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3D ultrasound computer tomography: Hardware setup, reconstruction methods and first clinical results
- Source :
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 873:59-65
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- A promising candidate for improved imaging of breast cancer is ultrasound computer tomography (USCT). Current experimental USCT systems are still focused in elevation dimension resulting in a large slice thickness, limited depth of field, loss of out-of-plane reflections, and a large number of movement steps to acquire a stack of images. 3D USCT emitting and receiving spherical wave fronts overcomes these limitations. We built an optimized 3D USCT, realizing for the first time the full benefits of a 3D system. The point spread function could be shown to be nearly isotropic in 3D, to have very low spatial variability and fit the predicted values. The contrast of the phantom images is very satisfactory in spite of imaging with a sparse aperture. The resolution and imaged details of the reflectivity reconstruction are comparable to a 3 T MRI volume. Important for the obtained resolution are the simultaneously obtained results of the transmission tomography. The KIT 3D USCT was then tested in a pilot study on ten patients. The primary goals of the pilot study were to test the USCT device, the data acquisition protocols, the image reconstruction methods and the image fusion techniques in a clinical environment. The study was conducted successfully; the data acquisition could be carried out for all patients with an average imaging time of six minutes per breast. The reconstructions provide promising images. Overlaid volumes of the modalities show qualitative and quantitative information at a glance. This paper gives a summary of the involved techniques, methods, and first results.
- Subjects :
- Physics
Point spread function
Nuclear and High Energy Physics
medicine.medical_specialty
Image fusion
medicine.diagnostic_test
business.industry
02 engineering and technology
Iterative reconstruction
021001 nanoscience & nanotechnology
01 natural sciences
Imaging phantom
Data acquisition
0103 physical sciences
medicine
Medical physics
3D ultrasound
Computer vision
Depth of field
Tomography
Artificial intelligence
0210 nano-technology
business
010301 acoustics
Instrumentation
Subjects
Details
- ISSN :
- 01689002
- Volume :
- 873
- Database :
- OpenAIRE
- Journal :
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
- Accession number :
- edsair.doi...........59c5e8f562a07f72219fd7cee1c41015
- Full Text :
- https://doi.org/10.1016/j.nima.2017.07.019