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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yazdan-Shahmorad, A. Soltanian-Zadeh, H. Zoroofi, R.A. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Tehran Univ., Iran (Yazdan-Shahmorad, A.; Soltanian-Zadeh, H.; Zoroofi, R.A.) |
| Abstract | Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique for assessing biochemical fingerprint of tissue composition. The need to differentiate between normal and abnormal tissues and determine type of abnormality before biopsy or surgery motivated development and application of MRSI. There are several technical reasons that make the brain easier than other organs to be examined with MRSI. This work presents our proposed methods and results for the analysis of the brain spectra of patients with three tumor types (malignant glioma, astrocytoma, and oligodendroglioma). After extracting features from MRSI data using wavelet and wavelet packets, we use artificial neural networks to determine the abnormal spectra and the type of abnormality. We evaluated the proposed methods using clinical and simulated MRSI data and biopsy results. The MRSI analysis results were correct 97% of the time when classifying the spectra of the clinical MRSI data into normal tissue, tumor, and radiation necrosis. They were correct 72% and 83% of the time when determining tumor types using the clinical and simulated MRSI data, respectively. |
| Starting Page | 1810 |
| Ending Page | 1813 |
| File Size | 163359 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780384393 |
| DOI | 10.1109/IEMBS.2004.1403540 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet packets Neoplasms Artificial neural networks Biopsy Magnetic resonance Spectroscopy Magnetic resonance imaging Fingerprint recognition Surgery Cancer tumor characterization Magnetic Resonance Spectroscopy Imaging (MRSI) wavelets artificial neural networks |
| Content Type | Text |
| Resource Type | Article |
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