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2021 | OriginalPaper | Chapter

Spatial Machines for Heterogeneous MRI Data—A Critical Review

Authors : Zabiha Khan, R. Loganathan

Published in: Smart Technologies for Sustainable Development

Publisher: Springer Singapore

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Abstract

Biomedical Engineering enables better quality of life to the medical conditions of people. Magnetic Field Applications in biological aspects and manipulations of tissue engineering sorted out the diagnostic solutions. MRI has become the potential emerging tool to gain capabilities to overcome obstacles of biomedical field. The Combination of Image Processing in MRI with the ability to produce targets, presents a disruptive technology which affects the criticality of healthcare.

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Literature
1.
go back to reference Niaf E et al. Kernel-based learning from both qualitative and quantitative labels: application to prostate cancer diagnosis based on multiparametric MR imaging Niaf E et al. Kernel-based learning from both qualitative and quantitative labels: application to prostate cancer diagnosis based on multiparametric MR imaging
2.
go back to reference Levy MA et al. Informatics methods to enable sharing of quantitative imaging research data Levy MA et al. Informatics methods to enable sharing of quantitative imaging research data
3.
go back to reference Huang M, Yang W, Wu Y, Jiang J, Chen W, Feng Q. Brain tumor segmentation based on local independent projection-based classification Huang M, Yang W, Wu Y, Jiang J, Chen W, Feng Q. Brain tumor segmentation based on local independent projection-based classification
4.
go back to reference Guo Y et al. Deformable MR prostate segmentation via deep feature learning and sparse patch matching Guo Y et al. Deformable MR prostate segmentation via deep feature learning and sparse patch matching
5.
go back to reference Costouros NG et al. Microarray gene expression analysis of murine tumor heterogeneity defined by dynamic contrast-enhanced MRI Costouros NG et al. Microarray gene expression analysis of murine tumor heterogeneity defined by dynamic contrast-enhanced MRI
6.
go back to reference Lee D, Yoo J, Ye JC. Deep residual learning for compressed sensing MRI Lee D, Yoo J, Ye JC. Deep residual learning for compressed sensing MRI
7.
go back to reference Jeelani H, Martin J, Vasquez F, Salerno M, Weller DS. Image quality affects deep learning reconstruction of MRI Jeelani H, Martin J, Vasquez F, Salerno M, Weller DS. Image quality affects deep learning reconstruction of MRI
8.
go back to reference Sindhu A et al. A survey on detecting brain tumorinmri images using image processing techniques Sindhu A et al. A survey on detecting brain tumorinmri images using image processing techniques
9.
go back to reference Wang G, Li W, Zuluaga MA, Pratt R, Patel PA, Aertsen M, Doel T, David AL, Deprest J, Ourselin S, Vercauteren T. Interactive medical image segmentation using deep learning with image-specific fine tuning Wang G, Li W, Zuluaga MA, Pratt R, Patel PA, Aertsen M, Doel T, David AL, Deprest J, Ourselin S, Vercauteren T. Interactive medical image segmentation using deep learning with image-specific fine tuning
10.
go back to reference Cheng R et al. Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI Cheng R et al. Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI
11.
go back to reference Ravı D, Fabelo H, Callico GM, Yang1 G-Z. Manifold embedding and semantic segmentation intraoperative guidance with hyperspectral brain imaging Ravı D, Fabelo H, Callico GM, Yang1 G-Z. Manifold embedding and semantic segmentation intraoperative guidance with hyperspectral brain imaging
12.
go back to reference Leynes AP, Larson PEZ. Synthetic CT generation using MRI with deep learning: how does the selection of input images affect the resulting synthetic CT? Leynes AP, Larson PEZ. Synthetic CT generation using MRI with deep learning: how does the selection of input images affect the resulting synthetic CT?
Metadata
Title
Spatial Machines for Heterogeneous MRI Data—A Critical Review
Authors
Zabiha Khan
R. Loganathan
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-5001-0_11