Date:31 December 2009
Whether it’s a fracture, an arrhythmia or a tumour, the problem is, how do you treat it if you can’t see it? Now, thanks to new techniques from Siemens that fuse information from different diagnostic modalities, many medical conditions are becoming transparent.
Although medical imaging devices such as ultrasound scanners and computer and magnetic resonance tomographs have become inncreasingly effective in recent years, one hurdle remains to be overcome: technologies are needed that can fuse the data provided by these systems so that doctors and patients can make better sense of huge quantities of information.
Dr Jürgen Simon, head of the Innovation and Co-operation unit at Siemens Healthcares Strategy department, believes that the development of image fusion (IF) and augmented reality (AR) techniques offers a promising opportunity to achieve this objective. With AR, different data sources are merged into a single image, thereby combining the strengths of each system, he says. We can thus provide doctors and device operators with more information to support their work. Simon describes IF and AR as a hugely interesting topic that opens new possibilities in fields such as trauma surgery and the early diagnosis and treatment of cancer and heart disease.
A case in point is a groundbreaking group of orthopaedic and trauma-related procedures taking place at the Ludwig Maximilian University Surgical Clinic in Munich, Germany. There, using technology patented by Siemens Corporate Research (SCR) in Princeton, New Jersey, a modified Siemens C-arm X-ray system, suitable for use in operating rooms, has been outfi tted with a camera-mirror module that produces an optical image of precisely the same area being imaged by X-rays.
In practical terms, what this means is that the surgeon takes one X-ray of the area in question, after which the optical image is superimposed on the X-ray image. The result is that the surgeon not only sees the area of interest on a nearby monitor exactly as it appears to the eye, but also sees the underlying anatomy in perfect registration.
When a scalpel is placed on the skin in preparation for the initial incision, the underlying bones and fracture lines are clearly visible, making it perfectly clear where the incision should be made," says Professor Nassir Navab, one of the inventors of the system and chair of Computer- Aided Medical Procedures and Augmented Reality at the Technical University of Munich. "Without this innovative technology, many patients would have to be X.rayed several times before an operation could begin," Navab adds.
The system provides additional support during an operation . for example, by helping surgeons locate the optimum position for a drill in relation to the anatomical structure below. This is important, for instance, when placing screws at the right angle, as it prevents the exposure of patients or medical personnel to unnecessary additional radiation.
Augmented reality is also providing hope for more precise surgical treatment of breast tumours. At Beth Israel Deaconess Medical Centre in Boston, Massachusetts, for example, Dr John Frangioni has developed a new optical examination procedure known as FLARE (Fluorescence-Assisted Resection and Exploration), which employs unique medical image fusion and visualisation software developed by Siemens. In combination with a near-infrared fluorescence dye, which was recently successfully tested in a clinical study and is now being further optimised, the system is able to make visible sentinel lymph nodes that may be afflicted with cancer cells.
The core elements of FLARE developed by the Frangioni Lab are two near-infrared (NIR) light sources and cameras that detect fluorescent substances in the body. With two separate NIR fluorescent channels, one could show tissues to be resected (such as tumours) while the other might show tissues to be avoided (such as nerves or blood vessels), thereby helping to avoid damage. These NIR images are merged in false colour with images acquired by a colour video camera, enabling visualisation of the NIR fluorescent dye in an anatomical context.
Meanwhile, at the National Institutes of Health (NIH) in Bethesda, Maryland, researchers . with support from colleagues at SCR . have developed an image-fusion procedure designed to locate life-threatening arrhythmias. Based on the use of X.ray images and magnetic resonance (MR) scans, the system has been used extensively at NIH to superimpose views of the heartfs soft tissue structures derived from MRI on to live X.ray images. For example, using MR images to depict an arrhythmia-causing scar in the left ventricle, a catheter can be steered to the regions adjacent to the scar most likely to benefit from treatment.
Working along similar lines, this time in collaboration with Johns Hopkins University, NIH researchers used an image fusion system in an animal study to provide precise real-time images of the path instruments should take through the jugular vein during minimally invasive procedures targeting the portal vein, which transports blood from the abdominal cavity to the liver. The researchers used a conventional Espree MRI scanner from Siemens to produce high resolution 3D images of vessels in order to create a road map of the portal venous system.
They then combined these images with X-ray images from an Axiom Artis scanner. To ensure that the image data sets from both devices would fuse precisely to form a single picture, the two systems were calibrated via markers on a pigs abdomen that were visible on both MR and X-ray images. Physicians used the MR images to segment the portal vein and surrounding structures and superimpose them on the X-ray images during navigation of a catheter in the portal vein. Initial results showed that the superimposed MR images allowed faster and more precise entry into the portal vein.
The researchers still have more than enough challenges to overcome before their X-ray-MR fusion technique can be utilised in clinical applications. Says SCRs Christine Lorenz: The technique functions well when the organs being examined dont move too much. However, what we really need to make this kind of procedure successful in the abdomen or heart is to develop techniques to compensate for cardiac and respiratory motion were working on it.
Ultrasound and CT
Another widely used diagnostic method is the ultrasound-echo technique, which provides immediate results with little effort. Its resolution is low, however, and a great deal of experience is required to properly interpret its 2D images. Researchers Ali Kamen and Wolfgang Wein from SCR want to overcome these drawbacks by combining it with CT imaging.
Ultrasound delivers a lot of data, but no 3D information, says Kamen. We can get that with CT images. He describes how the two modalities can work together: a patient with a liver tumour, for example, would first be scanned using CT. A doctor can use the resulting image to determine how large the tumour is and how much blood is flowing through it, which is an indicator of how dangerous it is. If such information is not sufficient for a diagnosis, the doctor can inject an ultrasound contrast agent containing micro-bubbles into the blood vessels. These tiny bubbles reflect sound waves and clearly show how much blood the tumour is being supplied with, thereby simplifying the diagnosis. The stronger the blood fl ow in th
e tumour, the more active and threatening it is, Kamen explains.
The goal is to allow doctors to merge both applications to produce a single image. is will not only help with diagnoses, but also with treatments such as tumour removal. Our research project is designed to ensure that equipment operators receive all information at a glance regarding where a tumour is, and from which direction it can be resected without damaging important blood vessels, says Kamen. Were now testing the system at the Mayo Clinic in Rochester, Minnesota.
Mapping the heart
Meanwhile, a team at SCR headed by Dr Frank Sauer is making progress in the treatment of cardiac arrhythmias with the help of AR technology. We now have realistic 3D depictions of the heart, which enable us to view catheter movements in real time during intra-operative treatment much better than ever before, says Sauer. is development was made possible by an integrated system that combines CT or MR images and electro-physiological heart mapping and visualisation (socalled CARTO mapping).
The 3D heart images produced with the tomography system are exact and precisely contoured. After these images have been obtained, a doctor navigates an electrophysiological mapping catheter into the heart chamber. Three alternating magnetic fields underneath the operating table are used to pinpoint the position of the catheter sensor tips. These sensors record the spatial anatomy, and their electrical signals create an electro-anatomical map of the heart. The electrophysiological images are then merged with the CT or MR images with the help of software.
The catheter operator in the electrophysiology lab sees the heart chamber on a monitor in real time, and can thus use the 3D image to manoeuvre the catheter safely and quickly. SCR and Siemens Healthcare are working closely on this technology with Biosense Webster Inc (BWI), a subsidiary of Johnson & Johnson. The navigation software has already been marketed by BWI under the name Cartomerge.
Siemens Healthcare in Erlangen, Germany, is also developing AR systems. Recently, for instance, it presented a navigation system targeted at minimally invasive spine operations and trauma surgery. With Cappa C-Nav, doctors put together a 3D X-ray data set of the area to be operated on, allowing them to optimise the planning of implants, for example.
During the operation, the doctor navigates using an infrared stereo camera that sees the systems small reflecting marker spheres, which are on the surgical instruments. Software processes these signals, allowing the doctor to continually view the position of the instruments in the patients 3D image. If necessary, the doctor can, for example, virtually check whether the implant screws are ideally positioned and the right size before inserting them.
How quickly such AR systems make their way into hospitals depends on how well image fusion systems can be integrated into the clinical workflow, says Navab. The key is to deliver the images in real time. Navab, who worked at SCR in Princeton until a few years ago, is convinced that augmented reality will become widespread in medical technology over the next ten years. However, he emphasises that this must occur in close co-operation with doctors and hospitals otherwise they wont accept the new technology.
Augmented reality in medical systems
Conventional medical imaging systems are used by doctors to examine parts of the body before most operations. During treatment, doctors can view on a monitor images acquired by computer tomography devices, magnetic resonance tomography systems or other imaging procedures. ese days, such systems are also used to precisely measure and visualise the position of surgical instruments whose locations within the body can be viewed on a monitor.
Such a situation is not always ideal, however – especially when difficult and complex treatments are required. That’s because images recorded before an operation do not always fully correspond to the actual situation at the time of the procedure. Moreover, such computer-generated images are spatially disconnected from the surgeon’s view – when the doctor looks at the monitor, he or she can’t see the patient, and looking at the patient means losing the view of the monitor.
Augmented reality combines these two levels into a single image- often in 3D – that doctors can view through a stereo-optical device or a semi-transparent mirror, for example. The key is that the virtual image be properly aligned with the patient’s anatomy; otherwise the doctor might misplace the surgical instruments within the body. Virtual images must thus be produced in real time during an operation.
Physicians and medical device developers expect to reap many benefi ts from AR systems, since doctors will be able to focus more closely on surgery and not have to divide their attention between the patient and a monitor. AR also simplifi es hand-eye co-ordination because doctors view real and virtual instruments from the same angle. Orientation within the patient’s body is supported by 3D AR images, thereby enabling doctors to work with much greater precision and more easily avoid errors.