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Automatic estimation of glandular tissue loss due to limited reconstruction voxel size in tomographic images of the breast
- Source :
- IWBI
- Publication Year :
- 2018
- Publisher :
- SPIE, 2018.
-
Abstract
- An accurate measurement of the breast glandular fraction, or glandularity, is important for many research and clinical applications, such as breast cancer risk assessment. We propose a method to estimate the loss of glandular tissue detail due to the limited voxel size in tomographic images of the breast. CT images of a breast tissue specimen were acquired using a CdTe single photon counting detector (nominal pixel size of 60 μm) and using a monochromatic synchrotron radiation x-ray beam. Images were reconstructed using a filtered backprojection algorithm at seven different voxel sizes (range 60-420 µm, with a 60 µm step) and twelve groups of Regions of Interest (ROIs) with different percentage and patterns of glandular tissue were extracted. All ROIs within each group contained the same portion of the image (and therefore the same glandular fraction) reconstructed at a different voxel size. The glandular tissue was segmented and the glandularity calculated for all ROIs. A machine learning algorithm was trained on the glandularity values as a function of reconstruction voxel size. After the training was completed, the algorithm could estimate, given a tomographic breast image reconstructed at a given voxel size with a certain glandularity, the increase (or decrease) of glandularity if the same image were reconstructed with a smaller (or larger) voxel dimension. The algorithm was tested on six additional groups of ROIs, resulting in an average relative standard error between the calculated and estimated glandularity of 0.02 ± 0.016.
- Subjects :
- Radiology, Nuclear Medicine and Imaging
Atomic and Molecular Physics, and Optic
Breast CT
breast glandularity
breast phantoms
machine learning
Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
computer.software_genre
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Voxel
Cancer risk assessment
Atomic and Molecular Physics
Nuclear Medicine and Imaging
mental disorders
Electronic
Optical and Magnetic Materials
Photon counting detector
Voxel size
Mathematics
Breast tissue
Pixel
Electronic, Optical and Magnetic Material
Biomaterial
breast phantom
Filtered backprojection
nervous system
030220 oncology & carcinogenesis
Monochromatic color
and Optics
Radiology
computer
Biomedical engineering
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- IWBI
- Accession number :
- edsair.doi.dedup.....24b73741544aee1f83551d96c391681f