Nonlinear Registration Via Displacement Fields

Modersitzki, Jan; Heldmann, Stefan; Papenberg, Nils

doi:10.1016/b978-0-12-397025-1.00300-6

Cited by 2 publications

(1 citation statement)

References 140 publications

(77 reference statements)

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“…Image registration plays a significant role in image analysis, especially in the realm of medical imaging. It can be used to improve the accuracy and reliability of image analysis methods by deforming images into a common reference space [8].…”

Section: Introductionmentioning

confidence: 99%

Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies

Ahmad,

Dahlberg,

Jönsson

et al. 2024

BioMed Eng OnLine

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Background Computed tomography (CT) is an imaging modality commonly used for studies of internal body structures and very useful for detailed studies of body composition. The aim of this study was to develop and evaluate a fully automatic image registration framework for inter-subject CT slice registration. The aim was also to use the results, in a set of proof-of-concept studies, for voxel-wise statistical body composition analysis (Imiomics) of correlations between imaging and non-imaging data. Methods The current study utilized three single-slice CT images of the liver, abdomen, and thigh from two large cohort studies, SCAPIS and IGT. The image registration method developed and evaluated used both CT images together with image-derived tissue and organ segmentation masks. To evaluate the performance of the registration method, a set of baseline 3-single-slice CT images (from 2780 subjects including 8285 slices) from the SCAPIS and IGT cohorts were registered. Vector magnitude and intensity magnitude error indicating inverse consistency were used for evaluation. Image registration results were further used for voxel-wise analysis of associations between the CT images (as represented by tissue volume from Hounsfield unit and Jacobian determinant) and various explicit measurements of various tissues, fat depots, and organs collected in both cohort studies. Results Our findings demonstrated that the key organs and anatomical structures were registered appropriately. The evaluation parameters of inverse consistency, such as vector magnitude and intensity magnitude error, were on average less than 3 mm and 50 Hounsfield units. The registration followed by Imiomics analysis enabled the examination of associations between various explicit measurements (liver, spleen, abdominal muscle, visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), thigh SAT, intermuscular adipose tissue (IMAT), and thigh muscle) and the voxel-wise image information. Conclusion The developed and evaluated framework allows accurate image registrations of the collected three single-slice CT images and enables detailed voxel-wise studies of associations between body composition and associated diseases and risk factors.

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Section: Introductionmentioning

confidence: 99%

Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies

Ahmad,

Dahlberg,

Jönsson

et al. 2024

BioMed Eng OnLine

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Mathematical methods in biomedical imaging

2014

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Biomedical imaging is an important and exponentially growing field in life sciences and clinical practice, which strongly depends on the advances in mathematical image processing. Biomedical data presents a number of particularities such as non-standard acquisition techniques. Thus, biomedical imaging may be considered as an own field of research. Typical biomedical imaging tasks, as outlined in this paper, demand for innovative data models and efficient and robust approaches to produce solutions to challenging problems both in basic research as well as daily clinical routine. This paper discusses typical specifications and challenges of reconstruction and denoising, segmentation, and image registration of biomedical data. Furthermore, it provides an overview of current concepts to tackle the typically ill-posed problems and presents a unified framework that captures the different tasks mathematically

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Nonlinear Registration Via Displacement Fields

Cited by 2 publications

References 140 publications

Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies

Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies

Mathematical methods in biomedical imaging

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