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Computational Methods for Molecular Imaging

  • Book
  • © 2015

Overview

Editors:
  1. Fei Gao

    1. Siemens Medical Solutions, Knoxville, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Kuangyu Shi

    1. Department of Radiotherapy and Radiooncology, Technical University of Munich, München, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Shuo Li

    1. GE Healthcare and University of Western Ontario, London, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • First book to focus on this topic
  • State of the art in developing subject
  • With implications and information of immediate use for practitioners
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 22)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-vii
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  2. Computational Methods

    1. Front Matter

      Pages 1-1
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    2. Computational Methods for Molecular Imaging

      • Fei Gao, Pengcheng Shi
      Pages 3-14

    3. Fuzzy Connectedness Image Co-segmentation for HybridPET/MRI and PET/CT Scans

      • Ziyue Xu, Ulas Bagci, Jayaram K. Udupa, Daniel J. Mollura
      Pages 15-24

    4. PET/MRI/VCT: Restoration of Virtual CT from Transmission Scan on PET/MRI Using Joint-Anisotropic Diffusion

      • Kuangyu Shi, Xiaoyin Cheng, Nassir Navab, Stefan Foerster, Sibylle I. Ziegler
      Pages 25-33

    5. Large Scale Simplex Optimisation to Accelerate Kinetic Analysis

      • Nicholas Dowson, Paul Thomas, Jye Smith, Olivier Salvado, Stephen Rose
      Pages 35-42

    6. Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction

      • Shadi Albarqouni, Tobias Lasser, Weaam Alkhaldi, Ashraf Al-Amoudi, Nassir Navab
      Pages 43-51

    7. Joint Direct Motion Estimation/Kinetic Images Reconstruction from Gated PET Data

      • Alexandre Bousse, Jieqing Jiao, Kris Thielemans, David Atkinson, Simon Arridge, Sébastien Ourselin et al.
      Pages 53-62

    8. The Effect of Mouth Motion on the Attenuation Correction in Neurological PET Studies

      • Joaquin L. Herraiz, Angel Torrado-Carvajal, Juan A. Hernandez-Tamames, Norberto Malpica
      Pages 63-69

    9. Dual Estimation of Activity Maps and Kinetic Parameters for Dynamic PET Imaging

      • Jingjia Xu, Huafeng Liu, Pengcheng Shi, Fei Gao
      Pages 71-79

    10. Time-Activity Curve Based Sinogram Decomposition for Streak Artifacts Reduction in Dynamic PET Reconstruction

      • Xiaoyin Cheng, Jun Liu, Jakob Vogel, Zhen Liu, Nassir Navab, Sibylle Ziegler et al.
      Pages 81-89

  3. Clinical Applications

    1. Front Matter

      Pages 91-91
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    2. 4-D PET-MR with Volumetric Navigators and Compressed Sensing

      • Stefano Pedemonte, Ciprian Catana, Koen Van Leemput
      Pages 93-101

    3. Robust Feature Selection to Predict Lung Tumor Recurrence

      • Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan
      Pages 103-112

    4. Region-Based Data-Driven Intensity Normalization for Group Comparison of Functional Brain Images

      • Zhiyong Xie, Aijun Zhu, Laigao Chen, Timothy McCarthy
      Pages 113-122

    5. A Reaction-Diffusion Simulation Model of [\(^{18}\)F]FDG PET Imaging for the Quantitative Interpretation of Tumor Glucose Metabolism

      • Qian Wang, Zhen Liu, Sibylle I. Ziegler, Kuangyu Shi
      Pages 123-137

    6. 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

      • Anahita Fathi Kazerooni, Mohammad Hadi A’arabi, Mohammadreza Ay, Hamidreza Saligheh Rad
      Pages 139-147

    7. Query by Image of Brain SPECT Database

      • David S. Wack, Feyza Erenler, Robert Miletich
      Pages 149-156

    8. Age-Related Glucose Metabolism Changes in Brain

      • Xiaoyan Shen, Zhiliang Liu, Zhenghui Hu, Huafeng Liu
      Pages 157-196

    9. Investigation of Single- Versus Joint-Modality PET-MR Registration for 18F-Florbetapir Quantification: Application to Alzheimer’s Disease

      • Liam Cattell, Julia A. Schnabel, Jerome Declerck, Chloe Hutton
      Pages 197-205
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Keywords

About this book

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.

Editors and Affiliations

  • Siemens Medical Solutions, Knoxville, USA

    Fei Gao

  • Department of Radiotherapy and Radiooncology, Technical University of Munich, München, Germany

    Kuangyu Shi

  • GE Healthcare and University of Western Ontario, London, Canada

    Shuo Li

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