Application of “R” Machine Learning for Magnetic Resonance Relaxometry Data Representation and Classification of Human Brain Tumours

2021 ◽  
pp. 269-288
Author(s):  
Michael O. Dada ◽  
Bamidele O. Awojoyogbe
Keyword(s):  
Machine Learning ◽  
Magnetic Resonance ◽  
Human Brain ◽  
Brain Tumours ◽  
Data Representation ◽  
Human Brain Tumours

Automated classification of human brain tumours by neural network analysis using in vivo H magnetic resonance spectroscopic metabolite phenotypes

Neuroreport ◽  
1996 ◽  
Vol 7 (10) ◽  
pp. 1597-1600 ◽  
Author(s):  
Jussi-Pekka Usenius ◽  
Sakari Tuohimetsä ◽  
Pauli Vainio ◽  
Mika Ala-Korpela ◽  
Yrjö Hiltunen ◽  
...  
Keyword(s):  
Neural Network ◽  
Magnetic Resonance ◽  
Network Analysis ◽  
Human Brain ◽  
Brain Tumours ◽  
Automated Classification ◽  
Neural Network Analysis ◽  
Human Brain Tumours

In vivo magnetic resonance imaging and 31P spectroscopy of large human brain tumours at 1.5 tesla

1988 ◽  
Vol 29 (1) ◽  
pp. 77-82 ◽  
Author(s):  
C. Thomsen ◽  
K. E. Jensen ◽  
E. Achten ◽  
O. Henriksen
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Human Brain ◽  
Brain Tumours ◽  
Resonance Imaging ◽  
Human Brain Tumours

Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours

2013 ◽  
Vol 34 (14) ◽  
pp. 1734-1747 ◽  
Author(s):  
Albert Vilamala ◽  
Paulo J.G. Lisboa ◽  
Sandra Ortega-Martorell ◽  
Alfredo Vellido
Keyword(s):  
Human Brain ◽  
Matrix Factorization ◽  
Brain Tumours ◽  
Human Brain Tumours ◽  
Non Negative Matrix Factorization

In Vivo Magnetic Resonance Imaging and 31P Spectroscopy of Large Human Brain Tumours at 1.5 Tesla

1988 ◽  
Vol 29 (1) ◽  
pp. 77-82 ◽  
Author(s):  
C. Thomsen ◽  
K. E. Jensen ◽  
E. Achten ◽  
O. Henriksen
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Human Brain ◽  
Brain Tumours ◽  
Surface Coil ◽  
Normal Brain ◽  
Resonance Imaging ◽  
Before And After ◽  
Human Brain Tumours

31P MR spectroscopy of human brain tumours is one feature of magnetic resonance imaging. Eight patients with large superficial brain tumours and eight healthy volunteers were examined with 31P spectroscopy using an 8 cm surface coil for volume selection. Seven frequencies were resolved in our spectra. The spectra from patients with brain tumours showed a great scatter, but generally they overlapped those obtained in normal brain tissue. No characteristic pattern of the spectra was seen in the tumours. One patient with a metastasis from a small cell carcinoma of the lung was examined before and after chemotherapy. The spectra showed considerable changes during chemotherapy. It is concluded that 31P spectroscopy using surface coils is of limited value for tumour characterization, but may add useful information in monitoring the effect of chemotherapy.

Preprocessing MRS Information for Classification of Human Brain Tumours

2012 ◽  
pp. 29-49 ◽  
Author(s):  
C. J. Arizmendi ◽  
A. Vellido ◽  
E. Romero
Keyword(s):  
Magnetic Resonance ◽  
Brain Tumours ◽  
Measurement Techniques ◽  
Diagnostic Classification ◽  
Resonance Spectroscopy ◽  
Non Invasive ◽  
Imaging And Spectroscopy ◽  
Human Brain Tumours ◽  
Low Prevalence

Brain tumours show a low prevalence as compared to other cancer pathologies. Their impact, both in individual and social terms, far outweighs such low prevalence. Their anatomical specificity also makes them difficult to explore and treat. The use of biopsies is limited to extreme cases due to the risks involved in the surgical procedure, and non-invasive measurements are the standard for diagnostic exploration. The usual measurement techniques come in the modalities of imaging and spectroscopy. In this chapter, the authors analyze magnetic resonance spectroscopy (MRS) data from an international database and illustrate the importance of data preprocessing prior to diagnostic classification.

scholarly journals In vivo magnetic resonance imaging and31P spectroscopy of large human brain tumours at 1.5 tesla

1988 ◽  
Vol 29 (1) ◽  
pp. 77-82
Author(s):  
C. Thomsen ◽  
K. E. Jensen ◽  
E. Achten ◽  
O. Henriksen
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Human Brain ◽  
Brain Tumours ◽  
Resonance Imaging ◽  
Human Brain Tumours
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