## Abstract ## Purpose: To develop and evaluate a computerized segmentation method for breast MRI (BMRI) mass‐lesions. ## Materials and Methods: A computerized segmentation algorithm was developed to segment mass‐like‐lesions on breast MRI. The segmentation algorithm involved: (i) interactive le
Improved Discrimination of Breast Lesions Using Selective Sampling of Segmented MR Images
✍ Scribed by Bashar Issa
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 257 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0968-5243
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
## Abstract A pulse sequence with magnetization transfer as the main contrast mechanism (MT‐FLASH) was developed for improved imaging of breast lesions that requires neither fat suppression nor postprocessing. After optimization of the sequence in phantom and volunteer studies, a clinical pilot stu
## Abstract ## Purpose To evaluate the diagnostic accuracy of a combination of dynamic contrast‐enhanced MR imaging (DCE‐MRI) and diffusion‐weighted MR imaging (DWI) in characterization of enhanced mass on breast MR imaging and to find the strongest discriminators between carcinoma and benignancy.
## Abstract ## Purpose To augment traditional visual data perception of complex multiparametric imaging data sets by adding auditory feedback to improve the delineation of regions of interest (ROIs) in tumor assessment in dynamic contrast‐enhanced (DCE) MRI. ## Materials and Methods In addition