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Abstract #2449

An informed approach for protocol selection for clinical prostate MRI

Chitresh Bhushan1, Shailendra Bhushan2, Muhan Shao1, Dattesh Shanbhag3, and Arnaud Guidon2
1GE HealthCare Research, Niskayuna, NY, United States, 2GE HealthCare, Waukesha, WI, United States, 3GE HealthCare, Bengaluru, India

Synopsis

Keywords: Prostate, AI/ML Software, Scan Planning

Motivation: Optimal protocol selection is key to achieve high-quality diagnostic images. Less-experienced technologist often have to repeat acquisition, leading to wasted scan-time.

Goal(s): Demonstrate an approach that can inform or alert technologist of risk of low-SNR in high-resolution image, before the high-resolution images are acquired; thus, reducing time wastage due to repeats.

Approach: Leverage patient-specific anatomical descriptors that are derived from localizer images to learn its relationship to quality of acquired images.

Results: We find statistically significant relationship between estimated SNR and body-contour distance. Based on our analysis, we recommend alerting technologist of low-SNR risk in prostate when body-contour distance >140mm.

Impact: The study demonstrates that image-quality of high-resolution image can be reliably predicted in-advance using descriptors derived from patient's localizer images. This will be useful for alerting technologist to make informed choice for protocol selection.

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Keywords