Estimation of Tumor Volume with Fuzzy-Connectedness Segmentation of MR Images

References

1. ↵
   Clarke LP, Velthuizen RP, Clark M, et al. MRI Measurement of brain tumor response: comparison of visual metric and automatic segmentation. Magn Reson Imaging 1998;16 ;271–279

   CrossRefPubMed
2. ↵
   Joe BN, Fukui MB, Meltzer CC, et al. Brain tumor volume measurement: comparison of manual and semiautomated methods. Radiology 1999;212:811–816

   PubMedWeb of Science
3. ↵
   Vaidyanathan L, Clarke LP, Hall LO, et al. Monitoring brain tumor response to therapy using MRI segmentation. Magn Reson Imaging 1997;15:323–334

   CrossRefPubMed
4. Kischell E, Kehtarnavaz N, Hillman G, Levin H, Lilly M, Kent T. Classification of brain compartments and head injury lesions by neural networks applied to MRI. Neuroradiology 1995;37:535–541

   PubMed
5. Kamber M, Shingal R, Collins D, Francis G, Evans A. Model based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images. IEEE Tran Med Imag 1995;14:442–453
6. ↵
   Vaidyanathan M, Clarke LP, Velthuizen RP, et al. Comparison of supervised MRI segmentation methods for tumor volume determination during therapy. Magn Reson Imaging 1995;13:719–728

   CrossRefPubMedWeb of Science
7. ↵
   Velthuizen RP, Clarke LP, Phuphanich S, et al. Unsupervised measurement of brain tumor volume on MR images. J Magn Reson Imaging 1995;5:594–605

   PubMed
8. Velthuizen RP, Clarke LP, Hall LO. Feature extraction for MRI segmentation. J Neuroimaging 1999;9:85–90

   PubMed
9. ↵
   Clarke LP, Velthuizen RP, Camacho MA, et al. MRI Segmentation: methods and applications. Magn Reson Imaging 1995;13:343–362

   CrossRefPubMedWeb of Science
10. ↵
    Udupa JK, Samarasekera S. Fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation. Graphical Models Image Processing 1996;58:246–261
11. ↵
    Udupa JK, Wei L, Samarasekera S, Miki Y, Van Buchem MA, Grossman RI. Multiple sclerosis lesion quantification using fuzzy-connectedness principles. IEEE Trans Med Imag 1997;16:598–609

    CrossRefPubMedWeb of Science
12. ↵
    Udupa JK, Odhner D, Tian J, Holland G, L Axel L. Automatic clutter-free volume rendering for MR angiography using fuzzy connectedness. SPIE Proc 1997;3034:114–119

    CrossRef
13. ↵
    Saha PK, Udupa JK, Conant EF, Chakraborty DP. Near-automatic segmentation and quantification of mammographic glandular tissue density. SPIE Proc 1999;3661:266–276
14. ↵
    Udupa JK, Tian J, Hemmy DC, Tessier P. A Pentium PC–based craniofacial 3D imaging and analysis system. J Craniofac Surg 1997;8:333–339

    PubMed
15. ↵
    Udupa JK, Odhner D, Samarasekera S, et al. 3DVIEWNIX: An open, transportable, multidimensional, multimodality, multiparametric imaging software system. SPIE Proc 1994;2164:58–73

    CrossRef
16. ↵
    Nyul LG, Udupa JK. On standardizing the MR image intensity scale. Magn Reson Med 1999;42:1072–1081

    CrossRefPubMed
17. ↵
    Nyul LG, Udupa JK. New variants of a method of MRI scale standardization. IEEE Trans Med Imag 2000;19:143–150

    CrossRefPubMedWeb of Science
18. Woods R, Cherry S, Mazziotta J. Rapid automated algorithm for aligning and reslicing PET images. J Comput Assisted Tomogr 1993;17:536–546

    CrossRefPubMedWeb of Science
19. Palagyi K, Udupa JK. Medical image registration based on fuzzy objects. Presented at: Proceedings of Computational Modeling, Imaging and Visualization in Biosciences; August 29–31, 1996; Sopron, Hungary
20. ↵
    Forsting M, Albert FK, Kunze S, Adams HP, Zenner D, Sartor K. Extirpation of glioblastomas: MR and CT follow-up of residual tumor and regrowth patterns. AJNR Am J Neuroradiol 1993;14:77–87

    Abstract/FREE Full Text
21. Leiberman AN, Foo SH, Ransohoff J, et al. Long term survival among patients with malignant brain tumors. Neurosurgery 1982;16:450–453
22. ↵
    Hochberg FH, Pruitt A. Assumptions in the radiotherapy of glioblastoma. Neurology 1980;30:907–911

    Abstract/FREE Full Text
23. ↵
    Earnest IV F, Kelly PJ, Scheithauer BW, et al. Cerebral astrocytomas: histopathologic correlation of MR and CT contrast enhancement with stereotactic biopsy. Radiology 1988;166:823–827

    PubMedWeb of Science
24. Scherer HJ. Forms of growth in gliomas and their practical significance. Brain 1949;63:1–35
25. Johnson PC, Hunt SJ, Drayer BP. Human cerebral gliomas: correlation of post mortem MR imaging and neuropathologic findings. Radiology 1989;170:211–217

    PubMedWeb of Science
26. Lunsford LD, Martinez AJ, Latchaw RE. Magnetic resonance imaging does not define tumor boundaries. Acta Radiol Suppl 1986;369:154–156

    PubMed
27. ↵
    Wilkins DE, Raaphorst GP, Saunders, Sutherland GR, Smith ICP. Correlation between Gd- enhanced MR imaging and histopathology in treated and untreated 9L rat brain tumors. Magn Reson Imaging 1995;13:89–96

    CrossRefPubMed
28. ↵
    Chow KL, Gobin YP, Cloughesy T, Sayre JW, Villablanca JP, Vinuela F. Prognostic factors in recurrent glioblastoma multiforme and anaplastic astrocytoma treated with selective intra-arterial chemotherapy. AJNR Am J Neuroradiol 2000;21:471–47

    Abstract/FREE Full Text
29. ↵
    Dewitte O, Levivier M, Violon P, Brotchi J, Goldman S. Quantitative imaging study of the extent of surgical resection and prognosis of malignant astrocytoma [letter]. Neurosurgery 1998;43:398–399

    CrossRefPubMed
30. ↵
    Kowalczuk A, Macdonald RL, Amidei C, et al. Quantitative imaging study of extent of surgical resection and prognosis of malignant astrocytomas. Neurosurgery 1997;41:1028–1038

    CrossRefPubMedWeb of Science
31. ↵
    Donahue B, Allen J, Siffert J, Rosovsky M, Pinto R. Patterns of recurrence in brain stem gliomas: evidence for craniospinal dissemination. Int J Radiat Oncology Biol Phys 1998;40:677–680

    CrossRefPubMedWeb of Science
32. ↵
    Sneed PK, Gutin PH, Larson DA, et al. Patterns of recurrence of glioblastoma multiforme after external irradiation followed by implant boost. Int J Radiat Oncology Biol Phys 1994;29:719–727

    CrossRefPubMed
33. ↵
    Udupa JK, Herman GT, eds. 3D Imaging in Medicine. Boca Raton, Fla: CRC Press; 2000
34. ↵
    Mathews VP, Caldemeyer KS, Ulmer JL, Nguyen H, Yuh WTC. Effects of contrast dose, delayed imaging, and magnetization transfer saturation on gadolinium-enhanced MR imaging of brain lesions. J Magn Reson Imaging 1997;7:14–22

    PubMed
35. Yuh WT, Nguyen HD, Tali ET. Delineation of gliomas with various doses of contrast material. AJNR Am J Neuroradiol 1994;15:983–989

    Abstract/FREE Full Text
36. Schorner W, Laniado M, Niendorf HP, Schubert C, Felix R. Time-dependent changes in image contrast in brain tumors after gadolinium-DTPA. AJNR Am J Neuroradiol 1986;7:1013–1020

    Abstract/FREE Full Text
37. Graif M, Bydder GM, Steiner RE, Neindorf P, Thomas DG, Young IR. Contrast-enhanced MR imaging of malignant brain tumors. AJNR Am J Neuroradiol 1985;6:855–862

    Abstract/FREE Full Text
38. Akeson P, Nordstorm CH, Holtas S. Time-dependency in brain lesion enhancement with gadodiamide injection. Acta Radiol 1997;38:19–24

    FREE Full Text
39. ↵
    Bullock PR, Mansfield P, Gowland P, Worthington BS, Firth JL. Dynamic imaging of contrast enhancement in brain tumors. Magnetic Reson Med 1991;19:293–298