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Registration of x-ray mammograms and three-dimensional speed of sound images of the female breast
- Source :
- SPIE Proceedings.
- Publication Year :
- 2010
- Publisher :
- SPIE, 2010.
-
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.
- Subjects :
- Image fusion
Modality (human–computer interaction)
medicine.diagnostic_test
business.industry
Computer science
media_common.quotation_subject
Cancer
medicine.disease
Ultrasound Tomography
Lesion
Breast cancer
Speed of sound
medicine
Mammography
Contrast (vision)
Computer vision
Tomography
Artificial intelligence
medicine.symptom
Ultrasonography
business
media_common
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- SPIE Proceedings
- Accession number :
- edsair.doi...........d87a141b67e5e36e88ab9b42abda9794
- Full Text :
- https://doi.org/10.1117/12.843454