H. Neale Cardinal

TL;DR: A review article describes the developments of a number of 3D ultrasound imaging systems using mechanical, free-hand and 2D array scanning techniques and the sources of errors in the reconstruction techniques as well as formulae relating design specification to geometric errors.

TL;DR: In vivo prostate volume estimates from manual planimetry of 3D TR US images have much lower variability and higher reliability than HWL estimates from 2D TRUS images.

TL;DR: It is shown that direct approximation of the inverse dual-energy equations using the simple eight-term rational form of the conic surface equation provides an extremely fast decomposition algorithm, which is accurate, robust in the presence of noise, and which can be calibrated with as few as 9 calibration points, or robustly calibrated, with a built-in accuracy check, using only 16 calibration points.

TL;DR: Two methods for semiautomatic three-dimensional prostate boundary segmentation using 2-D ultrasound images are reported on, and it is concluded that the rotational segmentation method is superior.

TL;DR: An algorithm to segment a needle from a three-dimensional (3D) ultrasound image by using two orthogonal two-dimensional image projections, which improves accuracy and robustness and uses volume cropping and Gaussian transfer functions to remove complex background from the 2D projection images.