Clinical applications of diffusion weighted MR imaging: A review

Rajeshkannan, Ramiah; Moorthy, Srikanth; Sreekumar, K; Rupa, Rosita; Prabhu, NK

doi:10.4103/0971-3026.32328

Cited by 18 publications

(20 citation statements)

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“…DWI can detect early ischemia in cerebrovascular accidents and characterize both intracranial infections and brain tumors. 5,6 Because water molecules can diffuse freely and exchange between both extra-and intracellular compartments, the water ADC values reflect a weighted result of the contributions from both of them. 7 It also means that discrimination between intra-and extracellular contributions by standard DWI would be difficult.…”

mentioning

confidence: 99%

The Effect of Age and Cerebral Ischemia on Diffusion-Weighted Proton MR Spectroscopy of the Human Brain

Zheng

Liu²,

Fang³

et al. 2011

AJNR Am J Neuroradiol

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confidence: 99%

The Effect of Age and Cerebral Ischemia on Diffusion-Weighted Proton MR Spectroscopy of the Human Brain

Zheng

Liu²,

Fang³

et al. 2011

AJNR Am J Neuroradiol

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“…This sequence produces MRI based quantitative maps of the microscopic, natural displacements of water molecules that occur in the brain tissues as a part of the physical diffusion process. Water molecules are used as probes that reveal microscopic details about the architecture of both healthy and unhealthy brain tissues [19,20]. The rate of water diffusion in the brain tissue is a direct function of its physiological state, and impacted by brain pathologies, such as cerebral infarction.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Cerebral Infarct Signal Intensity on Diffusion-Weighted MR Images Using Frequency Domain Techniques

Shanbhag¹,

Udupi²,

Patil³

et al. 2012

AJBE

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Early and accurate diagnosis of cerebral infarction plays a vital role in the implementation of successful treatment and thereby improving the quality of life. Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) is a highly sensitive tool for the detection of early changes in the water diffusion that characterizes various brain pathologies, largely, cerebral infarctions. Studies were performed on a set of Diffusion Weighted (DW) images of the human brain (in the axial plane) to find the relationship between the light intensity High Frequency Power (HFP) values and the time course of cerebral infarction, and to present evidence in defining the stages of cerebral infarction. Analysis of the results show that the difference in the light intensity HFP values on the DW images for the subjects with cerebral infarction compared to their contralateral normal hemisphere, were highly significant (p < 0.01) in the areas of the brain, where there was a high incidence of infarction. The relative increase in the light intensity HFP values (RHFP) for the subjects with cerebral infarction were in the range of (153.06 -1780.43) times compared to their corresponding HFP values on the contralateral normal hemisphere. The observed RHFP values increased progressively with time and were at the peak for the examinations between 1 to 4 days and thereafter reduced to reach the minimum after 15 days. There was a negative correlation (r = -0.74) observed between the RHFP values and the time stage of cerebral infarction. The evolution of the RHFP values observed subsequent to infarction is suggestive that they can be supportive in understanding the developmental stages of infarction and can be helpful in predicting the stage of infarction. The quantitative changes in the light intensity HFP values can be assessed to derive information about the early changes taking place in the brain tissue. Further their adoption in clinical diagnosis and treatment of cerebral infarction could be helpful and informative. In conclusion, the proposed method could positively assist the neuro-surgeons for speedy diagnosis and execution of treatment to protect the subjects from additional damage to their brain tissue.

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“…This sequence produces MRI based quantitative maps of microscopic, natural displacements of water molecules that occur in brain tissues as part of the physical diffusion process [12,13]. Water molecules are used as probes that reveal microscopic details about the architecture of both healthy and unhealthy brain tissues [14]. The generalized model for the appearance of ICH on Magnetic Resonance (MR) images attributes the various signal intensity patterns of evolving ICH, to the oxygenation state of hemoglobin and the integrity of the red blood cells [6,15].…”

Section: Introductionmentioning

confidence: 99%

A new method of analysing the intracerebral haemorrhage signal intensity on brain MRI images using frequency domain techniques

Shanbhag¹,

Udupi²,

Patil³

et al. 2013

JBiSE

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Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) has become an established part of neuroimaging and is used to diagnose and characterize several neurologic disorders. Intracerebral Haemorrhage (ICH) is a severe medical condition, which may develop quickly into a life-threatening situation, and thereby requires prompt medical attention. Early and reliable identification of the age of haemorrhage is essential when choosing the correct treatment, and estimating patient's diagnosis and outcome. Diffusion Weighted (DW) images presents a variation in the image signal intensity characteristics relative to the different stages of ICH. In the present paper, an effort is made to document the variation in the image signal intensity characteristics of ICH at evolving stages, for 30 subjects, using High Frequency Power (HFP) parameter. Results showed that the difference in the HFP values on DW images for the subjects with ICH compared to their contralateral normal hemisphere, were highly significant (p < 0.

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Clinical applications of diffusion weighted MR imaging: A review

Cited by 18 publications

References 0 publications

The Effect of Age and Cerebral Ischemia on Diffusion-Weighted Proton MR Spectroscopy of the Human Brain

The Effect of Age and Cerebral Ischemia on Diffusion-Weighted Proton MR Spectroscopy of the Human Brain

Analysis of Cerebral Infarct Signal Intensity on Diffusion-Weighted MR Images Using Frequency Domain Techniques

A new method of analysing the intracerebral haemorrhage signal intensity on brain MRI images using frequency domain techniques

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