Modified local ternary patterns technique for brain tumour segmentation and volume estimation from MRI multi-sequence scans with GPU CUDA machine

Sriramakrishnan, P.; Kalaiselvi, T.; Rangasami, Rajeswaran

doi:10.1016/j.bbe.2019.02.002

Cited by 44 publications

(22 citation statements)

References 34 publications

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“…The volume has even number of slices omitted. Among the remaining five estimators, Cavalieri estimator is the best with less error rate in mm 3 and yield maximum accuracy.…”

Section: Resultsmentioning

confidence: 99%

“…Quantitative results of volume construction estimate by various volume estimators are given in Table 1 and Table 2. Table 1 shows the results of tumor volume for the gold standard in mm 3 . Table 2 shows the results of tumor volume obtained by the proposed method.…”

Section: Resultsmentioning

confidence: 99%

“…There are different types of tumors that exist namely benign and malignant. Benign cells are non-cancerous whereas malignant tumors are cancerous [3]. Tumors can begin in other parts of the body and then spread to the brain which is called secondary.…”

Section: Mr Scanner Follows Nuclear Magnetic Resonance (Nmr)mentioning

confidence: 99%

“…The volume of tumor is measured in the unit of cm 3 or mm 3 of voxels. Varieties of estimators are available to measure the volume of the tumor namely Rectangular estimator, Cavalieri's estimator, Trapezoidal estimator, Parabolic estimator, Simpson's 3/8 estimator, and Durand's estimator [10].…”

Section: B Tumor Volume Estimationmentioning

confidence: 99%

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Reliability of Segmenting Brain Tumor and Finding Optimal Volume Estimator for MR Images of Patients with Glioma’s

Kalaiselvi¹,

Kumarashankar²,

Sriramakrishnan³

2019

IJITEE

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Tumor volume estimation is a significant prognostic part of the Glioma tumor detection. Reliable assessment of Glioma tumor segmentation and volume estimation is a common problem in clinical aspects. We aim to propose a tumor segmentation method by suggesting suitable estimator for MR brain tumor volume construction. Run length algorithm is used to automatic initialize the seed point to the region growing algorithm. Region growing algorithm works with a threshold value using 8 × 8 patches. In this experiment includes thirty BraTS2013 high-grade and low-grade Glioma datasets. Proposed method yield 80.12% of Dice similarity with 6.8% of deviation and 84% of accuracy with 10% of deviation. The proposed work uses six state-of-the-art volume detectors to estimate the size of tumor volume. From the results, Cavalieri’s estimator gives more accurate results with less deviation

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“…The volume has even number of slices omitted. Among the remaining five estimators, Cavalieri estimator is the best with less error rate in mm 3 and yield maximum accuracy.…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Mr Scanner Follows Nuclear Magnetic Resonance (Nmr)mentioning

confidence: 99%

Section: B Tumor Volume Estimationmentioning

confidence: 99%

See 2 more Smart Citations

Reliability of Segmenting Brain Tumor and Finding Optimal Volume Estimator for MR Images of Patients with Glioma’s

Kalaiselvi¹,

Kumarashankar²,

Sriramakrishnan³

2019

IJITEE

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“…FID signal detected by conductive field coil placed around the object helps to obtain three dimensional (3D) gray images. MR image contrasts will controlled by the repetition time (TR) and time to echo (TE) [13] [14]. These parameters produce the sequences namely T1-weighted, T2-weighted, FLAIR and are shown in Fig.…”

Section: Mrimentioning

confidence: 99%

A Role of Medical Imaging Techniques in Human Brain Tumor Treatment

2019

IJRTE

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Early finding and analysis of brain tumor are essential to enhance the surgical planning and thus extend the survival of patients. Medical imaging techniques (MIT’s) are useful to view the internal structure of the brain which makes the medical professional to diagnose abnormal conditions and guide therapeutic procedures. Few MIT’s are handling in the medical industry to identify the brain tumor and each technique has different risks and benefits. The concerning techniques are single photon emission computed tomography (SPECT), computed tomography (CT), positron emission tomography (PET), magnetic resonance imaging (MRI), functional MRI (fMRI), and blood oxygen level dependent (BOLD). This paper presents the importance of MIT’s in brain tumor treatment.

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