Magnetic Resonance Tumor Image Segmentation Method Based on Multimodal Hierarchical Fusion

HomePage >> Journals >> Biotechnology Frontier

Biotechnology Frontier

Biotechnology Frontier (Yearly) is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of biotechnology technology. The main focus of the journal is the academic papers, comments and research review of latest improvement in the fields of Biotechnology technology, microorganism, medicine, agriculture & forestry, edible fungus, light food, environmental protection and related, aiming at... [More] Biotechnology Frontier (Yearly) is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of biotechnology technology. The main focus of the journal is the academic papers, comments and research review of latest improvement in the fields of Biotechnology technology, microorganism, medicine, agriculture & forestry, edible fungus, light food, environmental protection and related, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of electrical theory development for professionals, scholars, researchers and administrative staffs in this field, reflecting the academic front level, promote academic change and foster the development of biotechnology technology.

The journal receives manuscripts written in Chinese or English. As for Chinese papers, the following items in English are indispensible parts of the paper: paper title, author(s), author(s)'affiliation(s), abstract and keywords. If this is the first time you contribute an article to the journal, please format your manuscript as per the sample paper and then submit it into the online submission system. Accepted papers will immediately appear online followed by printed hard copies by Ivy Publisher globally. Therefore, the contributions should not be related to secret. The author takes sole responsibility for his views.

ISSN Print:2327-0837

ISSN Online:2327-0888

Email:bf@ivypub.org

Website: http://www.ivypub.org/bf/

		0
		0

Navigation

News

All articles submitted to this journal are required to be tested by AMLC.

This journal is full-text indexed by Centre Agriculture Bioscience International (CABI), which is one of the world's three major agriculture literature database.

This journal is full-text indexed by CNKI which is the China's most authoritative academic resources database.

Paper Infomation

Magnetic Resonance Tumor Image Segmentation Method Based on Multimodal Hierarchical Fusion

Full Text(PDF, 1183KB)

Author: Rong Chen, Zhan Gao, Yeqin Shao, Changyan Xu

Abstract: Aiming at the problems of sensor noise and slow volume rendering in magnetic resonance images, an improved ray-casting algorithm is proposed to visualize the breast and lesion in Magnetic Resonance Imaging (MRI). First, a linear minimum mean square error (LMMSE) filter is used to denoise the breast magnetic resonance images. Then, in order to improve the algorithm of volume rendering, the ray casting algorithm is improved by using bilinear interpolation operation and ray early termination technology. Finally, the three-dimensional visualization of the breast MRI images is realized based on VTK library. Experiments show that the proposed method can improve the rendering speed of breast MRI images while ensuring image quality, and assist doctors to understand the internal situation of the breast and the condition of the lesions intuitively.

Keywords: Magnetic Resonance Imaging, Volume Rendering, Linear Minimum Mean Square Error, Bilinear Interpolation Operation, Ray Early Termination

References:

[1] CAMPAZ-USUGA P, FONNEGRA R D, MERA C. Quality Enhancement of Breast DCE-MRI Images Via Convolutional Autoencoders [C]//2021 IEEE 2nd International Congress of Biomedical Engineering and Bioengineering (CI-IB&BI). IEEE, 2021: 1-4.

[2] FAN Z, MEI X. Real-time Medical Image Volume Rendering Based on GPU Accelerated Method [C]//2008 International Symposium on Computational Intelligence and Design. IEEE, 2008: 30-33.

[3] LING T, ZHI-YU Q. An improved fast ray casting volume rendering algorithm of medical image [C]//2011 4th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2011: 109-112.

[4] 万兵, 汪利琴, 刘沛武. B/S模式下三维可视化医学影像系统的设计 [J]. 中国医疗设备, 2019, 34(08): 105-107+119.

[5] 宁国玺. 腹盆腔三维可视化系统的设计与实现 [D], 2020: 18-23.

[6] MOHAN J, KRISHNAVENI V, GUO Y. A survey on the magnetic resonance image denoising methods [J]. Biomedical Signal Processing and Control, 2014, 9: 56-69.

[7] SUDEEP P V, PALANISAMY P, KESAVADAS C, et al. Nonlocal linear minimum mean square error methods for denoising MRI [J]. Biomedical Signal Processing and Control, 2015, 20: 125-134.

[8] 尹哲. 医学图像三维重建系统的设计与实现 [D]. 电子科技大学, 2018: 8-12.