Radiological imaging incorporating local motion monitoring, correction, and assessment
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
US-0996781
(2009-06-01)
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등록번호 |
US-8331639
(2012-12-11)
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국제출원번호 |
PCT/IB2009/052297
(2009-06-01)
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§371/§102 date |
20101208
(20101208)
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국제공개번호 |
WO2009/153683
(2009-12-23)
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발명자
/ 주소 |
- Brinks, Ralph
- Fischer, Alexander
- Martin Recuero, Ana Belen
- Georgi, Jens-Christoph
- Schweizer, Bernd
- Paulus, Timo Markus
|
출원인 / 주소 |
- Koninklijke Philips Electronics N.V.
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인용정보 |
피인용 횟수 :
4 인용 특허 :
5 |
초록
▼
A radiological imaging method comprises: acquiring radiological lines of response (LOR's) from a subject; grouping the acquired LOR's into time intervals such that each group of LOR's (20) was acquired during a selected time interval; identifying a region of interest (60, 74) for each time interval
A radiological imaging method comprises: acquiring radiological lines of response (LOR's) from a subject; grouping the acquired LOR's into time intervals such that each group of LOR's (20) was acquired during a selected time interval; identifying a region of interest (60, 74) for each time interval based on LOR's grouped into that time interval; for each time interval, determining a positional characteristic (102) of the region of interest identified for that time interval based on LOR's grouped into that time interval; for each time interval, spatially adjusting LOR's grouped into that time interval based on the positional characteristic of the region of interest identified for that time interval; and reconstructing at least the spatially adjusted LOR's to generate a motion compensated reconstructed image.
대표청구항
▼
1. A radiological imaging method comprising: acquiring radiological lines of response (LOR's) from a subject;grouping the acquired LOR's into time intervals such that the LOR's of a group of LOR's were acquired during a selected time interval;for at least some time intervals, identifying a region of
1. A radiological imaging method comprising: acquiring radiological lines of response (LOR's) from a subject;grouping the acquired LOR's into time intervals such that the LOR's of a group of LOR's were acquired during a selected time interval;for at least some time intervals, identifying a region of interest for the time interval based on LOR's grouped into the time interval, determining a positional characteristic of the region of interest identified for the time interval based on LOR's grouped into the time interval, and spatially adjusting LOR's grouped into the time interval based on the positional characteristic of the region of interest identified for the time interval; andreconstructing at least the spatially adjusted LOR's to generate a motion-compensated reconstructed image. 2. The radiological imaging method as set forth in claim 1, wherein the identifying of a region of interest for a time interval based on LOR's grouped into the time interval comprises: estimating an estimated positional characteristic for the time interval; andidentifying the region of interest for the time interval as a nominal region of interest adjusted based on the estimated positional characteristic for the time interval. 3. The radiological imaging method as set forth in claim 2, wherein the estimating of an estimated positional characteristic for a time interval comprises at least one of: estimating the estimated positional characteristic for the time interval based on a reading of a motion sensor acquired during the time interval, andestimating the estimated positional characteristic for the time interval based on a motion model. 4. The radiological imaging method as set forth in claim 2, wherein the estimating of an estimated positional characteristic for a time interval comprises: estimating an estimated positional characteristic for the time interval based on the positional characteristic determined for at least one other of the time intervals. 5. The radiological imaging method as set forth in claim 1, wherein the identifying of a region of interest for a time interval based on LOR's grouped into the time interval comprises: generating a low-resolution reconstructed image corresponding to the LOR's grouped into the time interval; andidentifying the region of interest for the time interval based on the low-resolution reconstructed image corresponding to the LOR's grouped into the time interval. 6. The radiological imaging method as set forth in claim 5, wherein the determining of a positional characteristic comprises: determining the positional characteristic as a center of mass determined by cross-correlating the low-resolution reconstructed image and a template. 7. The radiological imaging method as set forth in claim 5, wherein the generating of the low-resolution reconstructed images, the identifying of the regions of interest, and the spatial adjusting of the LOR's are repeated to iteratively improve the spatial adjusting of the LOR's. 8. The radiological imaging method as set forth in claim 1, wherein the identifying of a region of interest for a time interval based on LOR's grouped into the time interval comprises: generating a low-resolution reconstructed image corresponding to the LOR's grouped into the time interval; andsegmenting the low-resolution reconstructed images to identify at least one region of interest for the time interval. 9. The radiological imaging method as set forth in claim 8, wherein the segmenting identifies a plurality of regions of interest for the time interval, and the determining of a positional characteristic and the spatial adjusting of LOR's is performed for each of the plurality of regions of interest in the time interval. 10. The radiological imaging method as set forth in claim 1, wherein the grouping of the acquired LOR's into time intervals comprises: defining at least one of the time intervals as an aggregation of two or more temporally non-contiguous time sub-intervals having a common cardiac or respiratory phase. 11. The radiological imaging method as set forth in claim 1, further comprising: assessing a quality of LOR's grouped into at least some time intervals. 12. The radiological imaging method as set forth in claim 11, wherein the assessing comprises one of: comparing a total number of LOR's grouped into a time interval that pass through the region of interest for the time interval with a quantity criterion, andcomparing a quantity criterion with a total number of LOR's grouped into a time interval that have TOF probability peaks within the region of interest for the time interval. 13. The radiological imaging method as set forth in claim 1, further comprising: estimating an elasticity characteristic of the region of interest based on a positional characteristic versus time representation derived from the positional characteristics of the time intervals. 14. The radiological imaging method as set forth in claim 1, further comprising: displaying or storing the motion-compensated reconstructed image. 15. A radiological imaging method comprising: acquiring radiological lines of response (LOR's) from a subject;grouping the acquired LOR's into time intervals such that the LOR's of a group of LOR's were acquired during a selected time interval;for at least some time intervals, determining a positional characteristic of a region of interest based on LOR's grouped into the time interval, and spatially adjusting LOR's grouped into the time interval based on the positional characteristic identified for the time interval;reconstructing at least the spatially adjusted LOR's to generate a motion-compensated reconstructed image; andassessing the positional characteristics determined for the time intervals. 16. The radiological imaging method as set forth in claim 15, wherein the assessing comprises: assessing a quality of LOR's grouped into a time interval. 17. The radiological imaging method as set forth in claim 16, wherein the assessing of the quality of LOR's grouped into a time interval comprises: comparing a total number of LOR's grouped into the time interval that pass through the region of interest for the time interval with a quantity criterion. 18. The radiological imaging method as set forth in claim 16, wherein the LOR's are time-of-flight (TOF) LOR's, and the assessing of the quality of LOR's grouped into a time interval comprises: comparing a quantity criterion with a total number of TOF LOR's grouped into the time interval that have TOF peaks within through the region of interest for the time interval. 19. The radiological imaging method as set forth in claim 15, wherein the assessing comprises: estimating an elasticity characteristic of the region of interest based on a positional characteristic versus time representation derived from the positional characteristics of the time intervals. 20. A radiological imaging method comprising: acquiring radiological lines of response (LOR's) from a subject;grouping the acquired LOR's into time intervals such that the LOR's of a group of LOR's were acquired during a selected time interval;for at least some time intervals: generating a low-resolution reconstructed image of a region of interest from the LOR's grouped into the time interval,determining a center of mass positional characteristic by cross-correlating the low-resolution reconstructed image and a template, andspatially adjusting LOR's grouped into the time interval based on the positional characteristic; andreconstructing at least the spatially adjusted LOR's to generate a motion-compensated reconstructed image. 21. The radiological imaging method as set forth in claim 20, further comprising: selecting one of the low-resolution reconstructed images corresponding to the time intervals as template data; andperforming noise-reducing processing on the template data to define the template. 22. The radiological imaging method as set forth in claim 20, further comprising: generating the template based on a priori anatomical knowledge. 23. The radiological imaging method as set forth in claim 22, further comprising: obtaining the a priori anatomical knowledge from the subject using an imaging modality other than an imaging modality used to acquire LOR's from a subject. 24. A radiological imaging method comprising: acquiring radiological lines of response (LOR's) from a subject;grouping the acquired LOR's into time intervals such that the LOR's of a group of LOR's were acquired during a selected time interval;for at least some time intervals: generating a low-resolution reconstructed image of a region of interest from the LOR's grouped into the time interval,segmenting the low-resolution reconstructed image to define a plurality of regions of interest,determining a positional characteristic for the region of interest, andspatially adjusting LOR's grouped into the time interval based on the determined positional characteristics; andreconstructing at least the spatially adjusted LOR's to generate a motion-compensated reconstructed image. 25. The radiological imaging method as set forth in claim 24, wherein the LOR's are time-of-flight LOR's (TOF-LOR's), and the segmenting is based on a deformable mesh cardiac model and defines regions of interest corresponding to cardiac anatomical features, and the grouping comprises: grouping the acquired LOR's into time intervals such that each group of LOR's was acquired during a selected time interval, wherein each time interval comprises a plurality of temporally non-contiguous time sub-intervals having a common cardiac phase.
이 특허에 인용된 특허 (5)
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Qian Jianzhong, Automatic detection and correction of body organ motion and particularly cardiac motion in nuclear medicine studies.
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Weedon Hans (Salem MA), Auxiliary data acquisition in a medical imaging system.
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Piacsek, Kelly Lynn; Chu, Janice; Kohlmyer, Steven Gerald; Cook, Michael Joseph; Bonner, Michael George; O'Day, Patrick Joseph, Device-less gating of physiological movement for improved image detection.
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Busch, Marc; Brinks, Ralph; Meyer, Carsten, Local motion compensation based on list mode data.
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Shao,Lingxiong; Ye,Jinghan; Da Silva,Angela J.; Zhao,Zuo, Physiological model based non-rigid image registration.
이 특허를 인용한 특허 (4)
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Olivier, Patrick; Perkins, Amy; Zhang, Bin; Tung, Chi-Hua, Method and apparatus to detect and correct motion in list-mode PET data with a gated signal.
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Busch, Marc; Brinks, Ralph, Motion compensation in quantitative data analysis and therapy.
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Rai, Lav; Gibbs, Jason David; Wibowo, Henky, Registration of fluoroscopic images of the chest and corresponding 3D image data based on the ribs and spine.
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Rai, Lav; Gibbs, Jason David; Wibowo, Henky, Surgical assistance planning method using lung motion analysis.
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