This volume contains original submissions on the development and application of molecular imaging computing. The editors invited authors to submit high-quality contributions on a wide range of topics including, but not limited to:
• Image Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and other Molecular Imaging Modalities
• Molecular Imaging Enhancement
• Data Analysis of Clinical & Pre-clinical Molecular Imaging
• Multi-Modal Image Processing (PET/CT, PET/MR, SPECT/CT, etc.)
• Machine Learning and Data Mining in Molecular Imaging.
Molecular imaging is an evolving clinical and research discipline enabling the visualization, characterization and quantification of biological processes taking place at the cellular and subcellular levels within intact living subjects. Computational methods play an important role in the development of molecular imaging, from image synthesis to data analysis and from clinical diagnosis to therapy individualization.
This work will bring readers from academia and industry up to date on the most recent developments in this field.
Author(s): Fei Gao, Kuangyu Shi, Shuo Li (eds.)
Series: Lecture Notes in Computational Vision and Biomechanics 22
Edition: 1
Publisher: Springer International Publishing
Year: 2015
Language: English
Pages: 205
Tags: Signal, Image and Speech Processing; Human Physiology; Computer Imaging, Vision, Pattern Recognition and Graphics; Biophysics and Biological Physics
Front Matter....Pages i-vii
Front Matter....Pages 1-1
Computational Methods for Molecular Imaging....Pages 3-14
Fuzzy Connectedness Image Co-segmentation for HybridPET/MRI and PET/CT Scans....Pages 15-24
PET/MRI/VCT: Restoration of Virtual CT from Transmission Scan on PET/MRI Using Joint-Anisotropic Diffusion....Pages 25-33
Large Scale Simplex Optimisation to Accelerate Kinetic Analysis....Pages 35-42
Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction....Pages 43-51
Joint Direct Motion Estimation/Kinetic Images Reconstruction from Gated PET Data....Pages 53-62
The Effect of Mouth Motion on the Attenuation Correction in Neurological PET Studies....Pages 63-69
Dual Estimation of Activity Maps and Kinetic Parameters for Dynamic PET Imaging ....Pages 71-79
Time-Activity Curve Based Sinogram Decomposition for Streak Artifacts Reduction in Dynamic PET Reconstruction....Pages 81-89
Front Matter....Pages 91-91
4-D PET-MR with Volumetric Navigators and Compressed Sensing....Pages 93-101
Robust Feature Selection to Predict Lung Tumor Recurrence....Pages 103-112
Region-Based Data-Driven Intensity Normalization for Group Comparison of Functional Brain Images....Pages 113-122
A Reaction-Diffusion Simulation Model of [ \(^{18}\) F]FDG PET Imaging for the Quantitative Interpretation of Tumor Glucose Metabolism....Pages 123-137
Generation of MR-Based Attenuation Correction Map of PET Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue from Single Short-TE MR Imaging Modality....Pages 139-147
Query by Image of Brain SPECT Database....Pages 149-156
Age-Related Glucose Metabolism Changes in Brain....Pages 157-196
Investigation of Single- Versus Joint-Modality PET-MR Registration for 18F-Florbetapir Quantification: Application to Alzheimer’s Disease....Pages 197-205
