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A survey on brain tumor detection techniques for MR images

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Abstract

One of the most crucial tasks in any brain tumor detection system is the isolation of abnormal tissues from normal brain tissues. Interestingly, domain of brain tumor analysis has effectively utilized the concepts of medical image processing, particularly on MR images, to automate the core steps, i.e. extraction, segmentation, classification for proximate detection of tumor. Research is more inclined towards MR for its non-invasive imaging properties. Computer aided diagnosis or detection systems are becoming challenging and are still an open problem due to variability in shapes, areas, and sizes of tumor. The past works of many researchers under medical image processing and soft computing have made noteworthy review analysis on automatic brain tumor detection techniques focusing segmentation as well as classification and their combinations. In the manuscript, various brain tumor detection techniques for MR images are reviewed along with the strengths and difficulties encountered in each to detect various brain tumor types. The current segmentation, classification and detection techniques are also conferred emphasizing on the pros and cons of the medical imaging approaches in each modality. The survey presented here aims to help the researchers to derive the essential characteristics of brain tumor types and identifies various segmentation/classification techniques which are successful for detection of a range of brain diseases. The manuscript covers most relevant strategies, methods, their working rules, preferences, constraints, and their future snags on MR image brain tumor detection. An attempt to summarize the current state-of-art with respect to different tumor types would help researchers in exploring future directions.

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Notes

  1. Life threatening brain tumor compresses/displaces brain tissues to make room for the growing mass. Tumor can occur in any body part hampering the normal working of the system but is fatal when arise in brain. Different types of brain tumors exist varying in shapes, sizes, and/or positions which have to be dealt accordingly [63]. The abnormal tumors can be clubbed as primary and secondary brain tumors that, based on their characteristics even get streamlined further. Primary tumors are formed when cancer tissues initiates and stays at the same place as well as position. The secondary (or metastatic) tumors are those which spread to other body parts from where it is emerged. As per the terminology of radiologists, primary tumors is either benign (slow growing, less aggressive, and noncancerous) or malignant (rapid growing, life threatening, and cancerous). In addition to these primary information, the treatment planning depends on grade and tissue cell information which is usually collected during a process called biopsy. Tissue cell type identifies those cells that had given rise to the tumor and tumor grade estimates its aggressiveness. Tumors often have different grades at various stages of their growth [15, 96].

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Authors and Affiliations

  1. Computer Science & Engineering Department, Thapar Institute of Engineering & Technology, Patiala, India

    Prabhjot Kaur Chahal & Shreelekha Pandey

  2. Department of Computer Science & Engineering Department, School of Engineering & Applied Sciences, Bennett University, Greater Noida, India

    Shivani Goel

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  1. Prabhjot Kaur Chahal
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Chahal, P.K., Pandey, S. & Goel, S. A survey on brain tumor detection techniques for MR images. Multimed Tools Appl 79, 21771–21814 (2020). https://doi.org/10.1007/s11042-020-08898-3

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