Abstract
This work presents an efficient method for volume rendering of glioma tumors from segmented 2D MRI Datasets with user interactive control, by replacing manual segmentation required in the state of art methods. The most common primary brain tumors are gliomas, evolving from the cerebral supportive cells. For clinical follow-up, the evaluation of the preoperative tumor volume is essential. Tumor portions were automatically segmented from 2D MR images using morphological filtering techniques. These segmented tumor slices were propagated and modeled with the software package. The 3D modeled tumor consists of gray level values of the original image with exact tumor boundary. Axial slices of FLAIR and T2 weighted images were used for extracting tumors. Volumetric assessment of tumor volume with manual segmentation of its outlines is a time-consuming process and is prone to error. These defects are overcome in this method. Authors verified the performance of our method on several sets of MRI scans. The 3D modeling was also done using segmented 2D slices with the help of medical software package called 3D DOCTOR for verification purposes. The results were validated with the ground truth models by the Radiologist.
Highlights
The extraction of 3D objects and its visualization is one of the most important steps in the analysis of the preprocessed medical image data, which can help in performing diagnosis, treatment planning, and treatment delivery
This work presents an efficient method for volume rendering of glioma tumors from segmented 2D MRI Datasets with user interactive control, by replacing manual segmentation required in the state of art methods
Segmentation is only implemented for tumor-contained slices
Summary
The extraction of 3D objects and its visualization is one of the most important steps in the analysis of the preprocessed medical image data, which can help in performing diagnosis, treatment planning, and treatment delivery. There may be cases where the automatic methods fail or perform poorly. Another consideration is that medical doctors must always have final control over the segmentation [2]. The most common primary brain tumors are gliomas, wherein 70% are in the group of malignant gliomas (anaplastic astrocytoma World Health Organization (WHO) grade III), glioblastoma multiforme (GBM) WHO grade IV) [3]. The multimodal therapeutical concept involves maximum safe resection followed by radiation and chemotherapy, depending on the patient’s functional impairment scale. The survival rate is still only approximately 15 months, despite new technical and medical accomplishments such as multimodal navigation during microsurgery, stereotactic radiation or the implementation of alkylating substances [4]. The clinical follow-up of tumor volume is essential for an adaptation of the therapeutical concept. The exact volume evaluation is fundamental to reveal a recurrent tumor or tumor progress as early as possible
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