scholarly journals Small bowel cancer diagnosis: role of nuclear magnetic resonance

2015 ◽  
Vol 9 (3) ◽  
Author(s):  
Alessandro Morotti ◽  
Dario Gned ◽  
Leonardo Di Martino ◽  
Claudia Vaccheris ◽  
Salvatore Lia ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Small Bowel ◽  
High Sensitivity ◽  
Modern Medicine ◽  
Bowel Cancer ◽  
Computed Tomography Scan ◽  
Tomography Scan ◽  
Nuclear Magnetic

The diagnosis of small intestine tumors is challenging. Even in the era of modern medicine, standard approaches including echography, computed tomography-scan and conventional endoscopy are unable to reveal small bowel lesions. Video-capsule has substantially improved the evaluation of small bowel; however this procedure cannot be proposed to all patients and in particular to those experiencing intestine sub-occlusion. Nuclear magnetic resonance (NRM) of the abdomen is an additional diagnostic approach that offers high sensitivity in the identification of small bowel lesions. Here, we describe a case of small bowel neoplasia indentified with NRM of the abdomen.

scholarly journals A New Hybrid Inversion Method for 2D Nuclear Magnetic Resonance Combining TSVD and Tikhonov Regularization

2021 ◽  
Vol 7 (2) ◽  
pp. 18
Author(s):  
Germana Landi ◽  
Fabiana Zama ◽  
Villiam Bortolotti
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Tikhonov Regularization ◽  
Large Scale ◽  
Regularization Parameter ◽  
High Sensitivity ◽  
Inversion Method ◽  
Nmr Relaxometry ◽  
Value Decomposition ◽  
Nuclear Magnetic

This paper is concerned with the reconstruction of relaxation time distributions in Nuclear Magnetic Resonance (NMR) relaxometry. This is a large-scale and ill-posed inverse problem with many potential applications in biology, medicine, chemistry, and other disciplines. However, the large amount of data and the consequently long inversion times, together with the high sensitivity of the solution to the value of the regularization parameter, still represent a major issue in the applicability of the NMR relaxometry. We present a method for two-dimensional data inversion (2DNMR) which combines Truncated Singular Value Decomposition and Tikhonov regularization in order to accelerate the inversion time and to reduce the sensitivity to the value of the regularization parameter. The Discrete Picard condition is used to jointly select the SVD truncation and Tikhonov regularization parameters. We evaluate the performance of the proposed method on both simulated and real NMR measurements.

scholarly journals Role of Propionates in Substrate Binding to Heme Oxygenase fromNeisseria meningitidis: A Nuclear Magnetic Resonance Study

Biochemistry ◽  
2012 ◽  
Vol 51 (36) ◽  
pp. 7054-7063 ◽  
Author(s):  
Dungeng Peng ◽  
Li-Hua Ma ◽  
Kevin M. Smith ◽  
Xuhong Zhang ◽  
Michihiko Sato ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Heme Oxygenase ◽  
Substrate Binding ◽  
Nuclear Magnetic Resonance Study ◽  
Magnetic Resonance Study ◽  
Nuclear Magnetic
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