X-RAY CT APPARATUS AND HIGH-QUALITY IMAGE GENERATION DEVICE

To provide an X-ray CT apparatus that includes a learned model generated by acquiring one or more learning datasets from one pass of imaging without increasing exposure of a subject, and performs machine learning using the acquired learning set.SOLUTION: A learned model is a model after learning in...

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Bibliographic Details
Main Authors GOTO TAIGA, KOBAYASHI KANA
Format Patent
LanguageEnglish
Japanese
Published 24.11.2023
Subjects
CALCULATING
COMPUTING
COUNTING
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Summary:To provide an X-ray CT apparatus that includes a learned model generated by acquiring one or more learning datasets from one pass of imaging without increasing exposure of a subject, and performs machine learning using the acquired learning set.SOLUTION: A learned model is a model after learning in which a low-quality image is input data and a high-quality image is training data. The low-quality image and the high-quality image are obtained on the basis of the same learning measurement data or learning projection data obtained by logarithmically transforming the learning measurement data. The low-quality image is a CT image reconstructed from partial data obtained by dividing the learning measurement data or the learning projection data, and the high-quality image is a CT image obtained by reconstructing the learning projection data.SELECTED DRAWING: Figure 3 【課題】被検者の被ばくを増やすことなく、１回の撮影から１組以上の学習データセットを取得し、取得した学習セットにより機械学習を行って生成した学習済みモデルを備えたＸ線ＣＴ装置を提供する。【解決手段】学習済みモデルは、低画質画像を入力データとし、高画質画像を教師データとして学習済みのモデルである。低画質画像および高画質画像は、同一の学習用計測データ、または、学習用計測データを対数変換した学習用投影データに基づいて得られたものである。低画質画像は、学習用計測データまたは学習用投影データを分割した一部のデータから再構成したＣＴ画像であり、高画質画像は、学習用投影データを再構成したＣＴ画像である。【選択図】図３
Bibliography:Application Number: JP20220078043