Proceedings IEEE International Symposium on Biomedical Imaging
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Rapid MR image acquisition in the presence of background gradients
- Trang 725-728
Image acquisition in magnetic resonance imaging (MRI) is based on the
application of external gradients to traverse the 2D Fourier domain of the
object, known as k-space. This model holds up very well provided the underlying
magnetic field is highly homogeneous, however, this is often not the case,
particularly for higher field MRI. The constant component of magnetic field
inhomogeneity can lead t...
#Magnetic resonance imaging #Magnetic fields #Image reconstruction #Equations #Distortion #Biomedical engineering #Spirals #Image analysis #Magnetic analysis #Image quality
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
List mode reconstruction for PET with motion compensation: a simulation study
- Trang 413-416
Motion artifacts can be a significant factor that limits the image quality in
high-resolution PET. Surveillance systems have been developed to track the
movements of the subject during a scan. Development of reconstruction algorithms
that are able to compensate for the subject motion will increase the potential
of PET. In this paper we present a list mode likelihood reconstruction algorithm
with t...
#Positron emission tomography #Motion compensation #Image reconstruction #Reconstruction algorithms #Computer simulation #Image quality #Surveillance #Tracking #Detectors #Event detection
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models
- Trang 165-168
In this paper we summarize our results for two classes of hierarchical
multi-scale models that exploit contextual information for detection of
structure in mammographic imagery. The first model, the hierarchical pyramid
neural network (HPNN), is a discriminative model which is capable of integrating
information either coarse-to-fine or fine-to-coarse for microcalcification and
mass detection. The ...
#Biomedical imaging #Context modeling #Hip #Image analysis #Medical diagnostic imaging #Neural networks #Biomedical engineering #Image coding #Robustness #Object detection
Classifying convex sets for vessel detection in retinal images
- Trang 269-272
We present a method to detect vessels in images of the retina. Instead of
relying on pixel classification, as many detection algorithms do, we propose a
more natural representation for elongated structures, such as vessels. This new
representation consists of primitives called affine convex sets. On these convex
sets we apply the classification step. The reason for choosing this approach is
two-fo...
#Retina #Eigenvalues and eigenfunctions #Image edge detection #Pixel #Reflection #Diabetes #Retinopathy #Performance evaluation #Kernel
A statistical model for cryo electron microscope images and 3-D reconstruction and experimental design [spherical viruses]
- Trang 673-676
A statistical model for cryo electron microscope images is described. 3-D
reconstruction and experimental design methods based on the model are
demonstrated. Advantages of this approach to 3-D reconstruction include that
minimal prior information, only particle symmetry and radii, is required.
#Electron microscopy #Three dimensional displays #Design for experiments #Viruses (medical) #Image reconstruction #Particle scattering #Fourier transforms #Design engineering #Signal reconstruction #Proteins
Infrared tissue imaging at on-the-spot laser delivery using an all-optical-waveguide transmitting system
- Trang 281-284
We present experimental results on mid-infrared thermal imaging of micro-scale
tissue area irradiated by an all-optical-waveguide laser delivery system. The
infrared transmitting system is based on a novel and simple laser delivery
technique that includes two key optical elements: a grazing-incidence-based
uncoated hollow taper used for direct infrared laser-to-fiber coupling, and a
tissue-activat...
#Infrared imaging #Optical imaging #Free electron lasers #Fiber lasers #Laser modes #Biomedical optical imaging #Optical coupling #Optical sensors #Optical fibers #Laser theory
Quantitative analysis of cellular shape and motility with improved active contours
- Trang 859-862
Quantitative studies of cellular motility and morphology require a method to
segment and track individual cells in videomicroscopy data. We present an active
contour method adapted to address important difficulties of cellular imaging.
Detection of low contrast pseudopods is facilitated by using an edge map based
on the average intensity deviation field. Separation of cells in contact is
facilitat...
#Shape #Active contours #Image edge detection #Image segmentation #Equations #Cells (biology) #Morphology #Immune system #Oncology #Microscopy
Optical imaging for the detection of cervical cancers in vivo
- Trang 816-819
The objective of our research is the development of fast, noninvasive automated
optical technologies for the detection of the molecular-specific signatures of
cervical precancers. Potential technologies are evaluated using a five-part
paradigm including biological plausibility, technical feasibility, intermediate
outcomes, patient acceptance, and societal outcomes. Results of ongoing clinical
tria...
#Optical imaging #Cancer detection #Cervical cancer #In vivo #Biomedical optical imaging #Clinical trials #Fluorescence #Reflectivity #Spectroscopy #Biological tissues
Thực tế ảo trong hình ảnh vi sinh học Dịch bởi AI
- Trang 879-882
Kính hiển vi huỳnh quang gần đây đã cho phép các nhà sinh học và nhà nghiên cứu
y sinh thu thập các tập dữ liệu 3D phụ thuộc theo thời gian của các đối tượng
sinh học, chẳng hạn như tế bào và mô. Việc trực quan hóa khoa học có thể cung
cấp các trình bày trực quan về các đặc điểm cấu trúc của các tập dữ liệu này.
Bài báo này đề cập đến vai trò của thực tế ảo trong việc hiểu biết về những
trình bày ...
#Virtual reality #Microscopy #Data visualization #Biomedical imaging #Cells (biology) #Biology #Biological cells #Computer graphics #Proteins #Biological processes