Recall Rate Benchmark for Screening Breast MR Imaging in Community Practice

Seidenwurm, David; Breslau, Jonathan

doi:10.1148/radiol.2017172354

Cited by 1 publication

(1 citation statement)

References 5 publications

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“…MRI has many advantages such as being noninvasive, having no radiation damage, and having a multiview section. Thus, breast MRI now becomes more widely used and plays a complementary efficacy [2][3][4][5][6]. In the past, the examination of breast tumor always makes use of the mammogram which is sometimes making it difficult to discern the tumor because of the ointment at the patient's skin before the examination.…”

Section: Introductionmentioning

confidence: 99%

Multiview Contouring for Breast Tumor on Magnetic Resonance Imaging

Chen

Chang

et al. 2019

J Digit Imaging

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The shape and contour of the lesion are shown to be effective features for physicians to identify breast tumor as benign or malignant. The region of the lesion is usually manually created by the physician according to their clinical experience; therefore, contouring tumors on breast magnetic resonance imaging (MRI) is difficult and time-consuming. For this purpose, an automatic contouring method for breast tumors was developed for less burden in the analysis and to decrease the observed bias to help in making decisions clinically. In this study, a multiview segmentation method for detecting and contouring breast tumors in MRI was represented. The preprocessing of the proposed method reduces any amount of noises but preserves the shape and contrast of the breast tumor. The two-dimensional (2D) level-set segmentation method extracts contours of breast tumors from the transverse, coronal, and sagittal planes. The obtained contours are further utilized to generate appropriate three-dimensional (3D) contours. Twenty breast tumor cases were evaluated and the simulation results show that the proposed contouring method was an efficient method for delineating 3D contours of breast tumors in MRI.

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Section: Introductionmentioning

confidence: 99%