Real-Time 3D Ultrasound Guided Interventional System for Cardiac Stem Cell Therapy with Motion Compensation

Parthasarathy, V.; Hatt, Charles R.; Stanković, Zoran; Raval, Amish N.; Jain, Ameet

doi:10.1007/978-3-642-23623-5_36

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…This highlights the need for real time tracking of cardiorespiratory motion implemented into the fusion system. A motion compensation algorithm was demonstrated by our group [57] and others [58]. These methods have been designed and validated using offline in-vitro and in-vivo data.…”

Section: Discussionmentioning

confidence: 99%

MRI—3D ultrasound—X-ray image fusion with electromagnetic tracking for transendocardial therapeutic injections: In-vitro validation and in-vivo feasibility

Hatt

Jain

Parthasarathy

et al. 2013

Computerized Medical Imaging and Graphics

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Myocardial infarction (MI) is one of the leading causes of death in the world. Small animal studies have shown that stem-cell therapy offers dramatic functional improvement post-MI. An endomyocardial catheter injection approach to therapeutic agent delivery has been proposed to improve efficacy through increased cell retention. Accurate targeting is critical for reaching areas of greatest therapeutic potential while avoiding a life-threatening myocardial perforation. Multimodal image fusion has been proposed as a way to improve these procedures by augmenting traditional intra-operative imaging modalities with high resolution pre-procedural images. Previous approaches have suffered from a lack of real-time tissue imaging and dependence on X-ray imaging to track devices, leading to increased ionizing radiation dose. In this paper, we present a new image fusion system for catheter-based targeted delivery of therapeutic agents. The system registers real-time 3D echocardiography, magnetic resonance, X-ray, and electromagnetic sensor tracking within a single flexible framework. All system calibrations and registrations were validated and found to have target registration errors less than 5 mm in the worst case. Injection accuracy was validated in a motion enabled cardiac injection phantom, where targeting accuracy ranged from 0.57 to 3.81 mm. Clinical feasibility was demonstrated with in-vivo swine experiments, where injections were successfully made into targeted regions of the heart.

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Section: Discussionmentioning

confidence: 99%

MRI—3D ultrasound—X-ray image fusion with electromagnetic tracking for transendocardial therapeutic injections: In-vitro validation and in-vivo feasibility

Hatt

Jain

Parthasarathy

et al. 2013

Computerized Medical Imaging and Graphics

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“…Huang et al [14] described an image registration based 3D TEE-EM (transesophageal echocardiography) calibration system, and achieved an FRE (fiducial registration error) of 1.23±0.26 mm and an average TRE (target registration error) of 2.37±0.81 mm. Parthasarathy et al [15] fused a pre-procedural MR roadmap with real-time 3D TEE for cardiac stem cell therapy. They validated the system on a moving heart phantom and produced a landmark registration accuracy of 2.8±1.45 mm and an average registration accuracy of 2.2±1.8 mm through EM tracking.…”

Section: Overview Of 3d Ultrasound Calibration Methodsmentioning

confidence: 99%

“…In recent clinical practice, it has been reported that severe CDH could be treated in utero by a minimally invasive surgery (MIS) called fetoscopic tracheal occlusion (FETO) [1], which places a detachable balloon into the fetal trachea to prevent pulmonary hypoplasia by increasing the pressure of the chest cavity. In order to perform an FETO surgery, a fiber endoscope having a diameter of 1.3 mm within a cannula (Karl Storz) having a diameter of 3.3 mm is inserted into the amniotic cavity through the abdominal and uterine walls, towards the fetal Manuscript received January 15,2014. † The authors are with Waseda University, Tokyo, 169-0051 Japan.…”

Section: Background and Purposementioning

confidence: 99%

Locating Fetal Facial Surface, Oral Cavity and Airways by a 3D Ultrasound Calibration Using a Novel Cones' Phantom

Ohya

Sato

et al. 2014

IEICE Trans. Inf. & Syst.

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SUMMARYToward the actualization of an automatic navigation system for fetoscopic tracheal occlusion (FETO) surgery, this paper proposes a 3D ultrasound (US) calibration-based approach that can locate the fetal facial surface, oral cavity, and airways by a registration between a 3D fetal model and 3D US images. The proposed approach consists of an offline process and online process. The offline process first reconstructs the 3D fetal model with the anatomies of the oral cavity and airways. Then, a point-based 3D US calibration system based on real-time 3D US images, an electromagnetic (EM) tracking device, and a novel cones' phantom, computes the matrix that transforms the 3D US image space into the world coordinate system. In the online process, by scanning the mother's body with a 3D US probe, 3D US images containing the fetus are obtained. The fetal facial surface extracted from the 3D US images is registered to the 3D fetal model using an ICP-based (iterative closest point) algorithm and the calibration matrices, so that the fetal facial surface as well as the oral cavity and airways are located. The results indicate that the 3D US calibration system achieves an FRE (fiducial registration error) of 1.49±0.44 mm and a TRE (target registration error) of 1.81±0.56 mm by using 24 fiducial points from two US volumes. A mean TRE of 1.55±0.46 mm is also achieved for measuring location accuracy of the 3D fetal facial surface extracted from 3D US images by 14 target markers, and mean location errors of 2.51±0.47 mm and 3.04±0.59 mm are achieved for indirectly measuring location accuracy of the pharynx and the entrance of the trachea, respectively, which satisfy the requirement of the FETO surgery. key words: 3D location, fetal oral cavity and airways, 3D ultrasound calibration, iterative closest point algorithm, 3D fetal model, 3D electromagnetic tracking device

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“…This gives the spatial position of the US slice. It is then possible to estimate an approximate position of the US slice in the MR volume [19][20][21]. However, EM trackers are not available in most hospitals in Europe, so that in most of the methods, an expert must search for the best MR slice that matches the corresponding US image.…”

Section: Us-mr Image Registrationmentioning

confidence: 99%

Mapping and characterizing endometrial implants by registering 2D transvaginal ultrasound to 3D pelvic magnetic resonance images

Yavariabdi¹,

Bartoli²,

Samir³

et al. 2015

Computerized Medical Imaging and Graphics

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We propose a new deformable slice-to-volume registration method to register a 2D Transvaginal Ultrasound (TVUS) to a 3D Magnetic Resonance (MR) volume. Our main goal is to find a cross-section of the MR volume such that the endometrial implants and their depth of infiltration can be mapped from TVUS to MR. The proposed TVUS-MR registration method uses contour to surface correspondences through a novel variational one-step deformable Iterative Closest Point (ICP) method. Specifically, we find a smooth deformation field while establishing point correspondences automatically. We demonstrate the accuracy of the proposed method by quantitative and qualitative tests on both semi-synthetic and clinical data. To generate semi-synthetic data sets, 3D surfaces are deformed with 4-40% degrees of deformation and then various intersection curves are obtained at 0-20° cutting angles. Results show an average mean square error of 5.7934±0.4615mm, average Hausdorff distance of 2.493±0.14mm, and average Dice similarity coefficient of 0.9750±0.0030.

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Real-Time 3D Ultrasound Guided Interventional System for Cardiac Stem Cell Therapy with Motion Compensation

Cited by 3 publications

References 7 publications

MRI—3D ultrasound—X-ray image fusion with electromagnetic tracking for transendocardial therapeutic injections: In-vitro validation and in-vivo feasibility

MRI—3D ultrasound—X-ray image fusion with electromagnetic tracking for transendocardial therapeutic injections: In-vitro validation and in-vivo feasibility

Locating Fetal Facial Surface, Oral Cavity and Airways by a 3D Ultrasound Calibration Using a Novel Cones' Phantom

Mapping and characterizing endometrial implants by registering 2D transvaginal ultrasound to 3D pelvic magnetic resonance images

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