Abstract
Tumor volume progression and calculation is a very common task in cancer research and image processing. Tumor volume analysis can be carried out in two ways. The first way is using different mathematical formulas and the second way is using image registration-segmentation method. In this paper an objective application of registration of multiple brain imaging scans with segmentation is used to investigate brain tumor growth in a 3 dimensional (3D) manner. Using 3D medical image registration-segmentation algorithm, multiple scans of MR images of a patient who has brain tumor are registered with different MR images of the same patient acquired at a different time so that growth of the tumor inside the patient's brain can be investigated. Brain tumor volume measurement is also achieved using mathematical model based formulas in this paper. Medical image registration-segmentation and mathematical based method are implemented to 19 patients and satisfactory results are obtained. An advantageous point of medical image registration-segmentation method for brain tumor investigation is that grown, diminished, and unchanged brain tumor parts of the patients are investigated and computed on an individual basis in a three-dimensional (3D) manner within the time. This paper is intended to provide a comprehensive reference source for researchers involved in medical image registration, segmentation and tumor growth investigation.
Highlights
The dataset that is used in this study is a publicly available dataset [49] and is known as RIDER Neuro MRI project from The Cancer Imaging Archive (TCIA) database [50]
A useful and effective application of medical image registration-segmentation is offered in this paper with comparison of mathematical based methods
Intensity-based medical image registration phenomenon is used in this study
Summary
B RAIN TUMORS have been announced as one of the most fatal cancers in the western population [1]. Glioblastoma (WHO grade IV) is known as the most fatal and the most frequent brain tumor which shows very rapid growth [4]. Treatment methods such as surgery, radiation, chemotherapy are available for treatment of glioblastoma average survival time is 15 months because of the infiltrating nature of glioblastoma [5]. Various researchers have showed that MRI is superior to CT for diagnostic brain imaging [6,7,8,9]. MRI in combination with other imaging modalities based studies is more feasible and rational in a clinical point of view. 332 BALKAN JOURNAL OF ELECTRICAL & COMPUTER ENGINEERING, Vol 8, No 4, October 2020 methods followed by irradiation of the tumor source
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