scholarly journals Early Increases in Breast Tumor Xenograft Water Mobility in Response to Paclitaxel Therapy Detected by Non-Invasive Diffusion Magnetic Resonance Imaging

Neoplasia ◽  
1999 ◽  
Vol 1 (2) ◽  
pp. 113-117 ◽  
Author(s):  
Jean-Philippe Galons ◽  
Maria I. Altbach ◽  
Gillian D. Paine-Murrieta ◽  
Charles W. Taylor ◽  
Robert J. Gillies
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Breast Tumor ◽  
Diffusion Magnetic Resonance Imaging ◽  
Tumor Xenograft ◽  
Water Mobility ◽  
Resonance Imaging ◽  
Non Invasive

scholarly journals Axon morphology is modulated by the local environment and impacts the non-invasive investigation of its structure-function relationship

2020 ◽  
Author(s):  
Mariam Andersson ◽  
Hans Martin Kjer ◽  
Jonathan Rafael-Patino ◽  
Alexandra Pacureanu ◽  
Bente Pakkenberg ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Structure Function ◽  
Conduction Velocity ◽  
Diffusion Magnetic Resonance Imaging ◽  
Resonance Imaging ◽  
Axon Diameter ◽  
Non Invasive ◽  
Structure Function Relationship ◽  
Function Relationship

AbstractAxonal conduction velocity, which ensures efficient function of the brain network, is related to axon diameter. Non-invasive, in vivo axon diameter estimates can be made with diffusion magnetic resonance imaging, but the technique requires 3D validation. Here, high resolution, 3D synchrotron X-ray Nano-Holotomography images of white matter samples from the corpus callosum of a monkey brain reveal that blood vessels, cells and vacuoles affect axonal diameter and trajectory. Within single axons, we find that the variance in diameter and conduction velocity correlates with the mean diameter, contesting the value of precise diameter determination in larger axons. These complex 3D axon morphologies drive previously reported 2D trends in axon diameter and g-ratio. Furthermore, we find that these morphologies bias the estimates of axon diameter with diffusion magnetic resonance imaging and, ultimately, impact the investigation and formulation of the axon structure-function relationship.

scholarly journals Non-invasive diagnostics in fossils - Magnetic Resonance Imaging of pathological belemnites

2005 ◽  
Vol 2 (2) ◽  
pp. 133-140 ◽  
Author(s):  
D. Mietchen ◽  
H. Keupp ◽  
B. Manz ◽  
F. Volke
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Clinical Diagnostics ◽  
Resonance Imaging ◽  
Non Invasive ◽  
Physiological Processes ◽  
Magnetic Resonance Imaging Mri ◽  
Invasive Diagnostics

Abstract. For more than a decade, Magnetic Resonance Imaging (MRI) has been routinely employed in clinical diagnostics because it allows non-invasive studies of anatomical structures and physiological processes in vivo and to differentiate between healthy and pathological states, particularly of soft tissue. Here, we demonstrate that MRI can likewise be applied to fossilized biological samples and help in elucidating paleopathological and paleoecological questions: Five anomalous guards of Jurassic and Cretaceous belemnites are presented along with putative paleopathological diagnoses directly derived from 3D MR images with microscopic resolution. Syn vivo deformities of both the mineralized internal rostrum and the surrounding former soft tissue can be traced back in part to traumatic events of predator-prey-interactions, and partly to parasitism. Besides, evidence is presented that the frequently observed anomalous apical collar might be indicative of an inflammatory disease. These findings highlight the potential of Magnetic Resonance techniques for further paleontological applications.

scholarly journals Semi-automated segmentation of the lateral periventricular regions using diffusion magnetic resonance imaging

MethodsX ◽  
2020 ◽  
Vol 7 ◽  
pp. 101023
Author(s):  
Albert M. Isaacs ◽  
Rowland H. Han ◽  
Christopher D. Smyser ◽  
David D. Limbrick ◽  
Joshua S. Shimony
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Diffusion Magnetic Resonance Imaging ◽  
Automated Segmentation ◽  
Resonance Imaging
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