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ISBI
2004
IEEE
15 years 1 months ago
Incremental Activation Detection in fMRI Series Using Kalman Filtering
We propose a new detection algorithm for functional magnetic resonance imaging (fMRI) data. Our basic idea is to use an extended Kalman filter (EKF) to fit a general linear model ...
Alexis Roche, Jean-Baptiste Poline, Pierre-Jean La...
ISBI
2004
IEEE
15 years 1 months ago
A Deformable Brodmann Area Atlas
Functional MRI studies commonly refer to activation patterns as being localized in specific Brodmann areas, referring to Brodmann's divisions of the human cortex based on cyt...
Paul Rasser, Philip Ward, Patrick Johnston, Paul M...
ISBI
2004
IEEE
15 years 1 months ago
Bone Model Morphing for Enhanced Surgical Visualization
We propose a novel method for reconstructing a complete 3D model of a given anatomy from minimal information. This reconstruction provides an appropriate intra-operative 3D visual...
Kumar T. Rajamani, Martin Styner, Sarang C. Joshi
ISBI
2004
IEEE
15 years 1 months ago
Image-Guidance for Cardiac Surgery Using Dynamic Autostereoscpic Display System
An autostereoscopic display and analysis system has been developed to aid the development of three-dimensional (3-D) cardiac imaging for use during minimally invasive cardiac surg...
Hongen Liao, Nobuhiko Hata, Takeyoshi Dohi
ISBI
2004
IEEE
15 years 1 months ago
A Method for Reconstructing Label Images From a Few Projections, as Motivated by Electron Microscopy
Our aim is to produce a tessellation of space into small voxels and, based on only a few tomographic projections of an object, assign to each voxel a label that indicates one of t...
Hstau Y. Liao, Gabor T. Herman
ISBI
2004
IEEE
15 years 1 months ago
Detection of Bronchovascular pairs on HRCT Lung Images Through Relational Learning
The identification of bronchovascular pairs on High Resolution Computer Tomography (HRCT) images provides valuable diagnostic information in patients with suspected airway disease...
Mithun Nagendra Prasad, Arcot Sowmya
ISBI
2004
IEEE
15 years 1 months ago
Anatomical Guided Segmentation with Non-Stationary Tissue Class Distributions in an Expectation-Maximization Framework
High quality segmentation of brain MR images is a challenging task. To deal with this problem many automatic segmentation methods rely on atlas information of anatomical structure...
Kilian M. Pohl, W. Eric L. Grimson, Sylvain Bouix,...
ISBI
2004
IEEE
15 years 1 months ago
Robust Unsupervised Tissue Classification in MR Images
A general framework for performing robust, unsupervised tissue classification in magnetic resonance images is presented. Tissue classification is formulated as an estimation probl...
Dzung L. Pham, Jerry L. Prince