Search

Traditional surgical approaches for repairing diseased mitral valves (MVs) have relied on placing the patient on cardiopulmonary bypass (on pump), stopping the heart and accessing the arrested heart directly. However, because this approach has the potential for adverse neurological, vascular, and immunological sequelae, less invasive beating heart alternatives are desirable. Emerging beating heart techniques have been developed to offer high-risk patients MV repair using ultrasound guidance alone without stopping the heart. This paper describes the first porcine trials of the NeoChord DS1000 (Minnetonka, MN), employed to attach neochordae to a MV leaflet using the traditional ultrasound-guided protocol augmented by dynamic virtual geometric models. The distance errors of the tracked tool tip from the intended midline trajectory (5.2 ± 2.4 mm versus 16.8 ± 10.9 mm, p = 0.003), navigation times (16.7 ± 8.0 s versus 92.0 ± 84.5 s, p = 0.004), and total path lengths (225.2 ± 120.3 mm versus 1128.9 ± 931.1 mm, p = 0.003) were significantly shorter in the augmented ultrasound compared to navigation with ultrasound alone,1 indicating a substantial improvement in the safety and simplicity of the procedure.

Objective We report our experience with ultrasound augmented reality (US-AR) guidance for mitral valve prosthesis (MVP) implantation in the pig using off-pump, closed, beating intracardiac access through the Guiraudon Universal Cardiac Introducer attached to the left atrial appendage. Methods Before testing US-AR guidance, a feasibility pilot study on nine pigs was performed using US alone. US-AR guidance, tested on a heart phantom, was subsequently used in three pigs (~65 kg) using a tracked transesophageal echocardiography probe, augmented with registration of a 3D computed tomography scan, and virtual representation of the MVP and clip-delivering tool (Clipper); three pigs were used to test feature-based registration. Results Navigation of the MVP was facilitated by the 3D anatomic display. AR displayed the MVP and the Clipper within the Atamai Viewer, with excellent accuracy for tool placement. Positioning the Clipper was hampered by the design of the MVP holder and Clipper. These limitations were well displayed by AR, which provided guidance for improved design of tools. Conclusions US-AR provided informative image guidance. It documented the flaws of the current implantation technology. This information could not be obtained by any other method of evaluation. These evaluations provided guidance for designing an integrated tool: combining an unobtrusive valve holder that allows the MVP to function properly as soon as positioned, and an anchoring system, with clips that can be released one at a time, and retracted if necessary, for optimal results. The portability of Real-time US-AR may prove to be the ideal practical image guidance system for all closed intracardiac interventions.

Facet interventions continue to be used in pain management. Computed tomographic (CT) images can be registered into a virtual world that includes images generated by an ultrasound (US) probe tracked in real time, permitting guidance of tracked needles. We acquired CT-generated 3-dimensional (3D) images of 2 models and a cadaver. Three-dimensional representations of a US probe and needle were generated. A magnetic system tracked the needle and US probe. Using the US, 3D CT images were registered to the model/cadaver. Images were fused on a single interface. Facet injections were performed in the models and cadaver with radio-opaque markers. A postprocedure CT image determined appropriate placement. The virtual reality system described demonstrates technical innovations that may lead to future advancements in the area of percutaneous interventions in the management of pain.

The development of an augmented reality environment that combines laparoscopic video and ultrasound imaging for image-guided minimally invasive abdominal surgical procedures, such as partial nephrectomy and radical prostatectomy, is an ongoing project in our laboratory. Our system overlays magnetically tracked ultrasound images onto endoscopic video to create a more intuitive visualization for mapping lesions intraoperatively and to give the ultrasound image context in 3D space. By presenting data in a common environment, this system will allow surgeons to visualize the multimodality information without having to switch between different images. A stereoscopic laparoscope from Visionsense Limited enhances our current system by providing surgeons with additional visual information through improved depth perception. In this paper, we develop and validate a calibration method that determines the transformation between the images from the stereoscopic laparoscope and the 3D locations of structures represented by a tracked laparoscopic ultrasound probe. We first calibrate the laparoscope with a checkerboard pattern and measure how accurate the transformation from image space to tracking space is. We then perform a target localization task using our fused environment. Our initial experience has demonstrated an RMS registration accuracy in 3D of 2.21mm for the laparoscope and 1.16mm for the ultrasound in a working volume of 0.125m3, indicating that magnetically tracked stereoscopic laparoscope and ultrasound images may be appropriately combined using magnetic tracking as long as steps are taken to ensure that the magnetic field generated by the system is not distorted by surrounding objects close to the working volume.

Many abdominal surgery procedures are now performed minimally invasively. We consider tumour resection, where surgeons use a laparoscopic camera to view the organ surface and a laparoscopic ultrasound(US) probe to visualize the tumour to plan and perform the excision. Conventionally, images are displayed separately and are typically presented in 2D. Therefore, the surgeon has to look back and forth between the images and mentally map the US onto the video to determine the tumour location relative to the surface. Furthermore, the 2D nature of the images decreases depth perception. To address these limitations, we developed an augmented reality visualization that fusesimages in a common 3D environment. Instruments were tracked using sensors spatially identified with a magnetic field generator. Through calibration, their image locations were determined in real time. The accuracy of the camera and UScalibrations was determined both relative to the tracking system and to each other using target localization. We evaluated the efficacy of the fusion with a phantom experiment. A surgeon performed tumour resections on polyvinyl alcohol‐cryogel phantoms under the guidance of the conventional visualization and the fusion system presented in 2D and in 3D. The target localization error was 1.20±0.08mm for the camera, 1.85±0.14mm for the US, and 2.38±0.11mm between the camera and the US. Early results demonstrate a faster resection planning time using fusion compared to the conventional setup while maintaining similar margin accuracy. This study supports the implementation of fusion for guidance of time‐sensitive resection tasks performed under conditions of warm ischemia.