Intra-operative 3D ultrasound augmentation

Aylward, S.R.; Jomier, Julien; Guyon, Jean-Philippe; Weeks, Sue

doi:10.1109/isbi.2002.1029284

Cited by 27 publications

(28 citation statements)

References 2 publications

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“…A series of Monte Carlo simulations was conducted to measure how consistently the registration method was able to align segmented vessels from the liver given random initial misregistrations. The application of this registration algorithm was extended to include CT to ultrasound registration Aylward et al, 2002 and then further extended to take into account nonlinear deformations Jomier and Aylward, 2004. Following global rigid registration, each branch in the vessel tree was linearly registered resulting in a piece-wise rigid transformation.…”

Section: Vessel Based Registrationmentioning

confidence: 99%

Validation of vessel-based registration for correction of brain shift

Reinertsen

Descoteaux

Siddiqi

et al. 2007

Medical Image Analysis

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The displacement and deformation of brain tissue is a major source of error in image-guided neurosurgery systems. We have designed and implemented a method to detect and correct brain shift using pre-operative MR images and intraoperative Doppler ultrasound data and present its validation with both real and simulated data. The algorithm uses segmented vessels from both modalities, and estimates the deformation using a modified version of the iterative closest point (ICP) algorithm. We use the least trimmed squares (LTS) to reduce the number of outliers in the point matching procedure. These points are used to drive a thin-plate spline transform to achieve non-linear registration. Validation was completed in two parts. First, the technique was tested and validated using realistic simulations where the results were compared to the known deformation. The registration technique recovered 75% of the deformation in the region of interest accounting for deformations as large as 20 mm. Second, we performed a PVA-cryogel phantom study where both MR and ultrasound images of the phantom were obtained for three different deformations. The registration results based on MR data were used as a gold standard to evaluate the performance of the ultrasound based registration. On average, deformations of 7.5 mm magnitude were corrected to within 1.6 mm for the ultrasound based registration and 1.07 mm for the MR based registration.

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Section: Vessel Based Registrationmentioning

confidence: 99%

Validation of vessel-based registration for correction of brain shift

Reinertsen

Descoteaux

Siddiqi

et al. 2007

Medical Image Analysis

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“…Since fast and precise automatic algorithms for non-rigid intraoperative registration of 3D ultrasound data are still under development, for neurosurgery Lindseth et al [6] suggested only to rigidly register preoperative data, trust on ultrasound navigation and use the preoperative data as an orientation aid. Applications in abdominal interventions which make use of preoperative image data to augment navigated intraoperative ultrasound scans include: laparoscopy [7,8] for better orientation and thermal ablation of liver lesions [9,10] for precise placement of preplanned applicator positions. Fast and robust intraoperative registration is the crucial task for augmenting the ultrasound data.…”

Section: Introductionmentioning

confidence: 99%

Augmenting Intraoperative 3D Ultrasound with Preoperative Models for Navigation in Liver Surgery

Lange

Eulenstein

Hünerbein

et al. 2004

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

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Abstract.Organ deformation between preoperative image data and the patient in the OR is the main obstacle for using surgical navigation systems in liver surgery. Our approach is to provide accurate navigation via intraoperative 3D ultrasound. These ultrasound data are augmented with preoperative anatomical models and planning data as an important additional orientation aid for the surgeon. We present an overview of the whole ultrasound navigation system as well as an approach for fast intraoperative non-rigid registration of the preoperative models to the ultrasound volume. The registration method is based on the vessel center lines and consists of a combination of the Iterative Closest Point algorithm and multilevel B-Splines. Quantitative results for three different patients are presented.

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“…25 Holes appear as black pixels. Figure 6 shows the slices that are in-plane with filled holes of a spine volume.…”

Section: Resultsmentioning

confidence: 99%

“…A volume of the liver can be used to aid in intraoperative registration to a preoperative needle insertion plan. 25 Images of the kidney can be used to translate a computed tomography-based preoperative surgical plan to an intraoperative environment. 26 Spine volumes have seen increasing use for procedures such as facet joint injection.…”

Section: Image Acquisitionmentioning

confidence: 99%

Hole filling with oriented sticks in ultrasound volume reconstruction

et al. 2015

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Abstract. Volumes reconstructed from tracked planar ultrasound images often contain regions where no information was recorded. Existing interpolation methods introduce image artifacts and tend to be slow in filling large missing regions. Our goal was to develop a computationally efficient method that fills missing regions while adequately preserving image features. We use directional sticks to interpolate between pairs of known opposing voxels in nearby images. We tested our method on 30 volumetric ultrasound scans acquired from human subjects, and compared its performance to that of other published hole-filling methods. Reconstruction accuracy, fidelity, and time were improved compared with other methods.

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Intra-operative 3D ultrasound augmentation

Cited by 27 publications

References 2 publications

Validation of vessel-based registration for correction of brain shift

Validation of vessel-based registration for correction of brain shift

Augmenting Intraoperative 3D Ultrasound with Preoperative Models for Navigation in Liver Surgery

Hole filling with oriented sticks in ultrasound volume reconstruction

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