Registration of Cardiac SPECT CT Data Through Weighted Intensity Co occurrence Priors 1st Edition by Christoph Guetter, Matthias Wacker, Chenyang Xu, Joachim Hornegger ISBN 9783540757573

Registration of Cardiac SPECT CT Data Through Weighted Intensity Co occurrence Priors 1st Edition by Christoph Guetter, Matthias Wacker, Chenyang Xu, Joachim Hornegger – Ebook PDF Instant Download/Delivery. 9783540757573
Full download Registration of Cardiac SPECT CT Data Through Weighted Intensity Co occurrence Priors 1st Edition after payment

Product details:

ISBN 10: 
ISBN 13: 9783540757573
Author: Christoph Guetter, Matthias Wacker, Chenyang Xu, Joachim Hornegger

The introduction of hybrid scanners has greatly increased the popularity of molecular imaging techniques. Many clinical applications benefit from combining complementary information based on the precise alignment of the two modalities. In case the alignment is inaccurate, then this crucial assumption often made for subsequent processing steps will be violated. However, this violation may not be apparent to the physician. In CT-based attenuation correction (AC) for cardiac SPECT/CT data, critical misalignments between SPECT and CT can lead to spurious perfusion defects. In this work, we focus on increasing the accuracy of rigid volume registration of cardiac SPECT/CT data by using prior knowledge. A new weighting scheme for an intensity co-occurrence prior is introduced to assure accurate and robust alignment in the local heart region. Experimental results demonstrate that the proposed method outperforms mutual information registration and shows robustness across a selection of learned distributions acquired from 15 different patients.

Registration of Cardiac SPECT CT Data Through Weighted Intensity Co occurrence Priors 1st Table of contents:

• Introduction
  1.1 Motivation and Background
  1.2 Importance of Accurate Registration in Cardiac Imaging
  1.3 Challenges in Registration of SPECT and CT Data
  1.4 Role of Intensity Co-occurrence Priors in Image Registration
  1.5 Key Contributions and Objectives of the Paper
  1.6 Structure of the Paper

• Preliminaries
  2.1 Overview of SPECT/CT Imaging for Cardiac Applications
  2.2 Fundamentals of Image Registration
  2.3 Common Methods in Image Registration: Rigid and Non-Rigid Transformations
  2.4 Intensity Co-occurrence Matrices and Their Role in Image Analysis
  2.5 Previous Work on SPECT/CT Registration and Prior-Based Approaches

• Methodology
  3.1 SPECT and CT Data Acquisition Protocols
  3.2 Image Preprocessing for SPECT/CT Data Registration
  3.3 The Concept of Weighted Intensity Co-occurrence Priors
  3.4 Mathematical Formulation for Co-occurrence Priors in Registration
  3.5 Incorporating Priors in Registration Frameworks
  3.6 Optimization of Registration Parameters Using Intensity Priors

• Registration Algorithm
  4.1 Algorithm Design for SPECT/CT Registration
  4.2 Transformation Models: Rigid, Affine, and Non-Rigid Approaches
  4.3 Weighted Intensity Co-occurrence Priors in the Cost Function
  4.4 Minimizing the Registration Error Using Priors
  4.5 Implementation Details and Computational Considerations

• Experimental Results
  5.1 Description of the Dataset and Experimental Setup
  5.2 Evaluation Metrics for Registration Accuracy
  5.3 Comparison of Prior-Based Registration with Traditional Methods
  5.4 Visual and Quantitative Analysis of Registration Results
  5.5 Sensitivity Analysis: Performance in Different Cardiac Regions and Modalities

• Applications in Cardiac Imaging
  6.1 Role of Accurate Registration in Cardiac SPECT/CT Imaging
  6.2 Applications in Myocardial Perfusion Imaging and Quantification
  6.3 Enhancing the Precision of Cardiac Motion Analysis
  6.4 Impact on Diagnosis and Treatment Planning for Cardiac Disease
  6.5 Integration with Other Imaging Modalities and Machine Learning for Enhanced Analysis

• Discussion
  7.1 Insights from Using Weighted Intensity Co-occurrence Priors in Registration
  7.2 Strengths and Limitations of the Proposed Registration Method
  7.3 Impact of Different Types of Priors on Registration Accuracy
  7.4 Computational Complexity and Real-Time Feasibility
  7.5 Challenges in Translating to Clinical Practice and Multi-Center Studies

People also search for Registration of Cardiac SPECT CT Data Through Weighted Intensity Co occurrence Priors 1st:

    
registration of cardiac spect/ct data through weighted
    
cardiac spect/ct
    
cardiac spect/ct protocol
    
spect heart dataset
    
cardiac spect