JP6732805B2 - マルチモーダル検出システムおよび方法 - Google Patents
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- 238000001514 detection method Methods 0.000 title claims description 319
- 238000000034 method Methods 0.000 title claims description 21
- 230000005855 radiation Effects 0.000 claims description 163
- 230000005540 biological transmission Effects 0.000 claims description 21
- 238000002441 X-ray diffraction Methods 0.000 claims description 12
- 238000012937 correction Methods 0.000 claims description 10
- 238000001228 spectrum Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 7
- 230000008021 deposition Effects 0.000 claims description 3
- 230000009977 dual effect Effects 0.000 claims description 3
- 230000001678 irradiating effect Effects 0.000 claims description 3
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- 238000010586 diagram Methods 0.000 description 15
- 239000000126 substance Substances 0.000 description 13
- 238000003384 imaging method Methods 0.000 description 10
- 238000013170 computed tomography imaging Methods 0.000 description 6
- 230000004907 flux Effects 0.000 description 5
- 238000005259 measurement Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 230000001427 coherent effect Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
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- 238000012986 modification Methods 0.000 description 2
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- 238000001994 activation Methods 0.000 description 1
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- 238000004364 calculation method Methods 0.000 description 1
- 230000001066 destructive effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
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- 230000002452 interceptive effect Effects 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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Description
Claims (21)
- 被検体を照射する分布式放射源と、
前記分布式放射源の放射線をCT検出用の一方の部分とXRD検出用の他方の部分との2つの部分に分割する前方コリメータと、
前記CT検出を行って前記被検体のCT画像を取得するCT検出機器と、
前記XRD検出を行って前記被検体のXRD画像を取得するXRD検出機器と
を備え、
同一の前記被検体に対する前記CT検出と前記XRD検出が、同時に行われ、前記CT検出の結果であるCT画像と前記XRD検出の結果であるXRD画像により、お互いの補正が行われる
マルチモーダル検出システム。 - 前記マルチモーダル検出システムは、複数の分布式放射源を備えており、各分布式放射源に対応する前方コリメータと、CT検出機器と、XRD検出機器とを備える
請求項1に記載のマルチモーダル検出システム。 - 各前記分布式放射源は、搬送通路枠の内側の少なくとも一部に配置されており、各前記分布式放射源に対応する前方コリメータは、当該分布式放射源と被検体との間に配置されており、対応されるCT検出機器およびXRD検出機器は、被検体が前記前方コリメータと当該対応されるCT検出機器およびXRD検出機器との間に介在するように配置されている
請求項2に記載のマルチモーダル検出システム。 - 各前記分布式放射源は、直線型、円弧型、L字状、U字状、マルチセグメント型のうちの1つから選択される
請求項2に記載のマルチモーダル検出システム。 - 各前記分布式放射源は、複数の放射源焦点を有し、これらの放射源焦点は、独立的に活性化されて放射線を放出する
請求項2に記載のマルチモーダル検出システム。 - 各前記分布式放射源における放射源焦点の活性化形態を制御する分布式放射源制御機器をさらに備える
請求項5に記載のマルチモーダル検出システム。 - 前記複数の分布式放射源の各々は、異なる数量または同じ数量の放射源焦点を有する
請求項5に記載のマルチモーダル検出システム。 - 前記CT検出機器は、
前記CT検出を行ってCTデータを取得する少なくとも1つのCT検出器を備える
請求項1に記載のマルチモーダル検出システム。 - 前記CT検出器は、エネルギーデポジション検出器、デュアルエネルギー検出器、エネルギースペクトル検出器のうちの1つから選択される
請求項8に記載のマルチモーダル検出システム。 - 前記CT検出機器は、
前記CT検出器によって取得されたCTデータを処理して前記CT画像を取得するCTデータプロセッサをさらに備える
請求項8に記載のマルチモーダル検出システム。 - 前記CT検出用の放射線は、扇形束または円錐形束である
請求項1に記載のマルチモーダル検出システム。 - 前記XRD検出用の放射線は、被検体を経由して散乱され、
前記XRD検出機器は、
散乱線から同一の散乱方向を有する放射線を選択する後方コリメータと、 前記後方コリメータを通過して同一の散乱方向を有する放射線を受け取り、XRD散乱データを取得する少なくとも1つのXRD散乱検出器と、を備える
請求項1に記載のマルチモーダル検出システム。 - 前記XRD検出用の放射線は、被検体を通り抜けており、
前記XRD検出機器は、
被検体を通り抜けた放射線を受け取って、XRD透過データを取得する少なくとも1つのXRD透過検出器をさらに備える
請求項12に記載のマルチモーダル検出システム。 - 前記XRD検出機器は、
前記XRD散乱データおよび前記XRD透過データを処理して前記XRD画像を取得するXRDデータプロセッサをさらに備える
請求項13に記載のマルチモーダル検出システム。 - 前記XRD検出用の放射線は、ペンビームである
請求項1に記載のマルチモーダル検出システム。 - 前記XRD検出用の放射線は、扇形に分布または平行に分布される
請求項15に記載のマルチモーダル検出システム。 - 前記一方の部分の放射線は、複数の部分に分割され、これらの複数の部分の放射線は、それぞれ、前記XRD検出に用いられる
請求項1に記載のマルチモーダル検出システム。 - 前記他方の部分の放射線は、複数の部分に分割され、これらの複数の部分の放射線は、それぞれ、前記CT検出に用いられる
請求項1に記載のマルチモーダル検出システム。 - 前記CT検出用の放射線の照射平面と前記XRD検出用の放射線の照射中心平面とは、前記XRD検出と前記CT検出が相互に干渉しないように、一定の偏角を有している
請求項1、17、18の何れか一項に記載のマルチモーダル検出システム。 - 前記XRD検出機器と前記CT検出機器は、お互いの補正が行われるように、前記XR D画像のデータと前記CT画像のデータとを通信する
請求項1に記載のマルチモーダル検出システム。 - 被検体に放射線を照射する分布式放射源を制御するステップと、
前方コリメータにより前記分布式放射源の放射線をCT検出用の一方の部分とXRD検出用の他方の部分との2つの部分に分割するステップと、
CT検出機器により前記CT検出を行って前記被検体のCT画像を取得し、XRD検出機器により前記XRD検出を行って前記被検体のXRD画像を取得し、且つ同一の前記被検体に対する前記CT検出と前記XRD検出とを同時に行うステップと、
前記CT検出の結果であるCT画像と前記XRD検出の結果であるXRD画像により、お互いの補正を行うステップとを含む
マルチモーダル検出方法。
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CN201510958891.6A CN106896120B (zh) | 2015-12-18 | 2015-12-18 | 多模态检测系统和方法 |
PCT/CN2016/094460 WO2017101466A1 (zh) | 2015-12-18 | 2016-08-10 | 多模态检测系统和方法 |
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CN111265231B (zh) * | 2019-04-15 | 2021-08-31 | 清华大学 | 分布式光源ct图像重建方法与系统 |
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US10338011B2 (en) | 2019-07-02 |
WO2017101466A1 (zh) | 2017-06-22 |
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US20170176353A1 (en) | 2017-06-22 |
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JP2018517138A (ja) | 2018-06-28 |
CN106896120A (zh) | 2017-06-27 |
KR20180020143A (ko) | 2018-02-27 |
CA2987815A1 (en) | 2017-06-22 |
AU2016369726A1 (en) | 2017-12-07 |
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KR102033233B1 (ko) | 2019-10-16 |
CA2987815C (en) | 2021-01-05 |
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