Computer-aided Diagnosis in Brain MR Imaging-A Step Towards Automatic Lesion Interpretation

Abstract- The ever-increasing stream of
images and other information makes heavy
demands on the radiologists. Magnetic
Resonance Imaging (MRI), because of its
superior soft tissue differentiation characteristics
along with high spatial resolution and contrast
is proved to be an important tool in the clinical
and surgical environment. In this patient is not
exposed to any harmful ionizing radiations.
Brain MRIs may be used to assess disorders such
as HIV infection of the brain, stroke, head injury,
coma, Alzheimer disease, tumors and multiple
sclerosis. Radiologists examine the Brain MR
Images and based on visual interpretation of the
films along with pathological reports, identify
the presence of lesions. The large volume of
MRI data to be analyzed with limited number
of radiologists is labor intensive and costly task
which may lead to inaccuracy in interpretation
when the number of cases is more. This demands
a need for automated systems for analysis
and classification of different medical images.
Computer assistance has already proved its
value and will undoubtedly play a greater role
in the future.
Keywords : Magnetic Resonance Imaging
(MRI), Computer-aided Diagnosis (CAD).
I. INTRODUCTION
Medical imaging has contributed significantly
to progress in medicine since the discovery of
x-rays in 1895 by W C Roentgen. The imaging
modalities like Ultrasonography, Computed
Tomography (CT), Magnetic Resonance
Imaging (MRI) and Digital Radiography have
been developed since then. Over the period of
last 50 years tremendous growth has been seen
in the field of diagnostic imaging [1].