Advanced Computing for Image-Guided Intervention
Special issue on Elsevier Neurocomputing
http://www.journals.elsevier.com/neurocomputing/call-for-papers/advanced-computing-for-image-guided-intervention/
Call for Paper:
In the past years, the rapidly growing area of image-guided intervention
has dramatically changed the way how a typical surgery is carried out in an
operation room. We have witnessed that traditional open surgery is
gradually replaced by minimally invasive or non-invasive procedures. In
comparison with conventional open surgeries, this new type of procedures
has advantages of shorter patient recovery times, greater patient comfort,
and lower risk of complications.
Imaging is the key to the image-guided intervention, involving
pre-operative planning, intra-operative execution, post-operative
assessment and verification. It becomes essential to support both diagnosis
and therapy. To achieve successful interventions, usually
multi-disciplinary knowledge and techniques are required such as physics,
chemistry, electronics, mechatronics, software, and signal/image
processing. Especially, signal/image processing and computing plays an
increasingly important role, enabling the presentation of reliable and
accurate information to the physician. In the past twenty years, this field
has been greatly expanded from the developments of low-level processing
techniques, such as signal filtering and enhancement, to the medium-level
image registration and fusion, segmentation and motion tracking, further to
the inventions of high-level signal/image interpretation or classification
techniques. Examples include tissue classification/characterization from
different imaging modalities. Such advanced techniques assist the physician
to understand better the information and offers valuable inputs for the
decision making.At the same time, we have observed a trend in emerging
imaging technologies in new clinical applications, such as embedded imaging
sensors within in-body catheters, which offers new perspectives in the
whole processing of navigation, tracking and visualization.
This special issue aims at capturing the latest advances of the research
community working on image-guided intervention. We are soliciting original
contributions and encouraging the work for (1) novel fundamental
techniques, and (2) showcasing robust systems with emerging applications.
Topics of interest include, but are not limited to:
* Advanced signal/image processing algorithms for navigation, tracking and
visualization
* New algorithm design for real-time imaging and information extraction
* Image registration & fusion from multiple imaging sources and/or images
from different stages during the intervention
* Model-based image segmentation, 3D modeling and visualization
* Signal/image processing in new clinical applications
* Signal/image processing with emerging imaging modalities
* Signal/image transformation or feature extraction for improved clinical
understanding.
* Database support for algorithm validation and/or training
* Signal/image classification and interpretation, e.g. based on machine
learning or pattern classification
* Emerging applications using medical imaging techniques
Important Dates:
Submission of full papers31. May, 2013
Notification to authors 15. Oct, 2013
Publication dataTBD
Submission of Manuscripts
Prospective authors should visit
http://www.elsevier.com/journals/neurocomputing/0925-2312/guide-for-authors
for information on paper submission. Authors must submit their papers
electronically by using online manuscript submission at:
http://ees.elsevier.com/neucom/ .
To ensure that all manuscripts are correctly included into the special
issue, it is important that authors select the acronym "ACIGI" of this
special issue when they reach the "Article Type" step in the submission
process.
Guest Editors:
Dr. Fei Zuo
Philips Research,
Eindhoven, The Netherlands
fei.zuo@philips.com
Dr. Jungong Han
Civolution Technology,
Eindhoven, The Netherlands
jungonghan77@gmail.com
Prof. Pingkun Yan
Chinese Academy of Sciences,
Xi’an, China
pingkun@ieee.org
Dr. Hans van Assen
Eindhoven University of Technology,
Eindhoven, The Netherlands
h.c.v.assen@tue.nl
Dr. Kenji Suzuki
The University of Chicago,
Chicago, USA
suzuki@uchicago.edu
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