Application of DCE-MR Imaging in Classification of Brain Tumors

被引：0

作者：

Trivedi, Munesh C. ^{[1
]}

Prasad, Renu ^{[2
]}

Goyal, Vishal ^{[2
]}

机构：

[1] NIT Agartala, Dept CSE, Jirania, India

[2] GLA Univ, Mathura, India

来源：

ADVANCES IN DATA AND INFORMATION SCIENCES | 2022年 / 318卷

关键词：

Brain tumor; Biopsy; Magnetic resonance imaging; Glioma; Perfusion imaging parameters; Concentartion curve; Tracer kinetic parameters; HIGH-GRADE GLIOMAS; PERFUSION MRI; DIFFUSION;

D O I：

10.1007/978-981-16-5689-7_61

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Magnetic resonance imaging provides the better understanding of tumor heterogeneity due to its non-invasiveness and better soft tissue contrast compared tocomputed tomography and positron emission tomography. Due to its non-invasive behavior it can performed repeatedly. Conventional and advanced imaging sequence such as perfusion MRI i.e. DCE-MRI helps clinician to understand the tumor diagnosis and in treatment planning. Gold standard for glioma classification which is a kind of brain tumor is based on the report which is generated with the help of biopsies. Invasive nature and subjectivity error involved in biopsies motivated the scientist and clinician to look for computer assisted methods inorder to perform precise grading of glioma tumors. This paper presents an overview of DCE MR imaging in the area of glioma grading.

引用

页码：681 / 691

页数：11

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