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Ultrasonic spectrum analysis for tissue assays and therapy evaluation
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1997
Year
Biomedical AcousticsMedical UltrasoundEngineeringTissue MicrostructureBiological Effects Of Acoustic WavesBiomedical EngineeringUltrasonic HyperthermiaUltrasonic Spectrum AnalysisPower UltrasoundBiophysicsUltrasound PhysicsRadiologyFocused UltrasoundMedical ImagingUltrasonicsAcoustic PropagationMusculoskeletal UltrasoundUltrasoundBiomedical ImagingDiagnostic AcousticsLaser UltrasoundMedicineAcoustic Microscopy
Ultrasonic spectrum analysis measures tissue morphologic features that conventional ultrasonography poorly depicts. The article reviews spectral technique applications and expands theory linking measured spectral features to tissue microstructure autocorrelation. The authors derive explicit relationships between linear‑regression spectral parameters and the effective mean sizes, concentrations, and mechanical properties of tissue scattering centers, linking them to the spatial autocorrelation function. In vitro, in vivo, and clinical studies demonstrate that ultrasonic spectrum analysis quantitatively assesses microstructural changes induced by hyperthermia and ablative tumor treatments, with spectral images mapping extent and severity to evaluate therapy outcomes. © 1997 John Wiley & Sons, Inc., Int J Imaging Syst Technol, 8: 3–10.
Ultrasonic spectrum analysis procedures have been developed to measure tissue morphologic features that are not well depicted with conventional ultrasonography. This article reviews some of the applications of spectral techniques and provides an expanded theoretical framework showing how measured spectral features are related to the spatial autocorrelation function descriptive of tissue microstructure. Explicit relationships are obtained that describe how linear-regression spectral parameters are related to the effective mean sizes, concentrations, and relative mechanical properties of scattering centers in tissue. In vitro, in vivo, and clinical results are presented illustrating how these techniques can be used to evaluate tissue alterations induced by ultrasonic hyperthermia and ablative treatments of tumors. These results show that ultrasonic spectrum analysis can provide quantitative information regarding changes in microstructure attributes. Spectral parameter images in two and three dimensions demonstrate how such procedures can map the spatial extent and severity of these changes, thereby providing a quantitative basis for assessing the results of tumor therapy. © 1997 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 8: 3–10, 1997