Journal of Brain Research

Neuroscience contributes to the development of ability in any human body in the compound of seminal 21 society,
its contents in the remarkable multidisciplinary field, knowing how the brain functions and the systemic nervous
system reaction reacts is essential for the development of any activity be it cognitive or theory physical importance
Ensuring the proper functioning of the brain's functional process is paramount to the longevity of this argue. So, it
makes it necessary to understand how it works.

 Medical images aim to provide adequate structural information to diagnose abnormal conditions and aid in therapeutic procedures. Computed tomography (CT) and Magnetic Resonance Imaging (MRI) are widely used imaging tools for diagnostic purposes and clinical research. These imaging modalities are complementary to each other. However, image quality of CT and MRI greatly varies. For instance, same level of visibility cannot be achieved for white matter displayed on CT and MRI. In 1969, Kurt Rossmann who was a pioneer in modern x-ray imaging research described image quality as that attribute of that image which affects the certainty with which diagnostically useful detail can be detected visually by the radiologist’ [1]. A high-quality image can represent the anatomy of the brain clearly. Quality of an image can be described in terms of contrast, spatial resolution, noise, and artefacts [2]. Contrast is defined as ‘the separation between the darkest and brightest areas of the image’ [3]. In this article, brain tissue contrast exhibited by CT and MRI is discussed in detail. It is important to evaluate the level of contrast provided by CT and MRI for soft and hard tissues of brain, and how human eye perceive these images. An understanding about these concepts helps in choosing the right imaging modality to observe a particular brain tissue.

 Medical images aim to provide adequate structural information to diagnose abnormal conditions and aid in therapeutic procedures. Computed tomography (CT) and Magnetic Resonance Imaging (MRI) are widely used imaging tools for diagnostic purposes and clinical research. These imaging modalities are complementary to each other. However, image quality of CT and MRI greatly varies. For instance, same level of visibility cannot be achieved for white matter displayed on CT and MRI. In 1969, Kurt Rossmann who was a pioneer in modern x-ray imaging research described image quality as that attribute of that image which affects the certainty with which diagnostically useful detail can be detected visually by the radiologist’ [1]. A high-quality image can represent the anatomy of the brain clearly. Quality of an image can be described in terms of contrast, spatial resolution, noise, and artefacts [2]. Contrast is defined as ‘the separation between the darkest and brightest areas of the image’ [3]. In this article, brain tissue contrast exhibited by CT and MRI is discussed in detail. It is important to evaluate the level of contrast provided by CT and MRI for soft and hard tissues of brain, and how human eye perceive these images. An understanding about these concepts helps in choosing the right imaging modality to observe a particular brain tissue.

Conference series LLC Ltd. hosted 28th World Congress on Neurology and Therapeutics during February 28 – March 01, 2019 in Berlin, Germany. The conference was organized around the theme “Novel Integrative Studies of Neuroscience and Neurological Disorders”.

Neurology focuses on broad array of disorders and cure of brain and connecting neurons. According to the latest survey conducted by WHO, it is revealed that Neurological Disorders encompassing Stroke, Alzheimer & Dementia, Epilepsy and many more accounts for more than 12% of deaths worldwide on an average and it is also predicted that the number of disability –adjusted life years vanished due to Neurological disorders are expected to accelerate from 95 million globally in 2015 to 103 million by 2030.Moreover, the worldwide cost of neurological squeal solitary estimated in 2010 was US$ 2.5 trillion and it is assumed that the value will spike to over US$ 6 trillion by 2030. `