3D Ultrasound

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Graham M. Treece - One of the best experts on this subject based on the ideXlab platform.

  • Particle swarm optimization for in vivo 3D Ultrasound volume registration
    Acoustical Imaging, 2011
    Co-Authors: Umer Zeeshan Ijaz, Andrew H. Gee, Richard W. Prager, Graham M. Treece
    Abstract:

    As three-dimensional (3D) Ultrasound is becoming more and more popular, there has been increased interest in using a position sensor to track the trajectory of the 3D Ultrasound probe during the scan. One application is the improvement of image quality by fusion of multiple scans from different orientations. With a position sensor mounted on the probe, the clinicians face additional difficulties, for example, maintaining a line-of-sight between the sensor and the reference point. Therefore, the objective of this paper is to register the volumes using an automatic image-based registration technique. In this paper, we employ the particle swarm optimization (PSO) technique to calculate the six rigid-body transformation parameters (three for translation and three for rotation) between successive volumes of 3D Ultrasound data. We obtain vertical and horizontal slices through the acquired volumes and then use an intensity-based similarity measure as a fitness function for each particle. We considered various settings in the PSO to find a set of parameters to give the best convergence. We found the visually acceptable registration when the initial orientations of the particles were confined to within a few degrees of the orientations obtained from position sensor.

  • A Study of Similarity Measures for In Vivo 3D Ultrasound Volume Registration
    Acoustical Imaging, 2011
    Co-Authors: Umer Zeeshan Ijaz, Andrew H. Gee, Richard W. Prager, Graham M. Treece
    Abstract:

    Most of the conventional Ultrasound machines in hospitals work in two dimensions. However, there are some applications where doctors would like to be able to gather Ultrasound data as a three-dimensional (3D) block rather than a two-dimensional (2D) slice. Two different types of 3D Ultrasound have been developed to meet this requirement. One type involves a special probe that can record a fixed block of data, either by having an internal sweeping mechanism or by using electronic steering. The other type of 3D Ultrasound uses a conventional 2D Ultrasound probe together with a position sensor and is called freehand 3D Ultrasound. A natural progression of the mechanically-swept 3D Ultrasound system is to combine it with the free hand sensor. This results in an extended field of view. There are two major problems with using a position sensor. Firstly, line-of-sight needs to be maintained between the sensor and the reference point. Secondly, the multiple volumes rarely register because of tissue displacement and deformation. Therefore, the objective of this paper is to get rid of the inconvenient position sensor and to use an automatic image-based registration technique. We provide an experimental study of several intensity-based similarity measures for the registration of 3D Ultrasound volumes. Rather than choosing a conventional voxel array to represent the 3D blocks, we use corresponding vertical and horizontal image slices from the blocks to be matched. This limits the amount of data thus making the calculation of the similarity measure less computationally expensive.

  • RF and amplitude-based probe pressure correction for 3D Ultrasound.
    Ultrasound in Medicine & Biology, 2005
    Co-Authors: Graham M. Treece, Andrew H. Gee, Richard W. Prager
    Abstract:

    Anatomical deformation caused by variable probe contact pressure is a significant problem in freehand 3D Ultrasound, particularly for high resolution musculoskeletal and breast scans. We have previously published an amplitude-based algorithm for correcting such errors. In this paper, we compare this approach with a novel, elastography-inspired algorithm which works with the higher resolution radio-frequency (RF) signal. The results show that, although the RF-based algorithm is more precise in certain circumstances, both algorithms are able to compensate for probe pressure in 3D Ultrasound data. Consequently, freehand 3D Ultrasound users who do not have access to the RF signal are still in a position to perform effective probe pressure correction using the readily available video output, as long as this signal is not affected by significant amounts of frame averaging (persistence).

  • correction of probe pressure artifacts in freehand 3D Ultrasound
    Medical Image Analysis, 2002
    Co-Authors: Graham M. Treece, R W Prage, A H Gee, Laurence Erma
    Abstract:

    We present an algorithm which combines non-rigid image-based registration and conventional position sensing to correct probe-pressure-induced registration errors in freehand three-dimensional (3D) Ultrasound volumes. The local accuracy of image-based registration enables the accurate freehand acquisition of high resolution (>15 MHz) 3D Ultrasound data, opening the way for 3D musculoskeletal examinations. External position sensor readings guarantee the large-scale positional accuracy of the data. Pressure correction is shown to dramatically increase the perceived quality of extended-field-of-view data sets and reslices through volumetric data sets, while quantitative comparisons of multiple in vivo volumes demonstrate the superior precision of the corrected data.

  • Freehand 3D Ultrasound without voxels: volume measurement and visualisation using the Stradx system.
    Ultrasonics, 2002
    Co-Authors: Richard W. Prager, Andrew H. Gee, Graham M. Treece, L. Berman
    Abstract:

    This paper describes recent developments in the Stradx freehand 3D Ultrasound system. Unlike other systems, Stradx works directly from the raw B-scans and their relative positions, without first resampling this unstructured data onto a regular voxel array. The paper discusses the many advantages of this unique approach, and presents new developments in the visualisation and quantitative analysis of freehand 3D Ultrasound data, including novel volume rendering schemes and a robust method to compensate for the effects of varying probe pressure.

Jocelyne Troccaz - One of the best experts on this subject based on the ideXlab platform.

  • Efficient target tracking for 3D Ultrasound-guided needle steering
    2020
    Co-Authors: Guillaume Lapouge, Philippe Poignet, Gaelle Fiard, Jocelyne Troccaz
    Abstract:

    3D Ultrasound imaging can be used in the context of robotic needle steering to reach a physical target with a flexible, steerable needle. During the insertion, the tissue may be deformed by the inserted needle, patient breathing or external force application. It may therefore be necessary to track intra-operatively the displacement of the target. Most Ultrasound based needle steering works concentrate on 2D Ultrasound probes [1], [2], [3] which do not allow to simultaneously track both the target and the needle during 3D needle steering. Physical target tracking in 3D Ultrasound-guided needle steering is seldom carried out [4][5], and may require computational power that is precious for intra-operative needle steering. This paper proposes a new approach for computationally inexpensive and precise tracking of a moving target in 3D B-mode Ultrasound volumes. It is based on the interconnection of intensity-based tracking and motion estimation algorithms. The intensity-based tracking consists in a 3D extension of the Diamond Shape block matching algorithm, used here for the first time in 3D Ultrasound volumes for tissue tracking. The motion estimation is done by linear Kalman filtering. It predicts the next target position and ensures faster and more robust convergence of the Diamond Shape block matching algorithm. An experimental validation on ex-vivo tissue is proposed with promising tracking precision (estimated average error of 0.3mm) while significantly lowering the computational cost when compared to classical block matching based tracking.

  • Needle localization for needle steering under 3D Ultrasound feedback
    2018
    Co-Authors: Guillaume Lapouge, Jocelyne Troccaz, Philippe Poignet
    Abstract:

    In needle steering, estimating the needle pose is a critical problem. In 3D Ultrasound volumes, fine needle localization is difficult and requires a combination of estimation and image processing to be successful. Indeed, 3D Ultrasound imaging suffers from noise, artifacts and works at a low frequency. We propose a needle tip pose estimation method in the context of 3D robotic needle steering under 3D Ultrasound feedback, based on multi-rate, multi-sensor fusion [1].

  • A 3D Ultrasound Robotic Prostate Brachytherapy System with Prostate Motion Tracking
    IEEE Transactions on Robotics, 2012
    Co-Authors: Nikolai Hungr, Michael Baumann, Jean-alexandre Long, Jocelyne Troccaz
    Abstract:

    This paper describes a new three-dimensional (3D) Ultrasound robotic prostate brachytherapy system. It uses a stationary 3D Ultrasound probe rigidly fixed to a robotic needle insertion mechanism. The novelty of the system is its ability to track prostate motion intra-operatively to allow the dose planning and needle trajectories or depths to be adapted to take into account these motions. Prostate tracking is done using a fast 3D Ultrasound registration algorithm previously validated for biopsy guidance. The 7 degree of freedom robot and Ultrasound probe are calibrated together with an accuracy of 0.9mm, allowing the needles to be precisely inserted to the seed targets chosen in the reference Ultrasound image. Experiments were conducted on mobile deformable synthetic prostate phantoms, using a prototype laboratory system. Results showed that, with prostate motions of up to 7mm, the system was able to reach the chosen targets with less than 2mm accuracy in the needle insertion direction. This measured accuracy included extrinsic measurement errors of up to 1.1mm. A preliminary cadaver feasibility study was also described, in preparation for more realistic experimentation of the system.

Richard W. Prager - One of the best experts on this subject based on the ideXlab platform.

  • A Study of Similarity Measures for In Vivo 3D Ultrasound Volume Registration
    Acoustical Imaging, 2011
    Co-Authors: Umer Zeeshan Ijaz, Andrew H. Gee, Richard W. Prager, Graham M. Treece
    Abstract:

    Most of the conventional Ultrasound machines in hospitals work in two dimensions. However, there are some applications where doctors would like to be able to gather Ultrasound data as a three-dimensional (3D) block rather than a two-dimensional (2D) slice. Two different types of 3D Ultrasound have been developed to meet this requirement. One type involves a special probe that can record a fixed block of data, either by having an internal sweeping mechanism or by using electronic steering. The other type of 3D Ultrasound uses a conventional 2D Ultrasound probe together with a position sensor and is called freehand 3D Ultrasound. A natural progression of the mechanically-swept 3D Ultrasound system is to combine it with the free hand sensor. This results in an extended field of view. There are two major problems with using a position sensor. Firstly, line-of-sight needs to be maintained between the sensor and the reference point. Secondly, the multiple volumes rarely register because of tissue displacement and deformation. Therefore, the objective of this paper is to get rid of the inconvenient position sensor and to use an automatic image-based registration technique. We provide an experimental study of several intensity-based similarity measures for the registration of 3D Ultrasound volumes. Rather than choosing a conventional voxel array to represent the 3D blocks, we use corresponding vertical and horizontal image slices from the blocks to be matched. This limits the amount of data thus making the calculation of the similarity measure less computationally expensive.

  • Particle swarm optimization for in vivo 3D Ultrasound volume registration
    Acoustical Imaging, 2011
    Co-Authors: Umer Zeeshan Ijaz, Andrew H. Gee, Richard W. Prager, Graham M. Treece
    Abstract:

    As three-dimensional (3D) Ultrasound is becoming more and more popular, there has been increased interest in using a position sensor to track the trajectory of the 3D Ultrasound probe during the scan. One application is the improvement of image quality by fusion of multiple scans from different orientations. With a position sensor mounted on the probe, the clinicians face additional difficulties, for example, maintaining a line-of-sight between the sensor and the reference point. Therefore, the objective of this paper is to register the volumes using an automatic image-based registration technique. In this paper, we employ the particle swarm optimization (PSO) technique to calculate the six rigid-body transformation parameters (three for translation and three for rotation) between successive volumes of 3D Ultrasound data. We obtain vertical and horizontal slices through the acquired volumes and then use an intensity-based similarity measure as a fitness function for each particle. We considered various settings in the PSO to find a set of parameters to give the best convergence. We found the visually acceptable registration when the initial orientations of the particles were confined to within a few degrees of the orientations obtained from position sensor.

  • RF and amplitude-based probe pressure correction for 3D Ultrasound.
    Ultrasound in Medicine & Biology, 2005
    Co-Authors: Graham M. Treece, Andrew H. Gee, Richard W. Prager
    Abstract:

    Anatomical deformation caused by variable probe contact pressure is a significant problem in freehand 3D Ultrasound, particularly for high resolution musculoskeletal and breast scans. We have previously published an amplitude-based algorithm for correcting such errors. In this paper, we compare this approach with a novel, elastography-inspired algorithm which works with the higher resolution radio-frequency (RF) signal. The results show that, although the RF-based algorithm is more precise in certain circumstances, both algorithms are able to compensate for probe pressure in 3D Ultrasound data. Consequently, freehand 3D Ultrasound users who do not have access to the RF signal are still in a position to perform effective probe pressure correction using the readily available video output, as long as this signal is not affected by significant amounts of frame averaging (persistence).

  • Freehand 3D Ultrasound without voxels: volume measurement and visualisation using the Stradx system.
    Ultrasonics, 2002
    Co-Authors: Richard W. Prager, Andrew H. Gee, Graham M. Treece, L. Berman
    Abstract:

    This paper describes recent developments in the Stradx freehand 3D Ultrasound system. Unlike other systems, Stradx works directly from the raw B-scans and their relative positions, without first resampling this unstructured data onto a regular voxel array. The paper discusses the many advantages of this unique approach, and presents new developments in the visualisation and quantitative analysis of freehand 3D Ultrasound data, including novel volume rendering schemes and a robust method to compensate for the effects of varying probe pressure.

  • Correction of probe pressure artifacts in freehand 3D Ultrasound - initial results
    2001
    Co-Authors: Graham M. Treece, Andrew H. Gee, Richard W. Prager, Lh Berman
    Abstract:

    We present an algorithm which combines non-rigid image-based registration and conventional position sensing to correct probe-pressure-induced registration errors in freehand threedimensional (3D) Ultrasound volumes. The local accuracy of image-based registration enables the accurate freehand acquisition of high resolution (> 15MHz) 3D Ultrasound data, opening the way for 3D musculoskeletal examinations. External position sensor readings guarantee the large-scale positional accuracy of the data. The algorithm is shown to increase both the clarity and accuracy of reslices through in vivo volumetric data sets.

Andrew H. Gee - One of the best experts on this subject based on the ideXlab platform.

  • A Study of Similarity Measures for In Vivo 3D Ultrasound Volume Registration
    Acoustical Imaging, 2011
    Co-Authors: Umer Zeeshan Ijaz, Andrew H. Gee, Richard W. Prager, Graham M. Treece
    Abstract:

    Most of the conventional Ultrasound machines in hospitals work in two dimensions. However, there are some applications where doctors would like to be able to gather Ultrasound data as a three-dimensional (3D) block rather than a two-dimensional (2D) slice. Two different types of 3D Ultrasound have been developed to meet this requirement. One type involves a special probe that can record a fixed block of data, either by having an internal sweeping mechanism or by using electronic steering. The other type of 3D Ultrasound uses a conventional 2D Ultrasound probe together with a position sensor and is called freehand 3D Ultrasound. A natural progression of the mechanically-swept 3D Ultrasound system is to combine it with the free hand sensor. This results in an extended field of view. There are two major problems with using a position sensor. Firstly, line-of-sight needs to be maintained between the sensor and the reference point. Secondly, the multiple volumes rarely register because of tissue displacement and deformation. Therefore, the objective of this paper is to get rid of the inconvenient position sensor and to use an automatic image-based registration technique. We provide an experimental study of several intensity-based similarity measures for the registration of 3D Ultrasound volumes. Rather than choosing a conventional voxel array to represent the 3D blocks, we use corresponding vertical and horizontal image slices from the blocks to be matched. This limits the amount of data thus making the calculation of the similarity measure less computationally expensive.

  • Particle swarm optimization for in vivo 3D Ultrasound volume registration
    Acoustical Imaging, 2011
    Co-Authors: Umer Zeeshan Ijaz, Andrew H. Gee, Richard W. Prager, Graham M. Treece
    Abstract:

    As three-dimensional (3D) Ultrasound is becoming more and more popular, there has been increased interest in using a position sensor to track the trajectory of the 3D Ultrasound probe during the scan. One application is the improvement of image quality by fusion of multiple scans from different orientations. With a position sensor mounted on the probe, the clinicians face additional difficulties, for example, maintaining a line-of-sight between the sensor and the reference point. Therefore, the objective of this paper is to register the volumes using an automatic image-based registration technique. In this paper, we employ the particle swarm optimization (PSO) technique to calculate the six rigid-body transformation parameters (three for translation and three for rotation) between successive volumes of 3D Ultrasound data. We obtain vertical and horizontal slices through the acquired volumes and then use an intensity-based similarity measure as a fitness function for each particle. We considered various settings in the PSO to find a set of parameters to give the best convergence. We found the visually acceptable registration when the initial orientations of the particles were confined to within a few degrees of the orientations obtained from position sensor.

  • RF and amplitude-based probe pressure correction for 3D Ultrasound.
    Ultrasound in Medicine & Biology, 2005
    Co-Authors: Graham M. Treece, Andrew H. Gee, Richard W. Prager
    Abstract:

    Anatomical deformation caused by variable probe contact pressure is a significant problem in freehand 3D Ultrasound, particularly for high resolution musculoskeletal and breast scans. We have previously published an amplitude-based algorithm for correcting such errors. In this paper, we compare this approach with a novel, elastography-inspired algorithm which works with the higher resolution radio-frequency (RF) signal. The results show that, although the RF-based algorithm is more precise in certain circumstances, both algorithms are able to compensate for probe pressure in 3D Ultrasound data. Consequently, freehand 3D Ultrasound users who do not have access to the RF signal are still in a position to perform effective probe pressure correction using the readily available video output, as long as this signal is not affected by significant amounts of frame averaging (persistence).

  • Freehand 3D Ultrasound without voxels: volume measurement and visualisation using the Stradx system.
    Ultrasonics, 2002
    Co-Authors: Richard W. Prager, Andrew H. Gee, Graham M. Treece, L. Berman
    Abstract:

    This paper describes recent developments in the Stradx freehand 3D Ultrasound system. Unlike other systems, Stradx works directly from the raw B-scans and their relative positions, without first resampling this unstructured data onto a regular voxel array. The paper discusses the many advantages of this unique approach, and presents new developments in the visualisation and quantitative analysis of freehand 3D Ultrasound data, including novel volume rendering schemes and a robust method to compensate for the effects of varying probe pressure.

  • Correction of probe pressure artifacts in freehand 3D Ultrasound - initial results
    2001
    Co-Authors: Graham M. Treece, Andrew H. Gee, Richard W. Prager, Lh Berman
    Abstract:

    We present an algorithm which combines non-rigid image-based registration and conventional position sensing to correct probe-pressure-induced registration errors in freehand threedimensional (3D) Ultrasound volumes. The local accuracy of image-based registration enables the accurate freehand acquisition of high resolution (> 15MHz) 3D Ultrasound data, opening the way for 3D musculoskeletal examinations. External position sensor readings guarantee the large-scale positional accuracy of the data. The algorithm is shown to increase both the clarity and accuracy of reslices through in vivo volumetric data sets.

Aaron Fenster - One of the best experts on this subject based on the ideXlab platform.

  • Mechanically-assisted 3D Ultrasound scanner for Urogynecological applications: preliminary results
    Medical Imaging 2020: Ultrasonic Imaging and Tomography, 2020
    Co-Authors: Golafsoun Ameri, Kevin Barker, Derek Sham, Aaron Fenster
    Abstract:

    Female pelvic floor dysfunction may manifest as pelvic organ prolapse (POP), urinary or fecal incontinence, pelvic pain or chronic constipation. POP is the descent of the pelvic organs into the vaginal cavity, affecting up to 50% of the female population. Diagnostic evaluation of POP is often performed via clinical examination (i.e. palpation). However, clinical examination is inefficient to assess structural abnormalities. There has been an increasing interest in the applications of Ultrasound imaging for pelvic floor imaging to better understand the pathophysiology of pelvic floor dysfunction and POP. This is in part due to the recent developments in three-dimensional (3D) and 4D Ultrasound imaging. However, despite its wide application in research, pelvic floor 3D Ultrasound has not been employed in the clinic for the assessment of POP, which is likely due to the high cost of 3D Ultrasound imaging systems. In this work, a cost-effective technique for acquiring 3D pelvic floor Ultrasound images using a conventional 2D curvilinear probe is presented and compared against commercial 3D probes. This is achieved by a hand-held, mechanically-assisted 3D Ultrasound scanner. This system has potential to decrease the cost of 3D pelvic floor Ultrasound imaging and increase its application for POP assessment.

  • A Molecular Image-directed, 3D Ultrasound-guided Biopsy System for the Prostate.
    Proceedings of SPIE--the International Society for Optical Engineering, 2012
    Co-Authors: Baowei Fei, Aaron Fenster, David M Schuster, Viraj Master, Hamed Akbari, Peter Nieh
    Abstract:

    Systematic transrectal Ultrasound (TRUS)-guided biopsy is the standard method for a definitive diagnosis of prostate cancer. However, this biopsy approach uses two-dimensional (2D) Ultrasound images to guide biopsy and can miss up to 30% of prostate cancers. We are developing a molecular image-directed, three-dimensional (3D) Ultrasound image-guided biopsy system for improved detection of prostate cancer. The system consists of a 3D mechanical localization system and software workstation for image segmentation, registration, and biopsy planning. In order to plan biopsy in a 3D prostate, we developed an automatic segmentation method based wavelet transform. In order to incorporate PET/CT images into Ultrasound-guided biopsy, we developed image registration methods to fuse TRUS and PET/CT images. The segmentation method was tested in ten patients with a DICE overlap ratio of 92.4% ± 1.1 %. The registration method has been tested in phantoms. The biopsy system was tested in prostate phantoms and 3D Ultrasound images were acquired from two human patients. We are integrating the system for PET/CT directed, 3D Ultrasound-guided, targeted biopsy in human patients.

  • 3D Ultrasound imaging of the carotid arteries.
    Current Drug Target -Cardiovascular & Hematological Disorders, 2004
    Co-Authors: Aaron Fenster, Donal B. Downey, Anthony Landry, Robert A. Hegele, J. David Spence
    Abstract:

    Although ultrasonography is an important cost-effective imaging modality, technical improvements are needed before its full potential is realized for accurate and reproducible monitoring of carotid disease and plaque burden. 2D viewing of 3D anatomy, using conventional ultrasonography limits our ability to quantify and visualize carotid disease and is partly responsible for the reported variability in diagnosis and monitoring of disease progression. Efforts of investigators have focused on overcoming these deficiencies by developing 3D Ultrasound imaging techniques that are capable of acquiring B-mode, color Doppler and power Doppler images of the carotid arteries using existing conventional Ultrasound systems, reconstructing the information into 3D images, and then allowing interactive viewing of the 3D images on inexpensive desktop computers. In addition, the availability of 3D Ultrasound images of the carotid arteries has allowed the development of techniques to quantify plaque volume and surface morphology as well as allowing registration with other 3D imaging modalities. This paper describes 3D Ultrasound imaging techniques used to image the carotid arteries and summarizes some of the developments aimed at quantifying plaque volume and morphology.

  • Visualization and Segmentation Techniques in 3D Ultrasound Images
    Advances in Pattern Recognition, 1
    Co-Authors: Aaron Fenster, Mingyue Ding, Hanif M. Ladak, Neale Cardinal, Donal B. Downey
    Abstract:

    Although ultrasonography is an important cost-effective imaging modality, technical improvements are needed before its full potential is realized for accurate and quantitative monitoring of disease progression or regression. 2D viewing of 3D anatomy, using conventional ultrasonography limits our ability to quantify and visualize pathology and is partly responsible for the reported variability in diagnosis and monitoring of disease progression. Efforts of investigators have focused on overcoming these deficiencies by developing 3D Ultrasound imaging techniques using existing conventional Ultrasound systems, reconstructing the information into 3D images, and then allowing interactive viewing of the 3D images on inexpensive desktop computers. In addition, the availability of 3D Ultrasound images has allowed the development of automated and semi-automated segmentation techniques to quantify organ and pathology volume for monitoring of disease. In this chapter, we introduce the basic principles of 3D Ultrasound imaging as well as its visualization techniques. Then, we describe the use of 3D Ultrasound in interventional procedures and discuss applications of 3D segmentation techniques of the prostates, needles, and seeds used in prostate brachytherapy.

  • Development and evaluation of a 3D Ultrasound imaging system
    IMTC 98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going (Cat. No.98CH36222), 1
    Co-Authors: Aaron Fenster, N. Cardinal, Shidong Tong, D.b. Downey
    Abstract:

    The use of a 3D Ultrasound imaging to perform a prostate examination will overcome the limitations of conventional 2D transrectal Ultrasound (TRUS) and permit the estimation of prostate and tumor volumes with greater accuracy and and consistency. In this way, the diagnosis and staging of prostate cancer can be made more accurate and less operator dependent. With a 3D Ultrasound imaging system, the patient's prostate can be scanned in only a few seconds and the resulting 3D image can be later manipulated and viewed interactively on a computer, after the patient has departed, and prostate and tumor volumes can be measured with better accuracy and reproducibility. The authors developed a 3D TRUS system to image the prostate.

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