Cerebral tumor volume calculations using planimetric and eigenimage analysis
Autor: | Joe P. Windham, Linda L. Emery, Donald J. Peck, Hamid Soltanian-Zadeh, Tom Mikkelsen, David Hearshen |
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Rok vydání: | 1996 |
Předmět: |
Pathology
medicine.medical_specialty Biophysics Partial volume Biophysical Phenomena Lesion Image Processing Computer-Assisted medicine Medical imaging Humans Segmentation Reproducibility medicine.diagnostic_test Brain Neoplasms business.industry Reproducibility of Results Magnetic resonance imaging General Medicine Magnetic Resonance Imaging Thresholding Evaluation Studies as Topic Feature (computer vision) Neoplasm Recurrence Local medicine.symptom Nuclear medicine business |
Zdroj: | Medical Physics. 23:2035-2042 |
ISSN: | 0094-2405 |
DOI: | 10.1118/1.597900 |
Popis: | Volume determination in cerebral tumors requires accurate and reproducible segmentation. This task has been traditionally accomplished using planimetric methods which define the boundary of the lesion using thresholding and edge detection schemes. These methods lack accuracy and reproducibility when the contrast between the lesion and surrounding tissue is not maximized. Because of this limitation contrast agents are used providing reproducible results for the enhancing portion of the lesion. A novel approach for volume determination has been developed (eigenimage filter) which segments a desired feature (tissue type) from surrounding undesired features in a sequence of images. This method corrects for partial volume effects and has been shown to provide accurate and reproducible volume determinations. In addition, the eigenimage filter does not require the use of contrast and has the capability to segment a lesion into multiple regions. This allows different components of the lesion to be included and monitored in treatment. In this study planimetric methods and the eigenimage filter were compared for segmenting cerebral tumors and determining their volumes. The planimetric methods were reproducible in determining volumes for the enhancing portion of the lesion with interobserver percent differences |
Databáze: | OpenAIRE |
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