International Journal of Biomedical Imaging

Cone-Beam Composite-Circling Scan and Exact Image Reconstruction for a Quasi-Short Object

Exact Interior Reconstruction with Cone-Beam CT

Recent Advances in Molecular Imaging

A Context-Sensitive Active Contour for 2D Corpus Callosum Segmentation

Application of Blind Deblurring Reconstruction Technique to SPECT Imaging

Mathematics in Biomedical Imaging

A Feature-Selective Independent Component Analysis Method for Functional MRI

Improved Diagnostics Using Polarization Imaging and Artificial Neural Networks

The Advantage of PET and CT Integration in Examination of Lung Tumors

Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging

Clustering-Based Linear Least Square Fitting Method for Generation of Parametric Images in Dynamic FDG PET Studies

A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography

Molecular Image Segmentation Based on Improved Fuzzy Clustering

Magnetic Field Distribution and Signal Decay in Functional MRI in Very High Fields (up to 9.4 T) Using Monte Carlo Diffusion Modeling

Experimental Study on Bioluminescence Tomography with Multimodality Fusion

International Journal of Biomedical Imaging

Table of Contents

Table of Contents: 2007

Cone-Beam Composite-Circling Scan and Exact Image Reconstruction for a Quasi-Short Object

Exact Interior Reconstruction with Cone-Beam CT

Recent Advances in Molecular Imaging

A Context-Sensitive Active Contour for 2D Corpus Callosum Segmentation

Application of Blind Deblurring Reconstruction Technique to SPECT Imaging

Mathematics in Biomedical Imaging

A Feature-Selective Independent Component Analysis Method for Functional MRI

Improved Diagnostics Using Polarization Imaging and Artificial Neural Networks

The Advantage of PET and CT Integration in Examination of Lung Tumors

Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging

Clustering-Based Linear Least Square Fitting Method for Generation of Parametric Images in Dynamic FDG PET Studies

A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography

Molecular Image Segmentation Based on Improved Fuzzy Clustering

Magnetic Field Distribution and Signal Decay in Functional MRI in Very High Fields (up to 9.4 T) Using Monte Carlo Diffusion Modeling

Experimental Study on Bioluminescence Tomography with Multimodality Fusion