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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
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A scatter correction method for contrast-enhanced dual-energy digital breast tomosynthesis
Yihuan Lu1, Boyu Peng, Beverly A Lau
1Department of Electrical & Computer Engineering, Stony Brook University, NY 11794 USA.
Physics in Medicine and Biology
|August 4, 2015
Summary
A new scatter correction (SC) algorithm for contrast-enhanced dual energy digital breast tomosynthesis (CE-DE-DBT) significantly improves image quality by reducing artifacts. This patient-specific method enhances tumor visibility and iodine quantitation accuracy without additional hardware or dose.
Area of Science:
- Medical Physics
- Radiological Imaging
- Image Processing
Background:
- Scatter degrades image quality in contrast-enhanced dual energy digital breast tomosynthesis (CE-DE-DBT).
- This scatter causes cupping artifacts and inaccurate iodine quantitation, potentially masking lesions.
- Existing scatter correction methods have limitations in clinical applicability or require additional hardware/dose.
Purpose of the Study:
- To develop and validate a patient-specific scatter correction (SC) algorithm for CE-DE-DBT.
- To improve image quality by reducing scatter-induced artifacts and enhancing lesion conspicuity.
- To enable accurate iodine quantitation in CE-DE-DBT.
Main Methods:
- An empirical, patient-specific scatter correction algorithm was developed for CE-DE-DBT.
- The algorithm interpolates scatter data and uses scatter-to-primary-ratios (SPR) derived from phantom measurements.
- Validation was performed using breast-emulating phantoms and a clinical CE-DE-mammographic patient image.
Main Results:
- The SC algorithm achieved approximately 5% error in SPR computation compared to measured values.
- Reconstructed images showed significant reduction in cupping artifacts, improving lesion visibility.
- Iodine quantitation accuracy was independent of phantom thickness after scatter correction.
- A clinical case demonstrated improved visualization of a peripherally located tumor masked by artifacts without SC.
Conclusions:
- The proposed patient-specific SC algorithm effectively reduces scatter artifacts in CE-DE-DBT.
- This method enhances diagnostic accuracy by improving lesion conspicuity and iodine quantitation.
- The algorithm is clinically feasible, requiring no extra hardware or radiation dose, and is easily transferable.
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