Proceedings Article10.1117/12.843454
Registration of x-ray mammograms and three-dimensional speed of sound images of the female breast
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TL;DR: A method to evaluate the clinical applicability of three-dimensional speed of sound images by automatically registering the images with the corresponding X-ray mammograms, e.g. allows a greater understanding of tumor depiction in these new images.
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Abstract: Breast cancer is the most common type of cancer among women in Europe and North America. The established screening method to detect breast cancer is X-ray mammography, although X-ray frequently provides poor contrast for tumors located within glandular tissue. A new imaging approach is Ultrasound Tomography generating three-dimensional speed of sound images. This paper describes a method to evaluate the clinical applicability of three-dimensional speed of sound images by automatically registering the images with the corresponding X-ray mammograms. The challenge is that X-ray mammograms show two-dimensional projections of a deformed breast whereas speed of sound images render a three-dimensional undeformed breast in prone position. This conflict requires estimating the relation between deformed and undeformed breast and applying the deformation to the three-dimensional speed of sound image. The deformation is simulated based on a biomechanical model using the finite element method. After simulation of the compression, the contours of the X-ray mammogram and the projected speed of sound image overlap congruently. The quality of the matching process was evaluated by measuring the overlap of a lesion marked in both modalities. Using four test datasets, the evaluation of the registration resulted in an average tumor overlap of 97%. The developed registration provides a basis for systematic evaluation of the new modality of three-dimensional speed of sound images, e.g. allows a greater understanding of tumor depiction in these new images.
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Citations
A review of biomechanically informed breast image registration
John H. Hipwell,Vasileios Vavourakis,Lianghao Han,Thomy Mertzanidou,Björn Eiben,David J. Hawkes +5 more
TL;DR: This review describes current research in the field of breast biomechanical modelling and identifies relevant publications where the resulting models have been incorporated into breast image registration and simulation algorithms.
Image fusion of Ultrasound Computer Tomography volumes with X-ray mammograms using a biomechanical model based 2D/3D registration.
TL;DR: A 2D/3D registration method is presented to improve the spatial correspondence and allow direct comparison of the images and investigates the effect of including patient-specific material parameters estimated automatically from USCT images.
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Automatic multimodal 2D/3D image fusion of ultrasound computer tomography and X-ray mammography for breast cancer diagnosis
TL;DR: A fusion methodology is proposed which combines the information of the three USCT image types with the X-ray mammogram via semitransparent overlay images and provides a basis for evaluation of the new imaging device USCT as well as for multimodal diagnosis.
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2D/3D image fusion of x-ray mammograms with speed of sound images: evaluation and visualization
TL;DR: The FEM simulation overcomes the challenge that X-ray mammograms show two-dimensional projections of a deformed breast whereas speed of sound images render a three-dimensional undeformed breast in prone position and proposes a guidance tool for radiologists who may benefit from the combined information.
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•Dissertation
Experimental characterisation of breast tissues and its application to a numerical model of a healthy breast
Calvo Gallego,José Luis +1 more
- 19 Jan 2017
TL;DR: The path that must be followed in the future computational and experimental studies about the breast is provided and the breast adipose tissue can be considered as a unique tissue from the mechanical point of view.
4
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