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Long-term Culture of Human Breast Cancer Specimens and Their Analysis Using Optical Projection Tomography
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Use of a Total Variation Minimization Iterative Reconstruction Algorithm to Evaluate Reduced Projections during
Tsutomu Gomi1, Yukio Koibuchi2
1School of Allied Health Sciences, Kitasato University, Sagamihara, Kanagawa, Japan.
Biomed Research International
|July 19, 2018
Summary
The adaptive steepest descent projection onto convex sets (ASD-POCS) algorithm effectively preserves contrast in digital breast tomosynthesis, even with fewer projections. This method shows potential for reducing patient radiation doses.
Area of Science:
- Medical Imaging
- Radiology
- Image Reconstruction
Background:
- Digital breast tomosynthesis (DBT) is crucial for early breast cancer detection.
- Reducing radiation exposure during DBT is a significant clinical goal.
- Iterative reconstruction algorithms offer potential for dose reduction.
Purpose of the Study:
- To evaluate the efficacy of the adaptive steepest descent projection onto convex sets (ASD-POCS) algorithm compared to other iterative and analytical methods for dose reduction in DBT.
- To assess the impact of reduced projection numbers on image quality and contrast preservation.
Main Methods:
- Four reconstruction algorithms were evaluated: ASD-POCS, simultaneous algebraic reconstruction technique (SART), filtered back projection (FBP), and maximum likelihood expectation maximization (MLEM).
- Reconstructions were performed using normal (15 projections) and reduced (seven projections) datasets.
- Image quality was assessed using full width at half-maximum (FWHM) for spatial resolution, contrast-to-noise ratio (CNR) with the BR3D Phantom, and mean similarity structural similarity (MSSIM) for contrast preservation in clinical cases.
Main Results:
- The ASD-POCS algorithm demonstrated high contrast-to-noise ratio (CNR) and mean similarity structural similarity (MSSIM) even with a reduced number of projections.
- While spatial resolution (FWHM) showed some deterioration with ASD-POCS and fewer projections, microcalcification size did not significantly impact this change.
- ASD-POCS maintained high contrast preservation irrespective of simulated mass lesion size and projection count.
Conclusions:
- The ASD-POCS algorithm is effective in preserving contrast in digital breast tomosynthesis reconstructions using fewer projections.
- ASD-POCS shows promise as a method to reduce radiation exposure doses for patients undergoing DBT.
- This algorithm could facilitate lower-dose screening protocols without compromising essential image quality for lesion detection.
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