Statistical shape model to 3D ultrasound registration for spine interventions using enhanced local phase features.
22 Sep 2013-Vol. 16, pp 361-368
TL;DR: This paper proposes a robust and accurate registration method that matches local phase bone features extracted from ultrasound images to a statistical shape model, which achieves significant improvement in registration accuracy compared to state of the art local phase image processing methods.
Abstract: Accurate registration of ultrasound images to statistical shape models is a challenging problem in percutaneous spine injection procedures due to the typical imaging artifacts inherent to ultrasound. In this paper we propose a robust and accurate registration method that matches local phase bone features extracted from ultrasound images to a statistical shape model. The local phase information for enhancing the bone surfaces is obtained using a gradient energy tensor filter, which combines advantages of the monogenic scale-space and Gaussian scale-space filters, resulting in an improved simultaneous estimation of phase and orientation information. A novel statistical shape model was built by separating the pose statistics from the shape statistics. This model is then registered to the local phase bone surfaces using an iterative expectation maximization registration technique. Validation on 96 in vivo clinical scans obtained from eight patients resulted in a root mean square registration error of 2 mm (SD: 0.4 mm), which is below the clinically acceptable threshold of 3.5 mm. The improvement achieved in registration accuracy using the new features was also significant (p < 0.05) compared to state of the art local phase image processing methods.
Citations
More filters
TL;DR: A local phase-based bone feature enhancement technique that can robustly identify the spine surface in ultrasound images and results in a more distinct enhancement of the bone surfaces compared to recently proposed techniques based on monogenic scale-space filters and logarithmic Gabor filters.
Abstract: Most conventional spine interventions are performed under X-ray fluoroscopy guidance. In recent years, there has been a growing interest to develop nonionizing imaging alternatives to guide these procedures. Ultrasound guidance has emerged as a leading alternative. However, a challenging problem is automatic identification of the spinal anatomy in ultrasound data. In this paper, we propose a local phase-based bone feature enhancement technique that can robustly identify the spine surface in ultrasound images. The local phase information is obtained using a gradient energy tensor filter. This information is used to construct local phase tensors in ultrasound images, which highlight the spine surface. We show that our proposed approach results in a more distinct enhancement of the bone surfaces compared to recently proposed techniques based on monogenic scale-space filters and logarithmic Gabor filters. We also demonstrate that registration accuracy of a statistical shape+pose model of the spine to 3-D ultrasound images can be significantly improved, using the proposed method, compared to those obtained using monogenic scale-space filters and logarithmic Gabor filters.
54 citations
31 Mar 2017
TL;DR: A review about the state-of-the-art bone segmentation and enhancement methods developed for two-dimensional (2D) and 3D US data is provided and a focus is given on segmentations and enhancement of B-mode US data.
Abstract: Due to its real-time, non-radiation based three-dimensional (3D) imaging capabilities, ultrasound (US) has been incorporated into various orthopedic procedures. However, imaging artifacts, low signal-to-noise ratio (SNR) and bone boundaries appearing several mm in thickness make the analysis of US data difficult. This paper provides a review about the state-of-the-art bone segmentation and enhancement methods developed for two-dimensional (2D) and 3D US data. First, an overview for the appearance of bone surface response in B-mode data is presented. Then, classification of the proposed techniques in terms of the image information being used is provided. Specifically, the focus is given on segmentation and enhancement of B-mode US data. The review is concluded by discussing future directions of research and additional challenges which need to be overcome in order to make this imaging modality more successful in orthopedics.
49 citations
14 Sep 2014
TL;DR: A novel approach for robust bone localization that integrates multiple US image features including local phase information, local signal attenuation, and bone shadowing to robustly segment bone surfaces is proposed.
Abstract: Ultrasound (US) image guidance in orthopaedic surgery is emerging as a viable non-invasive alternative to the currently dominant radiation-based modalities. Though it offers many advantages including reduced imaging costs and safer operation, the relatively low US image quality complicates data processing and visualization. We propose a novel approach for robust bone localization that integrates multiple US image features including local phase information, local signal attenuation, and bone shadowing to robustly segment bone surfaces. We demonstrate the advantages of our approach in different contexts including improved segmentation quality, increased registration accuracy, and decreased sensitivity to parameter setting. We present quantitative and qualitative validation on a bovine femur phantom and on real-life clinical pelvis US data from 18 trauma patients using computed tomography (CT) image sets as ground truth.
33 citations
Cites background from "Statistical shape model to 3D ultra..."
...Furthermore, in spine imaging, US bone surface extraction was shown to be promising for needle-insertion applications [5]....
[...]
15 Jul 2015
TL;DR: Registration of CT and the US images to augment anatomical visualization for the clinician during spinal interventions guided by US is proposed and results suggest that the proposed approach has the potential to offer a sufficiently accurate registration between clinical CT and US data.
Abstract: Spinal needle injections are widely applied to alleviate back pain and for anesthesia. Current treatment is performed either blindly with palpation or using fluoroscopy or computed tomography (CT). Both fluoroscopy and CT guidance expose patients to ionizing radiation. Ultrasound (US) guidance for spinal needle procedures is becoming more prevalent as an alternative. It is challenging to use US as the sole imaging modality for intraoperative guidance of spine needle injections due to the acoustic shadows created by the bony structures of the vertebra that limit visibility of the target areas for injection. We propose registration of CT and the US images to augment anatomical visualization for the clinician during spinal interventions guided by US. The proposed method involves automatic global and multi-vertebrae registration to find the closest alignment between CT and US data. This is performed by maximizing the similarity between the two modalities using voxel intensity information as well as features extracted from the input volumes. In our method, the lumbar spine is first globally aligned between the CT and US data using intensity-based registration followed by point-based registration. To account for possible curvature change of the spine between the CT and US volumes, a multi-vertebrae registration step is also performed. Springs are used to constrain the movement of the individually transformed vertebrae to ensure the optimal alignment is a pose of the lumbar spine that is physically possible. Evaluation of the algorithm is performed on 10 clinical patient datasets. The registration approach was able to align CT and US datasets from initial misalignments of up to 25 mm, with a mean TRE of 1.37 mm. These results suggest that the proposed approach has the potential to offer a sufficiently accurate registration between clinical CT and US data.
26 citations
TL;DR: A systematic review of the state-of-the-art techniques for iUS-guided registration in spinal image-guided surgery (IGS) based on a new taxonomy based on the four steps involved in the surgical workflow that include pre-processing, registration initialization, estimation of the required patient to image transformation, and a visualization process.
20 citations
References
More filters
TL;DR: Low back pain is usually a self-limiting symptom, but it costs at least $16 billion each year and disables 5.4 million Americans, and the fact that a benign physical condition has such an importa...
Abstract: LOW back pain is usually a self-limiting symptom, but it costs at least $16 billion each year1 , 2 and disables 5.4 million Americans.3 The fact that a benign physical condition has such an importa...
1,092 citations
"Statistical shape model to 3D ultra..." refers background in this paper
...Lower back pain is a common malady, affecting up to 90% of people at some point in their lifetime [1]....
[...]
TL;DR: The model detected the enhanced segments with 91%/92% sensitivity/specificity which is better than the 81%/85% obtained by the voxel-independent approach and the clinical impact of the model in distinguishing between enhancing and nonenhancing ileum segments in 24 Crohn’s disease patients is demonstrated.
Abstract: Diffusion-weighted MRI of the body has the potential to provide important new insights into physiological and microstructural properties. The Intra-Voxel Incoherent Motion (IVIM) model relates the observed DW-MRI signal decay to parameters that reflect perfusivity (D∗) and its volume fraction (f), and diffusivity (D). However, the commonly used voxel-wise fitting of the IVIM model leads to parameter estimates with poor precision, which has hampered their practical usage. In this work, we increase the estimates’ precision by introducing a model of spatial homogeneity, through which we obtain estimates of model parameters for all of the voxels at once, instead of solving for each voxel independently. Furthermore, we introduce an efficient iterative solver which utilizes a model-based bootstrap estimate of the distribution of residuals and a binary graph cut to generate optimal model parameter updates. Simulation experiments show that our approach reduces the relative root mean square error of the estimated parameters by 80% for the D∗ parameter and by 50% for the f and D parameters. We demonstrated the clinical impact of our model in distinguishing between enhancing and nonenhancing ileum segments in 24 Crohn’s disease patients. Our model detected the enhanced segments with 91%/92% sensitivity/specificity which is better than the 81%/85% obtained by the voxel-independent approach.
251 citations
06 Apr 2011
TL;DR: The characteristics of women giving birth and the circumstances of births in which epidural or spinal anesthesia is used to relieve the pain of labor for vaginal deliveries are described to describe the characteristics of the mother and of labor among vaginal deliveries in the 27-state reporting area.
Abstract: Objectives This report presents 2008 data on receipt of epidural and spinal anesthesia as collected on the 2003 U.S. Standard Certificate of Live Birth. The purpose of this report is to describe the characteristics of women giving birth and the circumstances of births in which epidural or spinal anesthesia is used to relieve the pain of labor for vaginal deliveries. Methods Descriptive statistics are presented on births occurring in 2008 to residents of 27 states that had implemented the 2003 U.S. Standard Certificate of Live Birth as of January 1, 2008. Analyses are limited to singleton births in vaginal deliveries that occurred in the 27-state reporting area only and are not generalizable to the United States as a whole. Results Overall, 61 percent of women who had a singleton birth in a vaginal delivery in the 27 states in 2008 received epidural or spinal anesthesia; non-Hispanic white women received epidural or spinal anesthesia more often (69 percent) than other racial groups. Among Hispanic origin groups, Puerto Rican women were most likely to receive epidural or spinal anesthesia (68 percent). Levels of treatment with epidural or spinal anesthesia decreased by advancing age of mother. Levels increased with increasing maternal educational attainment. Early initiation of prenatal care increased the likelihood of epidural or spinal anesthesia receipt, as did attendance at birth by a physician. Use of epidural or spinal anesthesia was more common in vaginal deliveries assisted by forceps (84 percent) or vacuum extraction (77 percent) than in spontaneous vaginal deliveries (60 percent). Use of epidural or spinal anesthesia was less likely when infants were born prior to 34 weeks of gestation or weighed less than 1,500 grams. Women with chronic and gestational diabetes were more likely to receive an epidural or spinal anesthesia than women with no pregnancy risk factors. Precipitous labor (less than 3 hours) was associated with decreased epidural or spinal anesthesia receipt. longer second stage of labor, and fetal distress (compared with women who receive opiates intravenously or by injection) (1,5,6). Severe headache, maternal hypotension, maternal fever, and urinary retention have also been associated with epidural/spinal anesthesia receipt (5). This report examines the relationship between epidural/spinal anesthesia receipt and selected characteristics of the mother and of labor among vaginal deliveries in the 27-state reporting area as reported on the 2003 U.S. Standard Certificate of Live Birth.
185 citations
"Statistical shape model to 3D ultra..." refers background in this paper
...Epidural injection of anesthesia is also common in obstetrics, with 50-80% of women in labour electing to receive an epidural injection [2]....
[...]
...Although these injection procedures are common, accessing the lumbar epidural space and the facet joint can still present difficulties [2]....
[...]
TL;DR: This paper proposes a phase-based feature detection method to be used as the front end to higher-level 2D+T/3D-T reconstruction algorithms and shows how this temporal-based algorithm helps to reduce the number of spurious feature responses due to speckle and provides feature velocity estimates.
170 citations