A new single-sagittal-plane deep learning approach for continuous bladder volume monitoring: a feasibility study.

Junhwan Kwon^1,2, Ilseob Song^1,3, Sangeun Park¹, Jongsoo Lee⁴, Yangmo Yoo^1,3,5,6

¹Edgecare Inc., Seoul, Korea.

²Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Korea.

³Medical Solution Institute, Sogang University, Seoul, Korea.

⁴Department of Urology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

⁵Department of Electronic Engineering, Sogang University, Seoul, Korea.

⁶Department of Biomedical Engineering, Sogang University, Seoul, Korea.

PubMed DOI

Abstract

PURPOSE: Conventional ultrasound-based bladder volumetry multiplies three orthogonal diameters and applies a heuristic shape coefficient. This approach requires near-simultaneous transverse and sagittal imaging and is vulnerable to interplane misregistration and coefficient-dependent bias. This study evaluated whether a single sagittal B-mode image can provide accurate, patient-specific bladder vo…

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