Automated low-contrast pattern recognition algorithm for magnetic resonance image quality assessment.

Purpose: Low contrast (LC) detectability is a common test criterion for diagnostic radiologic quality control (QC) programs. Automation of this test is desirable in order to reduce human variability and to speed up analysis. However, automation is challenging due to the complexity of the human visual perception system and the ability to create algorithms that mimic this response.

Safety and MRI artifact evaluation at 1.5 T of metallic mounting sheath of a marking clip inadvertently deployed at stereotactic biopsy.

Objective: The purpose of our study was to assess the MRI risk factors for the patient after an unusual case of inadvertent deployment of the mounting sheath of a metallic clip used at stereotactic breast biopsy.

Materials And Methods: We evaluated the materials for ferromagnetic properties, heating, and artifacts.

Results: Our analysis showed significant deflection and prominent susceptibility artifacts of the sheath at 1.