JP2018513703A - 医療撮像検出器 - Google Patents
医療撮像検出器 Download PDFInfo
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Abstract
Description
a)対象に対して第1の撮像モダリティ検査及び第2の撮像モダリティ検査を実行するステップと、
b)医療撮像検出器を用いて第1の撮像モダリティの第1の画像データ及び第2の撮像モダリティの第2の画像データを取得するステップと、
を有する。
Claims (14)
- 第1のセンサ構成と、
第2のセンサ構成と、
少なくとも1つの基板構造と、
を有する医療撮像検出器において、
前記第1のセンサ構成が、第1の撮像モダリティに属する第1のタイプの画像データを提供し、
前記第2のセンサ構成が、第2の撮像モダリティに属する第2のタイプの画像データを提供し、
前記第1の撮像モダリティが、X線撮像モダリティであり、前記第2の撮像モダリティが、非X線撮像モダリティであり、
前記第1のセンサ構成が、第1の撮像領域を規定する第1の周縁線内に配置された1又は複数の第1のセンサセグメントを有し、
前記第2のセンサ構成が、第2の撮像領域を規定する第2の周縁線内に配置された1又は複数の第2のセンサセグメントを有し、
前記第1の撮像領域及び前記第2の撮像領域が、少なくとも部分的に重複し、前記1又は複数の第1のセンサセグメント及び前記1又は複数の第2のセンサセグメントが、前記少なくとも1つの基板構造上に配置される、
検出器。 - 前記第2のセンサセグメントが、
可視光センサ、
紫外光センサ、
赤外光センサ、及び
ハイパースペクトルセンサ、
のグループの少なくとも1つとして提供される光センサである、請求項1に記載の検出器。 - 前記第2のセンサセグメントが、
可聴音センサ、
超音波センサ、及び
インフラサウンドセンサ、
のグループの少なくとも1つとして提供される音響センサである、請求項1乃至2のいずれか一項に記載の検出器。 - 前記第2のセンサセグメントが、
テラヘルツ放射線センサ、及び
ギガヘルツ放射線センサ、
のグループの少なくとも1つとして提供される放射線センサである、請求項1乃至3のいずれか一項に記載の検出器。 - 前記検出器が、第3のセンサ構成を有し、
前記第3のセンサ構成が、前記少なくとも1つの基板構造上に配置される1又は複数の第3のセンサセグメントを有し、前記第3のセンサセグメントが、
テレメトリ送受信器、
ボディエリアネットワーク送受信器、
電場センサ、
磁場センサ、
姿勢センサ、
加速度センサ、
動きセンサ、及び
回転センサ、
のグループの少なくとも1つとして提供される非撮像センサである、請求項1乃至4のいずれか一項に記載の検出器。 - 前記第2のセンサ構成が、前記第1の撮像領域の外周に配置される、請求項1乃至5のいずれか一項に記載の検出器。
- 前記第1のセンサセグメント及び前記第2のセンサセグメントが、共通の撮像領域においてインタリーブされる、請求項1乃至6のいずれか一項に記載の検出器。
- 二重撮像領域において、前記第1のセンサセグメント及び前記第2のセンサセグメントの少なくとも一部が、共通の撮像領域に対する二重撮像情報を提供するように重複して配置される、請求項1乃至7のいずれか一項に記載の検出器。
- 前記第1のセンサ構成及び前記第2のセンサ構成が、前記少なくとも1つの基板構造の反対側に配置される、請求項1乃至8のいずれか一項に記載の検出器。
- 請求項1乃至9のいずれか一項に記載の医療撮像検出器と、
第1の撮像源と、
を有する医療撮像システムにおいて、
前記第1の撮像源が、前記医療撮像検出器の前記第1のセンサ構成により検出されるべき第1のタイプの放射線としてX線放射線を提供するX線源である、
システム。 - 前記システムが、第2の撮像源を有し、
前記第2の撮像源が、前記医療撮像検出器の前記第2のセンサ構成により検出されるべき信号を提供し、
前記第2の撮像源が、
光源、
音響源、及び
放射線源、
のグループの少なくとも1つとして提供される、
請求項10に記載のシステム。 - a)第1の撮像モダリティ検査及び第2の撮像モダリティ検査を対象に対して実行するステップと、
b)医療撮像検出器を用いて前記第1の撮像モダリティの第1の画像データ及び前記第2の撮像モダリティの第2の画像データを取得するステップと、
を有する医療撮像方法において、
前記第1の撮像モダリティが、X線撮像モダリティであり、前記第2の撮像モダリティが、非X線撮像モダリティであり、前記第1の画像データが、第1の撮像領域において取得され、前記第2の画像データが、第2の撮像領域において取得され、前記第1の撮像領域及び前記第2の撮像領域が、少なくとも部分的に重複し、1又は複数の第1のセンサセグメント及び1又は複数の第2のセンサセグメントが、少なくとも1つの基板構造上に配置される、
方法。 - 請求項1乃至11のいずれか一項に記載の装置を制御するコンピュータプログラムにおいて、処理ユニットにより実行される場合に、請求項12に記載の方法ステップを実行するコンピュータプログラム。
- 請求項13に記載のプログラムを記憶したコンピュータ可読媒体。
Applications Claiming Priority (3)
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EP15155322 | 2015-02-17 | ||
EP15155322.9 | 2015-02-17 | ||
PCT/EP2016/052211 WO2016131647A1 (en) | 2015-02-17 | 2016-02-03 | Medical imaging detector |
Publications (3)
Publication Number | Publication Date |
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JP2018513703A true JP2018513703A (ja) | 2018-05-31 |
JP2018513703A5 JP2018513703A5 (ja) | 2019-03-14 |
JP6927880B2 JP6927880B2 (ja) | 2021-09-01 |
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US (1) | US10539682B2 (ja) |
EP (1) | EP3259616A1 (ja) |
JP (1) | JP6927880B2 (ja) |
CN (1) | CN107250842B (ja) |
WO (1) | WO2016131647A1 (ja) |
Cited By (1)
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JP6391004B2 (ja) * | 2014-09-03 | 2018-09-19 | パナソニックIpマネジメント株式会社 | 水耕栽培装置 |
WO2016150888A1 (en) | 2015-03-20 | 2016-09-29 | Koninklijke Philips N.V. | Fall-back solution for uncertain regions in mrcat images |
US10823858B2 (en) * | 2018-01-26 | 2020-11-03 | General Electric Company | Hybrid X-ray detector structure |
CN111134705B (zh) * | 2020-01-21 | 2023-10-13 | 上海奕瑞光电子科技股份有限公司 | 一种放射线图像探测器及其制作方法 |
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JP6927880B2 (ja) | 2021-09-01 |
US10539682B2 (en) | 2020-01-21 |
WO2016131647A1 (en) | 2016-08-25 |
EP3259616A1 (en) | 2017-12-27 |
US20180024253A1 (en) | 2018-01-25 |
CN107250842B (zh) | 2020-09-18 |
CN107250842A (zh) | 2017-10-13 |
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