Journal of image guided surgery最新文献

{"title":"Neurosurgical robot Minerva: First results and current developments","authors":"D. Glauser,&nbsp;H. Fankhauser,&nbsp;M. Epitaux,&nbsp;J.-L. Hefti,&nbsp;A. Jaccottet","doi":"10.1002/(SICI)1522-712X(1995)1:5<266::AID-IGS2>3.0.CO;2-8","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:5<266::AID-IGS2>3.0.CO;2-8","url":null,"abstract":"<p>We describe the development and approach to clinical application of the neurosurgical robot Minerva, including the mechanical structure of the robot and the software developed to perform intracranial neurosurgical operations with accuracy, smoothness, and safety. The first eight operations have been undertaken on patients requiring stereotactic brain biopsy. We describe the ongoing developments, including improved sterilization features, force sensors, nonlinear electrostimulation probe, and implantation of living encapsulated cells, all of which have entered a test phase. The goals are increased safety and capability to perform simple three-dimensional operations. This research should ease the way for new complex operations that are difficult to perform manually today. <i>J Image Guid Surg 1:266–272 (1995)</i> © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 5","pages":"266-272"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20033096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-stage stereotactic diagnosis and radiosurgery: Feasibility and cost implications","authors":"Peter C. Gerszten M.D.,&nbsp;L. Dade Lunsford M.D., F.A.C.S.,&nbsp;Michael J. Rutigliano M.D., M.B.A,&nbsp;Douglas Kondziolka M.D., F.R.C.S.,&nbsp;John C. Flickinger M.D.,&nbsp;A. Julio Martínez M.D.","doi":"10.1002/(SICI)1522-712X(1995)1:3<141::AID-IGS3>3.0.CO;2-A","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:3<141::AID-IGS3>3.0.CO;2-A","url":null,"abstract":"<p>We compared the efficacy and the hospital charges of either single-stage or two-stage stereotactic diagnosis and radiosurgery procedures. Twelve patients underwent either one-stage or two-stage diagnosis and management of their brain tumors. Both techniques utilize high-resolution intraoperative stereotactic image-guided technology and rapid touch preparation (imprint) cytopathological techniques to confirm the presence of neoplasm. Following this pathologic diagnosis, six patients immediately underwent stereotactic radiosurgery employing the same frame application and dose planning based on preoperative and intraoperative images. Six patients underwent two-stage procedures, i.e., discharge from the hospital after histopathological diagnosis followed by readmission, reapplication of the stereotactic head frame, and repeat neuroradiological imaging prior to radiosurgery.</p><p>Requirements for success of the single-stage procedure include intraoperative stereotactic high-resolution imaging, a hospital-wide ethernet system for transferring neurodiagnostic images, and expertise in rapid touch-preparation histopathological technique for accurate diagnosis. Intraoperative computed tomography imaging after biopsy confirmed the target accuracy and lack of movement of the target after brain biopsy. The advantages of the single-stage approach include reduced length of overall hospital stay, simultaneous histopathological diagnosis and therapy in a single hospital admission, and reduced total hospital charges. For patients highly suspected of having brain tumors and for whom stereotactic radiosurgery will be utilized in the treatment, single-stage stereotactic diagnosis immediately followed by radiosurgery is an accurate, effective, and potentially less costly management strategy than a two-stage approach. <i>J Image Guid Surg 1:141–150 (1995).</i> © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 3","pages":"141-150"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20032931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of functional magnetic resonance imaging with positron emission tomography and magnetoencephalography to identify the motor cortex in a patient with an arteriovenous malformation","authors":"Stephen B. Baumann Ph.D.,&nbsp;Douglas C. Noll Ph.D.,&nbsp;Douglas S. Kondziolka M.D., F.R.C.S.(C.),&nbsp;Walter Schneider Ph.D.,&nbsp;Tom E. Nichols B.S.,&nbsp;Mark A. Mintun M.D.,&nbsp;Jeffery D. Lewine Ph.D.,&nbsp;Howard Yonas M.D.,&nbsp;William W. Orrison Jr. M.D.,&nbsp;Robert J. Sclabassi M.D., Ph.D.","doi":"10.1002/(SICI)1522-712X(1995)1:4<191::AID-IGS1>3.0.CO;2-5","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:4<191::AID-IGS1>3.0.CO;2-5","url":null,"abstract":"<p>Alterations in gyral contour made it difficult to identify the motor cortex thought to be near an arteriovenous malformation (AVM) in a 24-year-old man considered for stereotactic radiosurgery. Functional imaging in three modalities was performed preoperatively to compare the reliability of localization using functional magnetic resonance imaging (fMRI) on a conventional scanner with positron emission tomography (PET) and magnetoencephalography (MEG). Similar tasks were used for each imaging modality in an attempt to activate and identify the sensory and motor cortex. Data from all three modalities converged for the sensory task, and fMRI and PET data converged for the motor task. The right hemisphere motor strip was localized adjacent and anterior to the AVM. These data were used in planning the radiosurgery isodose configuration to the AVM in order to reduce the irradiation of motor cortex parenchyma. A postoperative fMRI study was also performed using newer techniques to reduce head motion artifact and to improve signal-to-noise ratio. The data confirmed the conclusions derived from the preoperative evaluations. This study demonstrates how conventional MRI scanners can be used for functional studies of use in surgical planning. <i>J Image Guid Surg 1:191–197 (1995).</i> © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 4","pages":"191-197"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20032937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Virtual reality in surgical arthroscopic training","authors":"Wolfgang K. Müller Dipl. Inform.,&nbsp;Rolf Ziegler Dipl. Inform.,&nbsp;Andre Bauer M.D.,&nbsp;Edgar H. Soldner M.D.","doi":"10.1002/(SICI)1522-712X(1995)1:5<288::AID-IGS5>3.0.CO;2-6","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:5<288::AID-IGS5>3.0.CO;2-6","url":null,"abstract":"<p>Arthroscopy has become an irreplaceable method in diagnostics. The arthroscope, with optics and light source, and the exploratory probe are inserted into the knee joint through two small incisions underneath the patella. Currently, the skills required for arthroscopy are taught through hands-on clinical experience. Therefore, the Fraunhofer-Institut fuer Graphische Datenverarbeitung in Darmstadt, in cooperation with the Berufsgenossenschaftliche Unfallklinik Frankfurt am Main, developed a highly interactive medical training system for arthroscopy through computer graphics and virtual reality (VR) techniques. Two main issues are addressed: the three-dimensional (3-D) reconstruction process and the 3-D interaction. The goal of the reconstruction process is to obtain a realistic representation of the knee joint derived from a magnetic resonance image sequence suitable for computer simulation. Moreover, the 3-D interaction of the training system must simulate real arthroscopy, providing an intuitive handling of the instruments. <i>J Image Guid Surg 1:288–294 (1995)</i> © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 5","pages":"288-294"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20033597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of magnetic neorosurgery research","authors":"Matthew A. Howard III M.D.,&nbsp;Ralph G. Dacey M.D.,&nbsp;Martin M. Henegar M.D.,&nbsp;M. Sean Grady M.D.,&nbsp;Rogers C. Ritter Ph.D.,&nbsp;George T. Gillies Ph.D.","doi":"10.1002/(SICI)1522-712X(1995)1:6<295::AID-IGS1>3.0.CO;2-5","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:6<295::AID-IGS1>3.0.CO;2-5","url":null,"abstract":"<p>Image guided surgical techniques are often used to provide useful localizing information during the course of otherwise “standard” surgical procedures. In this review, a magnetic surgery system (MSS) is described that couples image guidance methods with a novel magnetic treatment delivery system. The MSS was designed with the unique capacity to manipulate an implant remotely, to follow complex curvilinear paths, and to implement serial movements over time without reoperation. Magnetically tipped intracerebral implants are placed on the brain surface and then directed along a target trajectory by means of externally generated magnetic gradients. The location of the implant is calculated by comparing preoperative magnetic resonance imaging (MRI) imaging data with intraoperative biplanar fluoroscopic images. A command computer presents the surgeon with relevant MRI-derived images and implements movement commands by sending currents of various strength to the six superconducting magnets suspended about the subject's head. The results of multidisciplinary preclinical research and development work are reviewed. <i>J Image Guid Surg 1:295–299 (1995)</i>. © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 6","pages":"295-299"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20033598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated instrument tracking in robotically assisted laparoscopic surgery","authors":"Darrin R. Uecker,&nbsp;Cheolwhan Lee,&nbsp;Y.F. Wang,&nbsp;Yulun Wang","doi":"10.1002/(SICI)1522-712X(1995)1:6<308::AID-IGS3>3.0.CO;2-E","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:6<308::AID-IGS3>3.0.CO;2-E","url":null,"abstract":"<p>This paper describes a practical and reliable image analysis and tracking algorithm to achieve automated instrument localization and scope maneuvering in robotically assisted laparoscopic surgery. Laparoscopy is a minimally invasive surgical procedure that utilizes multiple small incisions on the patient's body through which the surgeon inserts tools and a videoscope in order to conduct an operation. The scope relays images of internal organs to a camera, and the images are displayed on a video screen. The surgeon performs the operation by viewing the scope images rather than performing the traditional “open” procedure, where a large incision is made on the patient's body for direct viewing.</p><p>The current mode of laparoscopy employs an assistant to hold the scope and position it in response to the surgeon's verbal commands. However, this results in suboptimal visual feedback, because the scope is often aimed incorrectly and vibrates due to hand trembling. We have developed a robotic laparoscope positioner to replace the assistant. The surgeon commands the robotic positioner through a hand/foot controller interface. To further simplify the human-machine interface that controls the robotic scope positioner, we report here a novel scope-positioning scheme using automated image analysis and robotic visual servoing. The scheme enables the surgeon to control visual feedback and to perform surgery more efficiently without requiring additional use of the hands. <i>J Image Guid Surg 1:308–325 (1995)</i>. © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 6","pages":"308-325"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20033600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions","authors":"Simon Warfield,&nbsp;Joachim Dengler,&nbsp;Joachim Zaers,&nbsp;Charles R.G. Guttmann,&nbsp;William M. Wells III,&nbsp;Gil J. Ettinger,&nbsp;John Hiller,&nbsp;Ron Kikinis","doi":"10.1002/(SICI)1522-712X(1995)1:6<326::AID-IGS4>3.0.CO;2-C","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:6<326::AID-IGS4>3.0.CO;2-C","url":null,"abstract":"<p>The segmentation of MRI scans of patients with white matter lesions (WML) is difficult because the MRI characteristics of WML are similar to those of gray matter. Intensity-based statistical classification techniques misclassify some WML as gray matter and some gray matter as WML.</p><p>We developed a fast elastic matching algorithm that warps a reference data set containing information about the location of the gray matter into the approximate shape of the patient's brain. The region of white matter was segmented after segmenting the cortex and deep gray matter structures. The cortex was identified by using a three-dimensional, region-growing algorithm that was constrained by anatomical, intensity gradient, and tissue class parameters. White matter and WML were then segmented without interference from gray matter by using a two-class minimum-distance classifier.</p><p>Analysis of double-echo spin-echo MRI scans of 16 patients with clinically determined multiple sclerosis (MS) was carried out. The segmentation of the cortex and deep gray matter structures provided anatomical context. This was found to improve the segmentation of MS lesions by allowing correct classification of the white matter region despite the overlapping tissue class distributions of gray matter and MS lesion. <i>J Image Guid Surg 1:326–338 (1995)</i>. © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 6","pages":"326-338"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20033601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}