Work

Multi-slice 2D MR imaging: automatic assessment of image quality

Year: 2011

Type: article

Abstract: We describe a method for the automatic quality assessment of multi-slice 2D MRIs with FLAIR, T2, or PD contrast. Quality measures are derived by analyzing the air background, which can be used to sensitively detect typical motion artifacts. Validated on 422 brain datasets, quality indices agree with expert ratings with high sensitivity and specificity (>85%). This technique can greatly improve clinical workflow, suggesting when to repeat low-quality scans, thus increasing chances for higher diagnosis accuracy.

Source: Infoscience (Ecole Polytechnique Fédérale de Lausanne)

Authors: Bénédicte Mortamet, Matt A. Bernstein, Clifford R. Jack, Jean‐Philippe Thiran, Gunnar Krueger

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W46656840

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