Novel Algorithms for Reducing Radiation Dose of CT Perfusion
减少 CT 灌注辐射剂量的新算法
基本信息
- 批准号:10006737
- 负责人:
- 金额:$ 82.07万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-01 至 2022-05-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdoptionAffectAlgorithmsAmerican Heart AssociationAnatomyAngiographyAnimalsBolus InfusionBrainBrain NeoplasmsCerebrovascular DisordersClinicalCollaborationsDataData SetDecision MakingDevelopmentDiagnosisDoseEvaluationFutureGoalsGuidelinesHeadHeartImageImaging TechniquesImaging technologyImpairmentInfarctionLocationLow Dose RadiationMalignant NeoplasmsMedicalMethodsModificationMonitorMorphologic artifactsMotionNoiseOrganPatientsPatternPenetrationPerfusionPhasePhysiologic pulsePublic HealthRadiation Dose UnitReperfusion TherapyRoentgen RaysRotationScanningSignal TransductionSmall Business Technology Transfer ResearchSpecific qualifier valueSpeedStrokeTechniquesTechnologyTimeTraumatic Brain InjuryTubeVariantVendorX-Ray Computed Tomographyacute strokebasebrain tissuecontrast imagingdeep learningdenoisinghemodynamicsimaging modalityinnovationlow dose computed tomographynovelperfusion imagingpreservationradiation effectreconstructiontemporal measurementvoltage
项目摘要
Project Summary/Abstract
X-ray computed tomography (CT) has been increasingly used in medical diagnosis, currently reaching more
than 100 million CT scans every year in the US. The increasing use of CT has sparked concern over the
effects of radiation dose on patients. It is estimated that every 2000 CT scans will cause one future cancer, i.e.,
50,000 cases of future cancers from 100 million CT scans every year. CT brain perfusion (CTP) is a widely
used imaging technique for the evaluation of hemodynamic changes in stroke and cerebrovascular disorders.
However, CTP involves high radiation dose for patients as the CTP scan is repeated on the order of 40 times
at the same anatomical location, in order to capture the full passage of the contrast bolus. Several techniques
have been applied for radiation dose reduction in CTP scans, including reduction of tube current and tube
voltage, as well as the use of noise reduction techniques such as iterative reconstruction (IR). However, the
resultant radiation dose of existing CTP scans is still significantly higher than that of a standard head CT scan.
The application of IR techniques in CTP is very limited due to the high complexity and computational burden
for processing multiple CTP images that impairs clinical workflow. During the Phase 1 STTR project, we
introduced a novel low dose CTP imaging method based on the k-space weighted image contrast (KWIC)
reconstruction algorithm. We performed thorough evaluation in both a CTP phantom and clinical CTP datasets,
and demonstrated that the KWIC algorithm is able to reduce the radiation dose of existing CTP techniques by
75% without affecting the image quality and accuracy of quantification (i.e., Milestone of Phase 1 STTR).
However, the original KWIC algorithm requires rapid-switching pulsed X-ray at pre-specified rotation angles – a
hardware capability yet to be implemented by commercial CT vendors. In order to address this limitation, we
recently introduced a variant of the KWIC algorithm termed k-space weighted image average (KWIA) that
preserves high spatial and temporal resolutions as well as image quality of low dose CTP data (~75% dose
reduction) to be comparable to those of standard CTP scans. Most importantly, KWIA does not require
modification of existing CT hardware and is computationally simple and fast, therefore has a low barrier for
market penetration. The purpose of the Phase 2 STTR project is to further optimize and validate the KWIA
algorithm for reducing radiation dose of CTP scans by ~75% while preserving the image quality and
quantification accuracy in CTP phantom, clinical CTP data and animal studies. We will further develop
innovative deep-learning (DL) based algorithms to address potential motion and other artifacts in KWIA, and
commercialize the developed algorithms by collaborating with CT vendors.
项目总结/文摘
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jeffry R Alger其他文献
Jeffry R Alger的其他文献
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{{ truncateString('Jeffry R Alger', 18)}}的其他基金
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- 资助金额:
$ 82.07万 - 项目类别:
Novel Algorithms for Reducing Radiation Dose of CT Perfusion
减少 CT 灌注辐射剂量的新算法
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10220967 - 财政年份:2017
- 资助金额:
$ 82.07万 - 项目类别:
VALIDATION OF MAGNETIC RESONANCE PERFUSION IMAGING
磁共振灌注成像的验证
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6193264 - 财政年份:2000
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VALIDATION OF MAGNETIC RESONANCE PERFUSION IMAGING
磁共振灌注成像的验证
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磁共振灌注成像的验证
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6603227 - 财政年份:2000
- 资助金额:
$ 82.07万 - 项目类别:
VALIDATION OF MAGNETIC RESONANCE PERFUSION IMAGING
磁共振灌注成像的验证
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RESEARCH ANIMAL MAGNETIC RESONANCE IMAGING INSTRUMENT
研究动物磁共振成像仪
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PEDIATRIC LOW GRADE ASTROCYTOMA--TREATMENT GUIDANCE
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