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B-Map: a fuzzy-based model to detect foreign objects in a brain

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Abstract

To cope up with the medical complications, scientists and physicians rely more on digitized historical evidence. It helps them to identify the disease and to develop new drugs and strategies. The authors have designed a model called B-Map. It can detect and segmenting any foreign object in the brain using fuzzy rules. The model can detect objects such as cancer and brain tumor. The proposed work aims at designing a classifier. The classifier would help to detect all possible foreign objects using one application. B-Map has been compared with benchmark algorithms such as K-means and ANN. It was found that the proposed model performs significantly better than the current techniques. Original patients’ sample reports are taken from various medical laboratories.

Graphical abstract

The figure numbers are retained as in the paper. The proposed model is able to find the edges and segment different types of foreign objects or one can say unexpected developments. Figure 12 shows the outer edges of a section of a brain MRI. The patient’s MRI very clearly shows Hydrocephalus. The same is segmented and shown in Fig. 13. Figure 14 shows a segment of benign development and 15 shows a cancerous development which are again successfully segmented by the proposed model.

The data on which testing is done is clinical data of the original patients. As the patient's details and data cannot be shared the author's cannot upload the data in the repository. As soon as the research completes, a benchmark dataset will be created and uploaded in public domain so that researchers can access it.

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Data availability

The research work is a part of PhD thesis. Data and code will be uploaded on GitHub once the thesis is awarded. Due to university rules, data and code cannot be shared at this.

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Authors and Affiliations

  1. Computer Science and Engineering, Uttaranchal Institute of Technology, Uttarakhand Technical University, Dehradun, 248001, Uttarakhand, India

    Dev Baloni

  2. Computer Science and Engineering, G B Pant Engineering College, Uttarakhand Technical University, Pauri Garhwal, Uttarakhand, India

    Shashi Kant Verma

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  1. Dev Baloni
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Contributions

B-Map is the first model which can segment any foreign object in the brain. The proposed methods to convert the image from RGB to grey and pre-processing are designed by the authors to help Fuzzy to understand the WM, GM, and CSF. The range of input and output is not limited to 0 and 1 as is the case up until now. Our pre-processing and range of membership function helps the model to segment the images accurately.

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Correspondence to Dev Baloni.

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Baloni, D., Verma, S.K. B-Map: a fuzzy-based model to detect foreign objects in a brain. Med Biol Eng Comput 59, 1659–1672 (2021). https://doi.org/10.1007/s11517-021-02367-1

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