Rapid technical advances in medical imaging, including its growing application to
drug/gene therapy and invasive/interventional procedures, have attracted significant
interest in close integration of research in life sciences, medicine, physical sciences
and engineering. This is motivated by the clinical and basic science research requirement
of obtaining more detailed physiological and pathological information about the
body for establishing localized genesis and progression of diseases.
Computed tomography (CT) is the mainstay of
cancer imaging outside of the central nervous
system. Advances in multidetector CT (MDCT)
technology have had a profound impact on its diagnostic
capabilities. Such techniques as multiphase, single breath-hold
imaging, CT angiography (CTA), volume rendering and
virtual colonography owe their success to the development of
multidetector arrays with continuously moving gantries.
Since the advent of magnetic resonance (MR) imaging, systems with amagnetic field
intensity of 1.5 tesla (T) have been deemed the gold standard for different clinical applications
in all body areas. Ongoing advances in hardware and software have made
theseMRsystems increasingly compact, powerful and versatile, leading to the development
of higher magnetic field strength MRsystems (3.0 T) for use in clinical practice
and for research purposes. As usually occurs with a new technology, 3.0 T MR
imaging units will probably follow the same development trends in the years to
Chronic pain and substance abuse are common problems. Each entity represents a significant and
independent burden to the patients affected by them, the healthcare system caring for them, and
society at large supporting them. If the two problems occur together, all of these burdens and their
consequences are magnified. Traditional treatments fail a substantial percentage of even the most
straightforward cases. Clearly, new approaches are required for the most complex of cases.
it is necessary to integrate the information of all the spectral images to classify tissues.
Multi-spectral image processing techniques [1-3] are hence employed to collect spectral
information for classification and of clinically critical values. In this paper, a new
classification approach was proposed, it is called unsupervised Vector Seeded Region
Growing (UVSRG). The UVSRG mainly select seed pixel vectors by means of standard
deviation and relative Euclidean distance.
The field of medical imaging is advancing at a rapid pace. Imaging modalities like
x-ray radiography, x-ray computed tomography (CT), ultrasound, nuclear imaging,
magnetic resonance imaging (MRI), and optical imaging have been used in biology
and medicine to visualize anatomical structures as large as the lung and liver and
as small as molecules. Ultrasound is considered the most cost-effective among them.
It is used routinely in hospitals and clinics for diagnosing a variety of diseases.
Medical imaging has been transformed over the past 30 years by the advent
of computerized tomography (CT), magnetic resonance imaging (MRI), and
various advances in x-ray and ultrasonic techniques. An enabling force behind
this progress has been the (so far) exponentially increasing power of
computers, which has made it practical to explore fundamentally new approaches.
The new state-of-the-art class 423 metro train set is the latest result of advanced
European rail research, producing 56% less CO2 than the 35-year-old vehicle it
Procured by Deutsche Bahn, the new train is a lightweight compared to its predecessor,
weighing only 105 tonnes instead of 140.
Reduced dead weight saves some 25% of speciﬁ c energy consumption, while
regenerative braking accounts for further savings of up to 31%.