Title :
Ultrasonic Renal-Stone Tracking with Mesh Regularization
Author :
Jenho Tsao ; Jia-Hong He
Author_Institution :
Nat. Taiwan Univ., Taipei
Abstract :
The efficacy of extracorporeal shock wave lithotripsy (ESWL) depends greatly on the capability to focus shock waves on renal stone. To achieve automatic focusing on moving target, the target must be under tracking. A mesh-based block matching algorithm is proposed for renal stone tracking using ultrasound image sequence. Since multiple targets are tracked together, the mesh-based tracking algorithm can provide a function of contextual regularization for solving the target missing and image degradation problems in renal stone tracking. Recorded ultrasound images of kidney during ESWL treatment are modified for demonstrating the capability of this algorithm.
Keywords :
biomedical ultrasonics; image matching; image sequences; kidney; medical image processing; mesh generation; shock waves; target tracking; block matching algorithm; extracorporeal shock wave lithotripsy; mesh regularization; shock waves; ultrasonic renal-stone tracking; ultrasound image sequence; Degradation; Focusing; Image sequences; Lithotripsy; Shock waves; Speckle; Switches; Target tracking; Trajectory; Ultrasonic imaging; Algorithms; Automation; Calculi; Equipment Design; Humans; Kidney; Kidney Calculi; Lithotripsy; Models, Statistical; Normal Distribution; Reproducibility of Results; Ultrasonics; Ultrasonography;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352757