Descripción
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Prostate cancer (PCa) is currently the most frequently diagnosed non-cutaneous cancer and the second most important reason for cancer mortality in men. Early diagnosis is imperative as cure can often be established. Dynamic Contrast enhance MRI (DCE-MRI) has been established as accurate method in detection and localization of PCa. DCE-MRI is performed by obtaining repeated, fast T1-weighted images before and up to a few minutes after intravenous injection of a gadolinium containing contrast agent. Three-dimensional datasets of the prostate are obtained every few seconds. This allows obtaining a per-voxel signal-intensity vs. time curve. From this, different pharmacokinetic parameters are modeled and used to differentiate cancerous from non-cancerous tissue. Drawbacks are that rectal peristalsis and patient movement often result in spatial-mismatching of serial 3D datasets and therefore incorrect enhancement curves and pharmacokinetic parameters. Hence, a definite need exists to correct these movement related inaccuracies. Therefore, in this work we present a new algorithm that exploits temporal movement patterns to compensate for this movement and enable a more reliable and automatic analysis of the pharmacokinetic data. | |
Internacional
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Si |
Nombre congreso
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Joint Annual Meeting ISMRM-ESMRMB (International Society for Magnetic Resonance in Medicine - European Society for Magnetic Resonance in Medicine and Biology) |
Tipo de participación
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960 |
Lugar del congreso
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Estocolmo (Suecia) |
Revisores
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Si |
ISBN o ISSN
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1545-4428 |
DOI
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Fecha inicio congreso
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01/05/2010 |
Fecha fin congreso
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07/05/2010 |
Desde la página
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0 |
Hasta la página
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0 |
Título de las actas
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2010 SCIENTIFIC MEETING PROCEEDINGS |