[Development of CT Pelvimetry Using Deep Learning Based Reconstruction].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi

PMID: 31956183

Abstract

PURPOSE: X-ray pelvimetry is typically performed for the diagnosis of the cephalopelvic disproportion (CPD). The purpose of this study was to assess the utility of new computed tomography (CT) reconstruction "deep learning based reconstruction (DLR) " in ultra-low dose CT pelvimetry.

Authors

Takaaki Kitai

Clinical Radiology Service, Maizuru Kyosai Hospital.
Yasuhiro Hyodo

Clinical Radiology Service, Maizuru Kyosai Hospital.
Hayato Morikawa

Clinical Radiology Service, Maizuru Kyosai Hospital.

Keywords

Cephalopelvic Disproportion Deep Learning Female Humans Japan Pelvimetry Pregnancy Radiation Dosage Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (31956183)

[Development of CT Pelvimetry Using Deep Learning Based Reconstruction].

Abstract

Authors

Keywords

External Resources

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