supervised and unsupervised segmentation of image data. The data will be generated from registered multi-modality (MRI and PET) images of patients with tumors of the head and neck and brain who are undergoing treatment. This project will produce objective methods to determine tumor volumes which are critically important for therapy planning and monitoring. The result will be increased confidence in the three-dimensional determination of the boundaries of active tumor tissue, edema, and necrosis with a high degree of objectivity.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA059425-01
Application #
3203215
Study Section
Special Emphasis Panel (SRC (64))
Project Start
1993-04-01
Project End
1996-03-31
Budget Start
1993-04-01
Budget End
1994-03-31
Support Year
1
Fiscal Year
1993
Total Cost
Indirect Cost
Name
University of South Florida
Department
Type
Schools of Medicine
DUNS #
City
Tampa
State
FL
Country
United States
Zip Code
33612
Clark, M C; Hall, L O; Goldgof, D B et al. (1998) Automatic tumor segmentation using knowledge-based techniques. IEEE Trans Med Imaging 17:187-201
Clarke, L P; Velthuizen, R P; Clark, M et al. (1998) MRI measurement of brain tumor response: comparison of visual metric and automatic segmentation. Magn Reson Imaging 16:271-9
Velthuizen, R P; Heine, J J; Cantor, A B et al. (1998) Review and evaluation of MRI nonuniformity corrections for brain tumor response measurements. Med Phys 25:1655-66
Vaidyanathan, M; Clarke, L P; Heidtman, C et al. (1997) Normal brain volume measurements using multispectral MRI segmentation. Magn Reson Imaging 15:87-97
Bezdek, J C; Hall, L O; Clark, M C et al. (1997) Medical image analysis with fuzzy models. Stat Methods Med Res 6:191-214
Vaidyanathan, M; Clarke, L P; Hall, L O et al. (1997) Monitoring brain tumor response to therapy using MRI segmentation. Magn Reson Imaging 15:323-34
Velthuizen, R P; Clarke, L P; Phuphanich, S et al. (1995) Unsupervised measurement of brain tumor volume on MR images. J Magn Reson Imaging 5:594-605
Clarke, L P; Velthuizen, R P; Camacho, M A et al. (1995) MRI segmentation: methods and applications. Magn Reson Imaging 13:343-68
Phillips 2nd, W E; Velthuizen, R P; Phuphanich, S et al. (1995) Application of fuzzy c-means segmentation technique for tissue differentiation in MR images of a hemorrhagic glioblastoma multiforme. Magn Reson Imaging 13:277-90
Vaidyanathan, M; Clarke, L P; Velthuizen, R P et al. (1995) Comparison of supervised MRI segmentation methods for tumor volume determination during therapy. Magn Reson Imaging 13:719-28

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