Carnegie Center Resources
Image-Guided Surgery OR
The Carnegie Operating Rooms (ORs) were home to 80 years of surgical innovation at Johns Hopkins Hospital and see that proud legacy forward as OR Laboratories for research in high-precision intervention, patient safety, novel surgical systems, and surgical training. The ORs are home to numerous projects in the I-STAR Lab, including mobile C-arms for high-quality cone-beam CT, surgical tracking systems (including infrared, optical, and electromagnetic trackers), endoscopic video, ultrasound imaging, novel imaging and interventional phantoms, cadaver resources, surgical instrumentation, and the TREK software platform for surgical navigation and visualization.
Surgical Robotics and Navigation
The Carnegie Surgical Navigation Lab includes a large testbed for development, testing, and integration of novel surgical guidance solutions. The lab includes an arsenal of surgical trackers (infrared, optical, and electromagnetic), endoscopic video systems, tracked ultrasound, and a general purpose robot (UR5) integrated with the TREK software system for development of streamlined, application-specific forms suitable for clinical studies. The testbed is used extensively as a platform for development of new navigation solutions, registration methods, and robot-assisted surgery.
Laboratory for High-Resolution Quantitative CT
Among the Carnegie Labs is a system developed by Dr. Wojciech Zbijewski for high-resolution cone-beam CT. A benchtop system featuring novel configurations of fine focal spot x-ray tube, high-resolution (CMOS) detectors, and model-based 3D image reconstruction provides a a platform for development of high-resolution imaging methods that offer to transcend conventional limits to spatial resolution in CT. Applications of major interest include orthopaedic / musculoskeletal imaging (e.g., quantitative assessment of bone morphology in osteoarthritis and osteoporosis) as well as preclinical imaging (imaging of microstructure in bone and vascularization).
Research Computing Work Space
The main work area resides in what was formerly the Carnegie post-operative care room, where 20 patient recovery units give visible reminder of the importance of surgical innovation in improving the quality of surgical care. The area is now home to engineering researchers working to devise new methods and technologies for image guidance, image registration, surgical planning, new 3D imaging methods, and innovative devices to improve the quality, precision, and safety of surgery.
Engineering Design Studio
The Carnegie Design Studio is linked to the Biomedical Engineering Design Studio in Clark Hall by 24/7 video telepresence and provides a meeting and work space for engineering students in collaboration with clinical collaborators. The Design Studio provides an open space for students to meet with clinicians, hold lectures and classes, teleconference with collaborators, learn clinical problems, pitch new ideas, and use as a home base for clinical rotations in the hospital.
Surgical Training Facility
The Carnegie Center is home to a growing program for outside-the-OR surgical training, simulation, and workshops. The facility includes cadaver storage and a growing surgical instrumentarium, with main areas of immediate focus including spine surgery, trauma surgery, and skull base neurosurgery and an emphasis on cutting-edge techniques in minimally invasive and image-guided procedures.
Electronics and 3D Printing Facility
The Carnegie Center includes a facility for high-end 3D printing and basic electronics development and testing.
Printed 3D models are made using a Stratasys Connex3/Objet 260 printer obtained through a grant sponsored by the JH Institute for Clinical and Translational Research (ICTR), a grateful donor, and the Dept. of Neurosurgery. It operates as a core service in collaboration with the Department of Art as Applied to Medicine. Applications for 3D printing range from novel engineering devices to anatomical models for surgical training, planning and patient education. Additional 3D technologies such as reconstruction of DICOM images for 3D printing, animation, scanning can be arranged through the core service.
Requests for 3D printing and other 3D Advanced Technologies are made via email at: Carnegie3DP@jhmi.edu
The Carnegie Center includes a network of high-speed workstations integrated with the I-STAR Laboratory resources for parallel computing on GPU. These high-speed parallel computing resources are used extensively in the development of computationally intense methods for 3D image reconstruction, image registration, and Monte Carlo modeling. The network of distributed and clustered GPUs includes workstations outfitted with multiple GPU cards, such as the Nvidia Titan X.
The Carnegie Machine Shop is operated by the I-STAR Lab in collaboration with machining resources in the Department of Biomedical Engineering. The shop includes a upright mill (Kondia FV-1), drill press (Powermatic PM2800B), bandsaw (Jet J-8210K), and a wide selection of supplies and hand tools.
The CBID Program (directed by Dr. Youseph Yazdi) includes operations within the Center via workbenches, access to the Design Studio, and dedicated laboratory space within the Carnegie OR Labs. Teaching assistants from the CBID Program help with oversight of the Design Studio and contribute to a vibrant culture of translational research and entrepreneurship.
Laboratory for Multi-Scale Imaging
To extract and communicate information from the rich, multidimensional / multimodality / multiscale biomedical images we acquire from preclinical cancer models, it is necessary to harness techniques from information theory, computer graphics, statistics and visualization science. At the Carnegie Center, the Arvind Pathak leads a laboratory that is developing some of the first interactive, image-based atlases of commonly used pre-clinical tumor models. These cloud-based digital atlases are made available to cancer investigators worldwide for research and education. In addition, the lab focuses on new methods to visualize preclinical imaging data and numerical tools for investigating the relationship between image information and the underlying biology.