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Ozcamdalli M, Misir A, Oguzkaya S, Kizkapan TB, Turk OI, Uzun E. The effect of lumbar facet joint injection levels on spinopelvic parameters and functional outcome. J Back Musculoskelet Rehabil 2021; 34:103-109. [PMID: 33104017 DOI: 10.3233/bmr-200067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Low back pain is a very common musculoskeletal complaint that impacts patients' quality of life in numerous ways. Facet joint injection is a widely used spinal intervention to relieve back pain. Effects of facet joint injection on spinopelvic parameters and the relationship between injection levels and spinopelvic parameter changes have not been evaluated before. OBJECTIVE To compare spinopelvic parameters before and after injections at different levels, and to evaluate the correlation between these changes and functional outcome. METHODS 144 patients were included in the study and retrospectively grouped by injection level: Group 1 (n= 72), L4-L5 and L5-S1, and group 2 (n= 72), L1-L2, L2-L3, L3-L4, L4-L5 and L5-S1. Pre- and post-injection Oswestry Disability Index (ODI), sacral slope, pelvic tilt, pelvic incidence, and intervertebral angles between T12 and S1 were compared. The correlation between ODI and radiographic parameter changes was evaluated. RESULTS The pre- to post-injection ODI change was significantly lower in group 2 (p= 0.010). There was no significant difference between the groups in terms of pre- and post-injection spinopelvic parameters before and after injection (p> 0.05) except pelvic tilt (p= 0.001 and p= 0.007, respectively). There was a significant moderate positive correlation between the change in the ODI value and the change in pelvic tilt (P= 0.012, r= 0.581). CONCLUSIONS Multilevel lumbar facet injections are clinically more effective than only two-level lower level lumbar injections. Pelvic tilt changes positively correlate with the ODI score changes.
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Affiliation(s)
- Mustafa Ozcamdalli
- Department of Orthopaedics and Traumatology, Ahi Evran University Faculty of Medicine, Kirsehir, Turkey
| | - Abdulhamit Misir
- Department of Orthopaedics and Traumatology, Gaziosmanpasa Training and Research Hospital, Health Sciences University, Istanbul, Turkey
| | - Sinan Oguzkaya
- Department of Orthopaedics and Traumatology, Sivas Sarkisla State Hospital, Sivas, Turkey
| | - Turan Bilge Kizkapan
- Department of Orthopaedics and Traumatology, Bursa Cekirge State Hospital, Bursa, Turkey
| | - Ozgur Ismail Turk
- Department of Orthopaedics and Traumatology, Sirnak Cizre State Hospital, Sirnak, Turkey
| | - Erdal Uzun
- Department of Orthopaedics and Traumatology, Faculty of Medicine, Erciyes University, Kayseri, Turkey
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Gueziri HE, Yan CXB, Collins DL. Open-source software for ultrasound-based guidance in spinal fusion surgery. ULTRASOUND IN MEDICINE & BIOLOGY 2020; 46:3353-3368. [PMID: 32907772 DOI: 10.1016/j.ultrasmedbio.2020.08.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 07/10/2020] [Accepted: 08/05/2020] [Indexed: 06/11/2023]
Abstract
Spinal instrumentation and surgical manipulations may cause loss of navigation accuracy requiring an efficient re-alignment of the patient anatomy with pre-operative images during surgery. While intra-operative ultrasound (iUS) guidance has shown clear potential to reduce surgery time, compared with clinical computed tomography (CT) guidance, rapid registration aiming to correct for patient misalignment has not been addressed. In this article, we present an open-source platform for pedicle screw navigation using iUS imaging. The alignment method is based on rigid registration of CT to iUS vertebral images and has been designed for fast and fully automatic patient re-alignment in the operating room. Two steps are involved: first, we use the iUS probe's trajectory to achieve an initial coarse registration; then, the registration transform is refined by simultaneously optimizing gradient orientation alignment and mean of iUS intensities passing through the CT-defined posterior surface of the vertebra. We evaluated our approach on a lumbosacral section of a porcine cadaver with seven vertebral levels. We achieved a median target registration error of 1.47 mm (100% success rate, defined by a target registration error <2 mm) when applying the probe's trajectory initial alignment. The approach exhibited high robustness to partial visibility of the vertebra with success rates of 89.86% and 88.57% when missing either the left or right part of the vertebra and robustness to initial misalignments with a success rate of 83.14% for random starts within ±20° rotation and ±20 mm translation. Our graphics processing unit implementation achieves an efficient registration time under 8 s, which makes the approach suitable for clinical application.
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Affiliation(s)
- Houssem-Eddine Gueziri
- McConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
| | - Charles X B Yan
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - D Louis Collins
- McConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
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Gueziri HE, Santaguida C, Collins DL. The state-of-the-art in ultrasound-guided spine interventions. Med Image Anal 2020; 65:101769. [PMID: 32668375 DOI: 10.1016/j.media.2020.101769] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 06/23/2020] [Accepted: 06/25/2020] [Indexed: 02/07/2023]
Abstract
During the last two decades, intra-operative ultrasound (iUS) imaging has been employed for various surgical procedures of the spine, including spinal fusion and needle injections. Accurate and efficient registration of pre-operative computed tomography or magnetic resonance images with iUS images are key elements in the success of iUS-based spine navigation. While widely investigated in research, iUS-based spine navigation has not yet been established in the clinic. This is due to several factors including the lack of a standard methodology for the assessment of accuracy, robustness, reliability, and usability of the registration method. To address these issues, we present a systematic review of the state-of-the-art techniques for iUS-guided registration in spinal image-guided surgery (IGS). The review follows 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. We provide a detailed analysis of the measurements in terms of accuracy, robustness, reliability, and usability that need to be met during the evaluation of a spinal IGS framework. Although this review is focused on spinal navigation, we expect similar evaluation criteria to be relevant for other IGS applications.
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Affiliation(s)
- Houssem-Eddine Gueziri
- McConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, Montreal (QC), Canada; McGill University, Montreal (QC), Canada.
| | - Carlo Santaguida
- Department of Neurology and Neurosurgery, McGill University Health Center, Montreal (QC), Canada
| | - D Louis Collins
- McConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, Montreal (QC), Canada; McGill University, Montreal (QC), Canada
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Alimohamadi Gilakjan S, Majedi H, Makki Abadi B, Ahmadian A. Spinal pain relief procedures with the assistance of the MRI-updated statistical shape model. Int J Med Robot 2020; 16:e2085. [PMID: 31995264 DOI: 10.1002/rcs.2085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 01/20/2020] [Accepted: 01/23/2020] [Indexed: 11/11/2022]
Abstract
BACKGROUND Updating the statistical shape model (SSM) used in image guidance systems for the treatment of back pain using pre-op computed tomography (CT) and intra-op ultrasound (US) is challenging due to the scarce availability of pre-op images and the low resolution of the two imaging modalities. METHODS A new approach is proposed here to update SSMs based on the sparse representation of the preoperative MRI images of patients as well as CT images, followed by displaying the injection needle and 3D tracking view of the patients' spine. RESULTS The statistical analysis shows that updating the SSM using the patients' available MRI images (in more than 95% of the cases) instead of CT images (in less than 5%) will help maintain the required accuracy of needle injection based on the evaluation of injection in different parts of the phantom. CONCLUSION The results show that using the proposed model helps reduce the dosage and processing time significantly while maintaining the precision required for the pain procedures.
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Affiliation(s)
- Samaneh Alimohamadi Gilakjan
- Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.,Image-Guided Intervention Group, Research Centre of Biomedical Technology and Robotics (RCBTR), Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Majedi
- Department of Anesthesiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bahador Makki Abadi
- Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Alireza Ahmadian
- Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.,Image-Guided Intervention Group, Research Centre of Biomedical Technology and Robotics (RCBTR), Tehran University of Medical Sciences, Tehran, Iran
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Porto LR, Tang R, Sawka A, Lessoway V, Anas EMA, Behnami D, Abolmaesumi P, Rohling R. Comparison of Patient Position and Midline Lumbar Neuraxial Access Via Statistical Model Registration to Ultrasound. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:255-263. [PMID: 30292460 DOI: 10.1016/j.ultrasmedbio.2018.08.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2018] [Revised: 08/09/2018] [Accepted: 08/20/2018] [Indexed: 06/08/2023]
Abstract
Patient positioning and needle puncture site are important for lumbar neuraxial anesthesia. We sought to identify optimal patient positioning and puncture sites with a novel ultrasound registration. We registered a statistical model to volumetric ultrasound data acquired from volunteers (n = 10) in three positions: (i) prone; (ii) seated with thoracic and lumbar flexion; and (iii) seated as in position ii, with a 10° dorsal tilt. We determined injection target size and penetration success by simulating lumbar injections on validated registered models. Injection window and target area sizes in seated positions were significantly larger than those in prone positions by 65% in L2-3 and 130% in L3-4; a 10° tilt had no significant effect on target sizes between seated positions. In agreement with computed tomography studies, simulated L2-3 and L3-4 injections had the highest success at the 50% and 75% midline puncture sites, respectively, measured from superior to inferior spinous process. We conclude that our registration to ultrasound technique is a potential tool for tolerable determination of puncture site success in vivo.
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Affiliation(s)
- Lucas Resque Porto
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada.
| | - Raymond Tang
- Department of Anesthesiology, Vancouver General Hospital, Vancouver, Canada
| | - Andrew Sawka
- Department of Anesthesiology, Vancouver General Hospital, Vancouver, Canada
| | | | - Emran Mohammad Abu Anas
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada
| | - Delaram Behnami
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada
| | - Purang Abolmaesumi
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada
| | - Robert Rohling
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada
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De Silva T, Uneri A, Zhang X, Ketcha M, Han R, Sheth N, Martin A, Vogt S, Kleinszig G, Belzberg A, Sciubba DM, Siewerdsen JH. Real-time, image-based slice-to-volume registration for ultrasound-guided spinal intervention. Phys Med Biol 2018; 63:215016. [PMID: 30372418 DOI: 10.1088/1361-6560/aae761] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Real-time fusion of magnetic resonance (MR) and ultrasound (US) images could facilitate safe and accurate needle placement in spinal interventions. We develop an entirely image-based registration method (independent of or complementary to surgical trackers) that includes an efficient US probe pose initialization algorithm. The registration enables the simultaneous display of 2D ultrasound image slices relative to 3D pre-procedure MR images for navigation. A dictionary-based 3D-2D pose initialization algorithm was developed in which likely probe positions are predefined in a dictionary with feature encoding by Haar wavelet filters. Feature vectors representing the 2D US image are computed by scaling and translating multiple Haar basis filters to capture scale, location, and relative intensity patterns of distinct anatomical features. Following pose initialization, fast 3D-2D registration was performed by optimizing normalized cross-correlation between intra- and pre-procedure images using Powell's method. Experiments were performed using a lumbar puncture phantom and a fresh cadaver specimen presenting realistic image quality in spinal US imaging. Accuracy was quantified by comparing registration transforms to ground truth motion imparted by a computer-controlled motion system and calculating target registration error (TRE) in anatomical landmarks. Initialization using a 315-length feature vector yielded median translation accuracy of 2.7 mm (3.4 mm interquartile range, IQR) in the phantom and 2.1 mm (2.5 mm IQR) in the cadaver. By comparison, storing the entire image set in the dictionary and optimizing correlation yielded a comparable median accuracy of 2.1 mm (2.8 mm IQR) in the phantom and 2.9 mm (3.5 mm IQR) in the cadaver. However, the dictionary-based method reduced memory requirements by 47× compared to storing the entire image set. The overall 3D error after registration measured using 3D landmarks was 3.2 mm (1.8 mm IQR) mm in the phantom and 3.0 mm (2.3 mm IQR) mm in the cadaver. The system was implemented in a 3D Slicer interface to facilitate translation to clinical studies. Haar feature based initialization provided accuracy and robustness at a level that was sufficient for real-time registration using an entirely image-based method for ultrasound navigation. Such an approach could improve the accuracy and safety of spinal interventions in broad utilization, since it is entirely software-based and can operate free from the cost and workflow requirements of surgical trackers.
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Affiliation(s)
- T De Silva
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, United States of America
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Abstract
Ultrasound is a real-time, non-radiation-based imaging modality with an ability to acquire two-dimensional (2D) and three-dimensional (3D) data. Due to these capabilities, research has been carried out in order to incorporate it as an intraoperative imaging modality for various orthopedic surgery procedures. However, high levels of noise, different imaging artifacts, and bone surfaces appearing blurred with several mm in thickness have prohibited the widespread use of ultrasound as a standard of care imaging modality in orthopedics. In this chapter, we provided a detailed overview of numerous applications of 3D ultrasound in the domain of orthopedic surgery. Specifically, we discuss the advantages and disadvantages of methods proposed for segmentation and enhancement of bone ultrasound data and the successful application of these methods in clinical domain. Finally, a number of challenges are identified which need to be overcome in order for ultrasound to become a preferred imaging modality in orthopedics.
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Robotic ultrasound-guided facet joint insertion. Int J Comput Assist Radiol Surg 2018; 13:895-904. [DOI: 10.1007/s11548-018-1759-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Accepted: 03/27/2018] [Indexed: 02/07/2023]
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Pesteie M, Lessoway V, Abolmaesumi P, Rohling RN. Automatic Localization of the Needle Target for Ultrasound-Guided Epidural Injections. IEEE TRANSACTIONS ON MEDICAL IMAGING 2018; 37:81-92. [PMID: 28809679 DOI: 10.1109/tmi.2017.2739110] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Accurate identification of the needle target is crucial for effective epidural anesthesia. Currently, epidural needle placement is administered by a manual technique, relying on the sense of feel, which has a significant failure rate. Moreover, misleading the needle may lead to inadequate anesthesia, post dural puncture headaches, and other potential complications. Ultrasound offers guidance to the physician for identification of the needle target, but accurate interpretation and localization remain challenges. A hybrid machine learning system is proposed to automatically localize the needle target for epidural needle placement in ultrasound images of the spine. In particular, a deep network architecture along with a feature augmentation technique is proposed for automatic identification of the anatomical landmarks of the epidural space in ultrasound images. Experimental results of the target localization on planes of 3-D as well as 2-D images have been compared against an expert sonographer. When compared with the expert annotations, the average lateral and vertical errors on the planes of 3-D test data were 1 and 0.4 mm, respectively. On 2-D test data set, an average lateral error of 1.7 mm and vertical error of 0.8 mm were acquired.
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10
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Model-based registration of preprocedure MR and intraprocedure US of the lumbar spine. Int J Comput Assist Radiol Surg 2017; 12:973-982. [DOI: 10.1007/s11548-017-1552-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 02/27/2017] [Indexed: 10/19/2022]
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Chen F, Liu J, Liao H. 3D Catheter Shape Determination for Endovascular Navigation Using a Two-Step Particle Filter and Ultrasound Scanning. IEEE TRANSACTIONS ON MEDICAL IMAGING 2017; 36:685-695. [PMID: 28114008 DOI: 10.1109/tmi.2016.2635673] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
In endovascular catheter interventions, the determination of the three-dimensional (3D) catheter shape can increase navigation information and help reduce trauma. This study describes a shape determination method for a flexible interventional catheter using ultrasound scanning and a two-step particle filter without X-ray fluoroscopy. First, we propose a multi-feature, multi-template particle filter algorithm for accurate catheter tracking from ultrasound images. Second, we model the mechanical behavior of the catheter and apply a particle filter shape optimization algorithm to refine the results from the first step. Finally, the acquired catheter's 3D shapes are displayed together with the preoperative 3D images of the cardiac structures to provide intuitive endovascular navigation. We validated our method using ultrasound scanning of the straight and curved catheters in a water tank, and the shape determination errors were 1.44 ± 0.38 mm and 1.95 ± 0.46 mm, respectively. Further, endovascular catheter shape determination was validated in a catheter intervention experiment with a heart phantom. The error of the acquired endovascular catheter shape was 2.23 ± 0.87 mm. These results demonstrate that our two-step method is both accurate and effective. Using ultrasound scanning for shape determination of a flexible catheter will be helpful in endovascular interventions, reducing exposure to radiation and providing rich navigation information.
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Seitel A, Sojoudi S, Osborn J, Rasoulian A, Nouranian S, Lessoway VA, Rohling RN, Abolmaesumi P. Ultrasound-Guided Spine Anesthesia: Feasibility Study of a Guidance System. ULTRASOUND IN MEDICINE & BIOLOGY 2016; 42:3043-3049. [PMID: 27592559 DOI: 10.1016/j.ultrasmedbio.2016.07.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 05/19/2016] [Accepted: 07/09/2016] [Indexed: 06/06/2023]
Abstract
Spinal needle injections are guided by fluoroscopy or palpation, resulting in radiation exposure and/or multiple needle re-insertions. Consequently, guiding these procedures with live ultrasound has become more popular, but images are still challenging to interpret. We introduce a guidance system based on augmentation of ultrasound images with a patient-specific 3-D surface model of the lumbar spine. We assessed the feasibility of the system in a study on 12 patients. The system could accurately provide augmentations of the epidural space and the facet joint for all subjects. Following conventional, fluoroscopy-guided needle placement, augmentation accuracy was determined according to the electromagnetically tracked final position of the needle. In 9 of 12 cases, the accuracy was considered sufficient for successfully delivering anesthesia. The unsuccessful cases can be attributed to errors in the electromagnetic tracking reference, which can be avoided by a setup reducing the influence of the metal C-arm.
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Affiliation(s)
- Alexander Seitel
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Samira Sojoudi
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jill Osborn
- Department of Anesthesia, St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - Abtin Rasoulian
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Saman Nouranian
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Victoria A Lessoway
- Ultrasound Department, BC Women's Hospital, Vancouver, British Columbia, Canada
| | - Robert N Rohling
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada; Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Purang Abolmaesumi
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
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Ultrasound indications for chronic pain management: an update on the most recent evidence. Curr Opin Anaesthesiol 2016; 29:600-5. [PMID: 27388794 DOI: 10.1097/aco.0000000000000369] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW The ability of ultrasound to provide detailed anatomic visualization while avoiding radiation exposure continues to make it an appealing tool for many practitioners of chronic pain management. This review will present the most recent evidence regarding the use of ultrasound-guidance for the performance of interventional procedures in the treatment of chronic pain. RECENT FINDINGS For a variety of different procedures, studies continue to compare ultrasound-guided techniques to commonly used fluoroscopic or landmark-based techniques. Small, randomized controlled trials are beginning to demonstrate that ultrasound-guided approaches to interventional pain procedures can be as well tolerated and effective as the traditionally used techniques, while providing some potential advantages in terms of decreased radiation exposure, avoidance of vascular structures, and in some cases, improved efficiency and decreased rates of adverse effects. SUMMARY Despite continued interest in ultrasound-guided techniques for chronic pain management procedures, the evidence is still limited mainly to small, randomized trials and case series. For some procedures, such as stellate ganglion block and peripheral joint injections, recent evidence appears to be tilting in favor of ultrasound-guidance as the preferred technique, though fluoroscopy continues to be a much more reliable method for detection of intravascular uptake of injectate.
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Hierarchical CT to Ultrasound Registration of the Lumbar Spine: A Comparison with Other Registration Methods. Ann Biomed Eng 2016; 44:2887-2900. [DOI: 10.1007/s10439-016-1599-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 03/24/2016] [Indexed: 10/22/2022]
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15
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Behnami D, Seitel A, Rasoulian A, Anas EMA, Lessoway V, Osborn J, Rohling R, Abolmaesumi P. Joint registration of ultrasound, CT and a shape+pose statistical model of the lumbar spine for guiding anesthesia. Int J Comput Assist Radiol Surg 2016; 11:937-45. [DOI: 10.1007/s11548-016-1369-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Accepted: 02/26/2016] [Indexed: 11/30/2022]
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