title: In vivo ultrasound biomicroscopy of skin: spectral system characteristics and inverse filtering optimization.
abstract: High-frequency ultrasound (HFUS) in the 20 MHz to 100 MHz range has to meet the opposite requirements of good spatial resolution and of high penetration depth for in vivo ultrasound biomicroscopy (UBM) of skin. The attenuation of water, which serves as sound propagation medium between utilized single element transducers and the skin, becomes very eminent with increasing frequency. Furthermore, the spectra of acquired radio frequency (rf) echo signals change over depth because of the diffracted sound field characteristics. The reduction of the system's center frequency and bandwidth causes a significant loss of spatial resolution over depth. In this paper, the spectral characteristics of HFUS imaging systems and the potential of inverse echo signal filtering for the optimization of pulse-echo measurements is analyzed and validated. A Gaussian model of the system's transfer function, which takes into account the frequency-dependent attenuation of the water path, was developed. Predictions of system performance are derived from this model and compared with measurement results. The design of a HFUS skin imaging system with a 100 MHz range transducer and a broadband driving electronics is discussed. A time-variant filter for inverse rf echo signal filtering was designed to compensate the system's depth-dependent imaging properties. Results of in vivo measurements are shown and discussed.
authors: Institute of High Frequency Engineering, Department of Electrical Engineering and Information Technology, Ruhr-University, 44780 Bochum, Germany. Michael.Vogt@rub.de
authors: Michael
authors: M
authors: Vogt
authors: Helmut
authors: H
authors: Ermert
mesh_terms: D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008545:Melanoma / Q000000981:diagnostic imaging*; D033401:Microscopy, Acoustic; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted; D012878:Skin Neoplasms / Q000000981:diagnostic imaging*; D014159:Transducers