Proceedings IEEE International Symposium on Biomedical Imaging
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Các bài báo tiêu biểu
Development of hybrid NIR/MRI imaging system algorithm: use of a-priori information for tumor detection in the female breast
- Trang 657-660
The use of dual modality MRI and near infrared (NIR) optical tomography is under
investigation. It will be shown in this work that accurate structural a-priori
knowledge from the MRI image, together with appropriate constraints on the image
reconstruction can yield useful and accurate images of internal optical property
distributions and that this should help in identifying anomalies within the
br...
#Magnetic resonance imaging #Neoplasms #Optical scattering #Breast #Biomedical optical imaging #Optical modulation #Tomography #Optical imaging #Infrared detectors #Image reconstruction
Array design for ultrasound imaging with simultaneous beams
- Trang 981-984
Line acquisition speed is fundamental to enhancing the field of view and
temporal resolution of real time ultrasonic volumetric (RT3D) imaging systems. A
two-dimensional transducer array design is presented which, based on
simulations, will permit multiple beams to be transmitted simultaneously in the
field while maintaining good signal separation. In addition, each transmit beam
exploits explosos...
#Ultrasonic imaging #Ultrasonic transducers #Parallel processing #Crosstalk #Apertures #Biomedical imaging #Signal resolution #Spatial resolution #Azimuth #Transmitters
Determining the through-plane resolution of strain-encoded MRI
- Trang 919-922
Strain encoded magnetic resonance elastography (SENC MRE) has been proposed for
imaging elastic variation by obtaining images whose intensity directly
represents through-plane strain. It is useful for detecting tumors because
tumors exhibit different elastic properties than the surrounding tissue. SENC
MRE, however, assumes homogeneous tissue elasticity in the through-plane
direction, an assumptio...
#Magnetic resonance imaging #Elasticity #Neoplasms #Magnetic field induced strain #Imaging phantoms #Ultrasonic imaging #Frequency #Mechanical factors #Magnetic resonance #Benign tumors
Learning multispectral texture features for cervical cancer detection
- Trang 169-172
We present a bottom-up approach for automatic cancer cell detection in
multispectral microscopic thin Pap smear images. Around 4,000 multispectral
texture features are explored for cancer cell detection. Using two feature
screening measures, the initial feature set is effectively reduced to a
computationally manageable size. Based on pixel-level screening results,
cancerous regions can thus be det...
#Cervical cancer #Cancer detection #Image segmentation #Feature extraction #Biomedical measurements #Cells (biology) #Biomedical imaging #Image databases #Spatial databases #Robotics and automation
An accurate segmentation method for white blood cell images
- Trang 245-248
A part of our research work on an Automated Cell Count project is described. A
major requirement for this project is an efficient method to segment cell
images. This work presents an accurate segmentation method for an automatic
count of white blood cells. First a simple thresholding approach is applied to
give initial labels to pixels in the blood cell images. The algorithm is based
on priori inf...
#Image segmentation #White blood cells #Cells (biology) #Shape #Image edge detection #Laboratories #Pixel #Lighting #Morphology #Red blood cells
A new convergent MAP reconstruction algorithm for emission tomography using ordered subsets and separable surrogates
- Trang 409-412
We investigate a new, fast and provably convergent MAP reconstruction algorithm
for emission tomography. The new algorithm, termed C-OSEM has its origin in the
alternating algorithm derivation of the well known EM algorithm for emission
tomography. In this re-derivation, the complete data explicitly enters the
objective function as an unknown variable. While the entire complete data gets
updated i...
#Reconstruction algorithms #Tomography #Image reconstruction #Smoothing methods #Bayesian methods #Cost function #Biomedical imaging #Radiology #Physics #Data models
Prior shape models for boundary finding
- Trang 30-33
Prior shape information has proven to be a key component of modeling for
boundary finding when the target objects belong to a class of similar shapes.
Prior shape provides specific constraining information needed in order to
overcome noise, missing boundaries and confusing image information. While a
number of different methods have been proposed for incorporating prior
information, the most natura...
#Probability #Bayesian methods #Optimization methods #Biomedical imaging #Shape measurement #Active shape model #Radiology #Noise shaping #Medical diagnostic imaging #Search methods
On the effectiveness of doubly adaptive estimation for dynamic MRI sequence acquisitions
- Trang 959-962
We present experimentally-acquired MR image sequence reconstruction results and
a review of the recently proposed doubly adaptive temporal update method (DATUM)
for the acquisition of dynamic MRI sequences. The DATUM algorithm is novel in
providing an estimation and tracking framework for both image reconstruction and
the image acquisition inputs. We discuss the difficulty in choosing viable
syste...
#Adaptive estimation #Magnetic resonance imaging #Image reconstruction #Data acquisition #Spatial resolution #Hospitals #Biomedical imaging #Radiology #Image sequences #Production systems
Far-field electrophysiology reflects top-down control
- Trang 395-398
For forty years, much human electrophysiologic thinking has been based on the
concept that EEG data recorded from the scalp following sensory stimulation are
dominated by successive far-field correlates of bottom-up brain sensory
processing, as represented in evoked potential (EP) averages. I will present
evidence for an alternate view that human EEG data are dominated by oscillatory
processes rel...
#Humans #Electroencephalography #Brain modeling #Independent component analysis #Scalp #Frequency synchronization #Signal processing #Monitoring #Electrophysiology #Event detection
Dynamical components analysis of fMRI data
- Trang 915-918
We present a new multivariate analysis method for the analysis of fMRI data.
This method tries to capture the deterministic structure present in the time
series, using either an autoregressive scheme or the knowledge of the
experimental paradigm, so that the interpretation of the spatiotemporal patterns
is achieved in parallel with their detection. In the spatial domain, the
components are made ma...
#Data analysis #Predictive models #Robots #Signal detection #Magnetic resonance imaging #Principal component analysis #Decorrelation #Covariance matrix #Clustering methods #Inference algorithms