PMID- 26276959
OWN - NLM
STAT- MEDLINE
DCOM- 20160512
LR  - 20161125
IS  - 1525-8955 (Electronic)
IS  - 0885-3010 (Linking)
VI  - 62
IP  - 8
DP  - 2015 Aug
TI  - Nonlocal means filter-based speckle tracking.
PG  - 1501-15
LID - 10.1109/TUFFC.2015.007134 [doi]
AB  - The objective of sensorless freehand 3-D ultrasound imaging is to eliminate the 
      need for additional tracking hardware and reduce cost and complexity. However, 
      the accuracy of current out-of-plane pose estimation is main obstacle for full 
      6-degree-of-freedom (DoF) tracking. We propose a new filter-based speckle 
      tracking framework to increase the accuracy of out-of-plane displacement 
      estimation. In this framework, we use the displacement estimation not only for 
      the specific speckle pattern, but for the entire image. We develop a nonlocal 
      means (NLM) filter based on a probabilistic normal variance mixture model of 
      ultrasound, known as Rician-inverse Gaussian (RiIG). To aggregate the local 
      displacement estimations, Stein's unbiased risk estimate (SURE) is used as a 
      quality measure of the estimations. We derive an explicit analytical form of SURE 
      for the RiIG model and use it as a weight factor. The proposed filter-based 
      speckle tracking framework is formulated and evaluated for three commonly used 
      noise models, including the RiIG model. The out-of-plane estimations are compared 
      with our previously proposed model-based algorithm in a set of ex vivo 
      experiments for different tissue types. We show that the proposed RiIG 
      filter-based method is more accurate and less tissue-dependent than the other 
      methods. The proposed method is also evaluated in vivo on the spines of five 
      different subjects to assess the feasibility of a clinical application. The 6-DoF 
      transform parameters are estimated and compared with the electromagnetic tracker 
      measurements. The results show higher tracking accuracy for typical small lateral 
      displacements and tilt rotations between image pairs.
FAU - Afsham, Narges
AU  - Afsham N
FAU - Rasoulian, Abtin
AU  - Rasoulian A
FAU - Najafi, Mohammad
AU  - Najafi M
FAU - Abolmaesumi, Purang
AU  - Abolmaesumi P
FAU - Rohling, Robert
AU  - Rohling R
LA  - eng
GR  - Canadian Institutes of Health Research/Canada
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - IEEE Trans Ultrason Ferroelectr Freq Control
JT  - IEEE transactions on ultrasonics, ferroelectrics, and frequency control
JID - 9882735
SB  - IM
MH  - Algorithms
MH  - Animals
MH  - Cattle
MH  - Chickens
MH  - Elasticity Imaging Techniques/*methods
MH  - Humans
MH  - Imaging, Three-Dimensional/*methods
MH  - Models, Biological
MH  - Muscle, Skeletal/diagnostic imaging
MH  - Phantoms, Imaging
MH  - *Signal Processing, Computer-Assisted
MH  - Spine/diagnostic imaging
EDAT- 2015/08/16 06:00
MHDA- 2016/05/14 06:00
CRDT- 2015/08/16 06:00
PHST- 2015/08/16 06:00 [entrez]
PHST- 2015/08/16 06:00 [pubmed]
PHST- 2016/05/14 06:00 [medline]
AID - 10.1109/TUFFC.2015.007134 [doi]
PST - ppublish
SO  - IEEE Trans Ultrason Ferroelectr Freq Control. 2015 Aug;62(8):1501-15. doi: 
      10.1109/TUFFC.2015.007134.