JP4414410B2 - 画像再構成方法 - Google Patents
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- 238000000034 method Methods 0.000 title claims description 73
- 230000000694 effects Effects 0.000 claims description 29
- 230000005855 radiation Effects 0.000 claims description 29
- 238000003384 imaging method Methods 0.000 claims description 16
- 238000004364 calculation method Methods 0.000 claims description 12
- 239000007787 solid Substances 0.000 claims description 10
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 4
- 230000001186 cumulative effect Effects 0.000 claims description 2
- 206010028980 Neoplasm Diseases 0.000 description 15
- 238000001514 detection method Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 4
- 230000005251 gamma ray Effects 0.000 description 4
- 230000010354 integration Effects 0.000 description 4
- 238000002600 positron emission tomography Methods 0.000 description 4
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 2
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- 239000008103 glucose Substances 0.000 description 2
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- 238000007476 Maximum Likelihood Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
- G06T11/006—Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
- A61B6/037—Emission tomography
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2211/00—Image generation
- G06T2211/40—Computed tomography
- G06T2211/424—Iterative
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Description
但し、多くの癌症状は早期に発見することが可能となり、治癒率も向上している。科学技術の恩恵に賜り、現在の分子生物と画像工学の結合は、多くの非侵入性の画像検出装置を生み、致命的な疾病に対する早期発見の機会を増やすことができ、これらの検出装置内で更に高感度の特質を具えたPET(Positron Emission Tomography)が画像検出の重要な役割を担っている。
(a)複数個の立体画素がそれぞれ第一輻射活性値(radioactivity)を有する;
(b)各LOR上の立体画素に対し投影領域に投影転換を実行し、測定計数値と比較し複数個の校正計数値を得る;
(c)それぞれLOR上の各立体画素の第一輻射活性値(radioactivity)に対し演算を実行し、各立体画素の重み付け値を得る;
(d)LOR上の各立体画素の重み付け値に従い逆投影を実行し、各LORの校正計数値とLOR上の各立体画素の重み付け値に対し計算を実行し、LOR上の各立体画素の第二輻射活性値を得る;
(e)画像空間を再構成し、各立体画素の第二輻射活性値を第一輻射活性値(radioactivity)にする;
(f)ステップ(b)乃至(f)を反復実行する。
(b1)それぞれLORが通過する立体画素の第一輻射活性値(radioactivity)に対して投影領域への投影転換を実行し、LORの投影計数値を推測する;
(b2)推測計数値と測定計数値を比較し、校正計数値を得る。校正計数値は測定計数値と推測計数値の比になる;
(d1)閾値を設定し、第二輻射活性値が閾値より小さい場合、第二輻射活性値を0にする。
LOR上の各立体画素の重み付け値と校正計数値を相互に乗算し乗積値を得る;
少なくとも一つのLORの乗積値の累計より第二輻射活性値を得る;
閾値を設定し、第二輻射活性値が閾値より小さい場合、第二輻射活性値は0とする;
腫瘍90は、人工器官の中心(z=0mm)に配置し、腫瘍91はz=20mmの位置上に配置する。更に、本発明の二次元平面撮像の三次元画像再構成方法を利用して画像再構成を実行し、公知の技術の焦点面画像再構成方法と比較する。
図10の(B)は本発明の方法によるもので、z=0mm及びz=20mmの画像結果である。これらの結果より明らかなように、本発明の方法は、腫瘍のz軸方法の位置を正確に判断でき、公知の技術よりも優れた画像を得ることができる。
12 LOR(Line of Response)
13 人工器官
2 容器
20〜23 プロセス
210〜212 プロセス
220〜221 プロセス
230〜232 プロセス
30 画像空間
31 投影領域
4 画像空間
40、43 立体画素
50、51、52 LOR(Line of Response)
90、91 腫瘍
Claims (7)
- 被検出物が発生する複数個のLORに対し画像再構成を実行し、各LORは対応する測定計数値を有し、平面撮像画像再構成方法は、
(a)複数個の立体画素がそれぞれ第一輻射活性値(radioactivity)を有し、
(b)各LOR上の立体画素に対し投影領域に投影転換を実行し、測定計数値と比較し複数個の校正計数値を得て、
(c)それぞれLOR上の各立体画素の第一輻射活性値(radioactivity)に対して演算を実行し各立体画素の重み付け値を得る
(d)LOR上の各立体画素の重み付け値に従い逆投影を実行し、各LORの校正計数値とLOR上の各立体画素の重み付け値に対し計算を実行し、各立体画素の第二輻射活性値を得る、
(e)画像空間を再構成し、各立体画素の第二輻射活性値を第一輻射活性値(radioactivity)とし、
(f)ステップ(b)乃至(f)を反復実行する、
上記のステップより構成されることを特徴とした、二次元平面撮像により三次元画像情報を表す再構成方法。 - 前記ステップ(d)は更に、(d1)閾値を設定し、第二輻射活性値が閾値より小さい場合、第二輻射活性値を0にする、ステップを設けることを特徴とした、請求項1に記載の二次元平面撮像により三次元画像情報を表す再構成方法。
- 前記校正計数値は測定計数値と推測計数値の比であることを特徴とした、請求項1に記載の二次元平面撮像により三次元画像情報を表す再構成方法。
- 前記重み付け値は、LOR上の各立体画素の第一輻射活性値(radioactivity)と推測計数値の和の比であることを特徴とした、請求項1に記載の二次元平面撮像により三次元画像情報を表す再構成方法。
- 前記ステップ(b)は更に、
(b1)それぞれLORが通過する立体画素の第一輻射活性値(radioactivity)に対して投影領域への投影転換を実行してLORの投影計数値を推測し、
(b2)推測計数値と測定計数値を比較して校正計数値を得る。校正計数値は測定計数値と推測計数値の比であり、
上記のステップを設けることを特徴とした、請求項1に記載の二次元平面撮像により三次元画像情報を表す再構成方法。 - 前記計算は更に、
(d2)LOR上の各立体画素の重み付け値と校正計数値を相互に乗算して乗積値を得る;
少なくとも一つのLORの乗積値の累計より第二輻射活性値を得て、
(d3)閾値を設定し、第二輻射活性値が閾値より小さい場合、第二輻射活性値は0とする、上記ステップを設けることを特徴とした、請求項1に記載の二次元平面撮像により三次元画像情報を表す再構成方法。 - 前記計算は更に、
(d4)閾値を設定し、第二輻射活性値が閾値より小さい場合、第二輻射活性値を0にする、ステップを設けることを特徴とした、請求項6に記載の二次元平面撮像により三次元画像情報を表す再構成方法。
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TW095113726A TWI337329B (en) | 2006-04-18 | 2006-04-18 | Image reconstruction method for structuring two-dimensional planar imaging into three-dimension imaging |
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DE102006029718A1 (de) * | 2006-06-28 | 2008-01-10 | Siemens Ag | Verfahren zur Auswertung zweier Abbilder sowie medizinisches Abbildungssystem |
US7949172B2 (en) * | 2007-04-27 | 2011-05-24 | Siemens Medical Solutions Usa, Inc. | Iterative image processing |
WO2008141293A2 (en) * | 2007-05-11 | 2008-11-20 | The Board Of Regents Of The University Of Oklahoma One Partner's Place | Image segmentation system and method |
US8546763B2 (en) * | 2008-01-22 | 2013-10-01 | Shimadzu Corporation | Positron computed tomography device |
CN102013116B (zh) * | 2010-11-30 | 2012-11-07 | 华润万东医疗装备股份有限公司 | 基于脑血管旋转造影术进行三维重建的方法 |
US8787644B2 (en) * | 2011-06-14 | 2014-07-22 | Kabushiki Kaisha Toshiba | Method and device for calculating voxels defining a tube-of-response using a central-ray-filling algorithm |
TWI505105B (zh) * | 2012-07-31 | 2015-10-21 | Nat Univ Tsing Hua | 將正子攝影中三重事件數據再利用之系統、方法及程式 |
KR101378757B1 (ko) * | 2012-08-30 | 2014-03-27 | 한국원자력연구원 | 물질 원소 정보 획득 및 영상 차원의 선택이 가능한 방사선 영상화 장치 |
TWI494897B (zh) * | 2012-11-20 | 2015-08-01 | Iner Aec Executive Yuan | 一種三維射束覓跡的投影方法 |
WO2016036352A1 (en) * | 2014-09-03 | 2016-03-10 | Hewlett-Packard Development Company, L.P. | Presentation of a digital image of an object |
WO2017066248A1 (en) | 2015-10-16 | 2017-04-20 | Varian Medical Systems, Inc. | Iterative image reconstruction in image-guided radiation therapy |
US10255696B2 (en) | 2015-12-11 | 2019-04-09 | Shanghai United Imaging Healthcare Co., Ltd. | System and method for image reconstruction |
EP3234919B1 (en) | 2015-12-11 | 2021-03-17 | Shanghai United Imaging Healthcare Co., Ltd. | System and method for image reconstruction |
CN106911893B (zh) * | 2017-02-23 | 2020-04-03 | 北京建筑大学 | 一种单像素计算成像方法 |
TWI742891B (zh) * | 2020-10-23 | 2021-10-11 | 行政院原子能委員會核能研究所 | 平面式腦功能用正子攝影裝置 |
CN113576504B (zh) * | 2021-08-02 | 2023-06-27 | 南华大学 | 一种用于中低原子序数物质的μ子成像方法 |
TWI780853B (zh) | 2021-08-05 | 2022-10-11 | 行政院原子能委員會核能研究所 | 平面式加馬成像探頭位置訊號處理方法 |
CN116540872B (zh) * | 2023-04-28 | 2024-06-04 | 中广电广播电影电视设计研究院有限公司 | Vr数据处理方法、装置、设备、介质及产品 |
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US5224037A (en) * | 1991-03-15 | 1993-06-29 | Cti, Inc. | Design of super-fast three-dimensional projection system for Positron Emission Tomography |
US5793045A (en) | 1997-02-21 | 1998-08-11 | Picker International, Inc. | Nuclear imaging using variable weighting |
US6804325B1 (en) | 2002-10-25 | 2004-10-12 | Southeastern Universities Research Assn. | Method for position emission mammography image reconstruction |
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US7227149B2 (en) * | 2004-12-30 | 2007-06-05 | General Electric Company | Method and system for positron emission tomography image reconstruction |
US7405405B2 (en) * | 2005-05-17 | 2008-07-29 | General Electric Company | Method and system for reconstructing an image in a positron emission tomography (PET) system |
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