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Linearity and shift invariance for quantitative magnetic particle imaging.
Lu, Kuan; Goodwill, Patrick W; Saritas, Emine U; Zheng, Bo; Conolly, Steven M.
Afiliación
  • Lu K; Deparment of Engineering, University of California, Berkeley, CA 94720, USA.
IEEE Trans Med Imaging ; 32(9): 1565-75, 2013 Sep.
Article en En | MEDLINE | ID: mdl-23568496
Magnetic Particle Imaging (MPI) is a promising tracer imaging modality that employs a kidney-safe contrast agent and does not use ionizing radiation. MPI already shows high contrast and sensitivity in small animal imaging, with great potential for many clinical applications, including angiography, cancer detection, inflammation imaging, and treatment monitoring. Currently, almost all clinically relevant imaging techniques can be modeled as systems with linearity and shift invariance (LSI), characteristics crucial for quantification and diagnostic utility. In theory, MPI has been proven to be LSI. However, in practice, high-pass filters designed to remove unavoidable direct feedthrough interference also remove information crucial to ensuring LSI in MPI scans. In this work, we present a complete theoretical and experimental description of the image artifacts from filtering. We then propose and validate a robust algorithm to completely restore the lost information for the x-space MPI method. We provide the theoretical, simulated, and experimental proof that our algorithm indeed restores the LSI properties of MPI.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diagnóstico por Imagen / Nanopartículas de Magnetita / Modelos Teóricos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: IEEE Trans Med Imaging Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diagnóstico por Imagen / Nanopartículas de Magnetita / Modelos Teóricos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: IEEE Trans Med Imaging Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos