作者: A. Fenster , D. Lee , S. Sherebrin , R. Rankin , D. Downey
DOI: 10.1016/S0041-624X(97)00124-8
关键词: Radiology 、 Artificial intelligence 、 Computer vision 、 Transducer 、 Three dimensional ultrasound 、 Ultrasound 、 Orientation (computer vision) 、 Ultrasonic sensor 、 Medical diagnosis 、 Iterative reconstruction 、 Computer science 、 Ultrasound imaging
摘要: With conventional ultrasonography, the diagnostician must view a series of two-dimensional images in order to form mental impression three-dimensional anatomy, an efficient and time consuming practice prone operator variability, which may cause variable or even incorrect diagnoses. Also, ultrasound image represents thin slice patients anatomy at single location orientation, is difficult reproduce later time. These factors make ultrasonography non-optimal for prospective follow-up studies. Our efforts have focused on overcoming these deficiencies by developing imaging techniques that are capable acquiring B-mode, colour Doppler power vasculature, using system acquire then mathematically reconstructing them into image, be viewed interactively inexpensive desktop computer. We report here two approaches: (1) free-hand scanning, magnetic positioning device attached transducer record position orientation each needed reconstruction; (2) mechanical motor-driven assembly used translate linearly across neck, yielding set uniformly-spaced parallel images.