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(06/29/2009)
The Division of Medical Imaging Physics (DMIP) is seeking applicants for
several Postdoctoral Research Fellow positions that are immediately
available in the follow areas.
1. PET/CT and SPECT/CT
Imaging
2. X-ray CT Imaging
3. Ultrasound
Imaging for Image-Guided Therapy
4.
High-Speed Computing for Medical Image Reconstruction
5. Molecular and
Multi-Modality Preclinical Imaging
For more information about DMIP and the
positions, please refer to the website
http://dmip.rad.jhmi.edu/
Successful applicants will join a division
currently consisting of more than 30 researchers actively involved in
medical imaging physics and engineering research. Computational and
instrumentation laboratory facilities are available. Projects are funded by
government, foundation, and industrial sources.
Applicants
should have degrees in electrical engineering, physics, computer science,
medical physics or a closely related field. Relevant experience and skills
in physics, mathematics, modeling, image reconstruction techniques,
instrumentation, computer programming and/or the specific imaging modality,
are essential. Good communication and writing skills and a willingness to
work in a multidisciplinary collaborative environment are required.
Applications should include a cover letter, 3
references, and a recent curriculum vitae. For information about the
application process, contact LaVahn Otey (lotey1@jhmi.edu).
Johns Hopkins University is an equal opportunity employer.
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Ultrasound Imaging for Image-Guided Therapy
The primary initial focus of the project will be in the
development and implementation of novel ultrasound imaging techniques for
image-guided therapy. The candidate will have excellent collaborative
opportunities with a diverse group of multidisciplinary researchers from
medical robotics, medical imaging, image processing, computational
mechanics, image modeling, and analysis; as well as with a diverse pool of
clinical collaborators. Primary research interactions will take place within
the division of medical imaging physics and secondary interactions within
Engineering Research Center for Computer Integrated Surgical Systems and
Technology (www.cisst.org) and the new Laboratory for Computational Sensing
and Robotics (lcsr.jhu.edu), together with collaborating clinical
departments at the Johns Hopkins Medical School.
Successful candidate would have the following
qualifications:
PhD degree in
Engineering, Computer Science or a closely related field.
Research experience in the
integration of image-guided interventional systems.
Research experience in
ultrasound imaging.
For more
information about the position, please contact Emad Boctor, Ph.D. (E-mail:
eboctor@jhmi.edu)
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X-ray CT Imaging
The research group aims to develop novel x-ray CT
imaging methods for each of the three major revolutions occurring in the
field: Time-resolved four-dimensional cardiac CT imaging, energy-resolved CT
imaging with photon counting x-ray detector (PCXD), and C-arm CT imaging for
interventional radiology. The cardiac project is to develop methods to
estimate and compensate for the motion of the heart during the image
reconstruction process. The PCXD project is to develop methods using the
novel PCXD to reduce the image noise and/or to identify the tissue type of
the object. The C-arm CT project is to develop methods to quantify the
perfusion of the liver for interventional tumor oncology. The projects will
take place at our research lab, the Johns Hopkins Hospitals, and an
instrumentation laboratory. Our collaborators in academia and industry have
various expertise such as mathematicians, engineers, physicists, and
physicians.
Successful candidate would have the following
qualifications:
PhD degree in Electrical
Engineering, Physics, Computer Science, Medical Physics, or a closely related field.
Experience and skills in computer programming,
mathematics, and/or instrumentation.
For more information about the position, please contact
Ken Taguchi, Ph.D. (E-mail:
ktaguchi@jhmi.edu).
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Molecular and
Multi-Modality Imaging
The DMIP has a long history of molecular imaging research, including single
photon emission computed tomography (SPECT) and positron emission tomography
(PET). Active research projects include development of simulation tools
including computational models of human anatomy and physiology and Monte
Carlo simulation methods, development of 3D and 4D analytical and iterative
image reconstruction methods with models of the image formation process,
optimization of image acquisition and reconstruction methods, and task-based
image evaluation using human and numerical observers using applied to both
simulated and clinical data. There are research projects in multi-modality
imaging techniques and instrumentation including PET/CT, SPECT/CT, SPECT/MR
and SPECT/US. Other active research projects include development of
instrumentation, system optimization, data acquisition techniques, image
reconstruction methods, image evaluation and small animal imaging studies
using microCT, and small animal PET and SPECT imaging systems.
Successful candidate would have the following qualifications:
PhD degree in
Physics, Engineering, or a closely related field.
Experience and skills in
mathematics, physics, engineering, instrumentation and computer programming
For more information about the position, please contact, Benjamin M. W.
Tsui, Ph.D. (E-mail: btsui1@jhmi.edu).
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High-speed computing for medical Image reconstruction
This project involves the development of
libraries for fast tomographic reconstruction using hardware accelerators
including multi-core CPUs, GPUs or FPGAs. Our Division maintains a computer
cluster with ~160 processor cores for medical imaging physics research.
However, this provides insufficent processing power for some research
projections including x-ray CT reconstruction that model the physics of
image generation and incorporate object motion. Development of tomographic
reconstruction libraries that use one or more of the above mentioned
hardware platforms will enable the development of innovative,
computationally intensive reconstruction algorithms that would be otherwise
impractical.
Successful candidate would have the
following qualifications:
PhD degree in
computer science, Engineering, or a closely related field.
Experience and skills in computer programming and mathematics
Prior
experience in GPU/FPGA programming and familiarity with a hardware
programming environment and language is desirable
For more information about the
position, please contact, Benjamin M. W. Tsui, Ph.D. (E-mail:
btsui1@jhmi.edu).
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