Journal of image guided surgery最新文献

{"title":"Combined stereotactic thalamotomy and posteroventral pallidotomy for Parkinson's disease","authors":"Robert P. Iacono M.D., F.A.C.S.,&nbsp;Jaimie M. Henderson M.D.,,&nbsp;Russell R. Lonser MD","doi":"10.1002/(SICI)1522-712X(1995)1:3<133::AID-IGS2>3.0.CO;2-B","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:3<133::AID-IGS2>3.0.CO;2-B","url":null,"abstract":"<p>Stereotactic thalamotomy has traditionally provided good relief of tremor for patients with intractable tremor-dominant Parkinson's disease. However, bradykinesia, dyskinesia, and rigidity are often less reliably treated with this technique. Although posteroventral pallidotomy (PVP) can alleviate dyskinesias, appendicular bradykinesia, and rigidity, tremor may not be completely ameliorated. We have combined Vim/VOp junction thalamotomy and PVP in 29 patients with severe tremor, rigidity, and bradykinesia.</p><p>Patients underwent unilateral Vim thalamotomy followed at the same sitting by PVP. The distinct physiological consequences of each procedure were documented by intraoperative electromyography (EMG) and video recording, revealing the effects on both tremor and agonist/antagonist co-contraction. Lack of reciprocal inhibition of antagonistic muscle groups often remained following thalamotomy but was eliminated by subsequent PVP.</p><p>The complementary therapeutic effects of PVP and Vim thalamotomy may be due to the interruption of different neuronal circuits by the two procedures. The effect of Vim thalamotomy has been attributed to the interruption of the rubrothalamocortical loop. PVP interrupts the outflow of the globus pallidus interna (GPi), which may cause disinhibition of locomotor centers in the mesencephalon and spinal cord. There is no direct interruption of the rubrothalamocortical loop by PVP, explaining why this procedure sometimes exacerbates tremor in certain patients. The combination of the two procedures appears to provide excellent relief of the majority of symptoms in patients suffering from tremor-dominant Parkinson's disease. <i>J Image Guid Surg 1:133–140 (1995).</i> © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 3","pages":"133-140"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20033019","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":"A technique utilizing positron emission tomography and magnetic resonance/computed tomography image fusion to aid in surgical navigation and tumor volume determination","authors":"Gary E. Kraus,&nbsp;Theodore W. Bernstein,&nbsp;Martin Satter,&nbsp;Bilal Ezzeddine,&nbsp;Dah-Ren Hwang,&nbsp;Joseph Mantil","doi":"10.1002/(SICI)1522-712X(1995)1:6<300::AID-IGS2>3.0.CO;2-E","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:6<300::AID-IGS2>3.0.CO;2-E","url":null,"abstract":"<p>Brain tumors are histologically heterogeneous. A technique for three-dimensional fusing of computed tomography (CT) or magnetic resonance images (MRI) with positron emission tomography (PET) images is described. This allows the anatomic detail provided by CT or MRI scans to be combined with the information about metabolic activity provided by PET scans. The fused images allowed selection of the most metabolically active portions of tumors. Fusion of CT and MRI images with PET scans has allowed first-pass diagnostic-yield by providing the surgeon with a map of anatomical as well as functional (metabolic) detail. We describe a technique to allow routine fusion of MRI, CT, and PET information to help guide the neurosurgeon. <i>J Image Guid Surg 1:300-307 (1995)</i>. © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 6","pages":"300-307"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20033599","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":"Execution of robot-assisted biopsies within the clinical context","authors":"Alberto Rovetta,&nbsp;Remo Sala","doi":"10.1002/(SICI)1522-712X(1995)1:5<280::AID-IGS4>3.0.CO;2-6","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:5<280::AID-IGS4>3.0.CO;2-6","url":null,"abstract":"<p>This paper describes the first prostatic biopsy on a human patient using a robotic and telerobotic system. This system was designed at the Politecnico di Milano, and the biopsy was performed on April 7, 1995, in the Hospital Policlinico in Milan, Italy. <i>J Image Guid Surg 1:280–287 (1995).</i> © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 5","pages":"280-287"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20033596","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 relative accuracy between a mechanical and an optical position tracker for image-guided neurosurgery","authors":"Robert Rohling,&nbsp;Patrice Munger,&nbsp;John M. Hollerbach,&nbsp;Terry Peters","doi":"10.1002/(SICI)1522-712X(1995)1:1<30::AID-IGS5>3.0.CO;2-N","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:1<30::AID-IGS5>3.0.CO;2-N","url":null,"abstract":"<p>An essential component in the execution of image-guided surgery is a hand-held probe whose spatial position is tracked during the procedure and displayed on a three-dimensional operative workstation. This paper describes an experiment performed in order to compare the accuracy of a mechanically linked pointing device (FARO surgical arm) and an optical position tracker (OPTOTRAK) against a “gold standard.” <i>J Image Guid Surg 1:30-34 (1995).</i> © 1995 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 1","pages":"30-34"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20032527","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":"Intracranial meningioma resection using frameless stereotaxy","authors":"Gene H. Barnett M.D.,&nbsp;Charles P. Steiner B.S.,&nbsp;Joseph Weisenberger R.T.(C.V.)","doi":"10.1002/(SICI)1522-712X(1995)1:1<46::AID-IGS7>3.0.CO;2-M","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:1<46::AID-IGS7>3.0.CO;2-M","url":null,"abstract":"<p>Thirty-four consecutive patients with intracranial meningiomas underwent 35 resections aided by an interactive surgical navigation system (ISN; “frameless stereotaxy”). System capabilities include real-time display of wand location, orientation, and relationship to nearby structures using multiplanar and three-dimensional presentation of magnetic resonance imaging (MRI) and/or computed tomography (CT) data obtained perioperatively. There were 16 patients with convexity tumors, five patients with sphenoid wing tumors, five patients with falx or parasagittal tumors, and eight patients with skull base tumors (two each: petroclival, cavernous sinus, olfactory groove, and planum sphenoidale).</p><p>The ISN system was used to locate a minimal craniotomy (i.e., trephine) in 11 (32%) patients, to optimize bone flap design in 13 (38%) patients, to identify the location of parasagittal draining veins in five (15%) patients, and to locate the carotid or basilar arteries in 11 (32%) patients. The techniques provided limited benefit in cranial nerve preservation. No patient had permanent central neurologic morbidity. Where intended preoperatively, tumor resection was complete (i.e., &gt;98%) in all patients as determined via postoperative MRI. Interactive surgical navigation is a useful adjunct in the operative management of some patients with intracranial meningiomas. <i>J Image Guid Surg. 1:46-52 (1995).</i> © 1995 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 1","pages":"46-52"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20032531","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, telesurgery, and the new world order of medicine","authors":"Richard M. Satava M.D., F.A.C.S.","doi":"10.1002/(SICI)1522-712X(1995)1:1<12::AID-IGS3>3.0.CO;2-P","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:1<12::AID-IGS3>3.0.CO;2-P","url":null,"abstract":"<p>We are seeing the emergence of medical applications for virtual reality (VR). These include telepresence surgery, three-dimensional (3-D) visualization of anatomy for medical education, VR surgical simulators, and virtual prototyping of surgical equipment and operating rooms. Today, approximately 90% of the knowledge a physician requires can be obtained through electronic means, such as diagnostic sensors and imaging modalities, directly seeing the patient with a video camera for medical consultation, or using electronic medical records. In addition, with telepresence, a therapy can be effected electronically, regardless of the physical location of the patient. Therefore, it makes sense to send the electronic information or manipulation, rather than sending the patient or blood samples, to obtain tests or to produce a cure. In that these applications are mediated through the computer interface, they are the embodiment of VR as the major force for change in the field of medicine.</p><p>The Green Telepresence Surgery System consists of two components, the surgical workstation and the remote worksite. At the remote site are a 3-D camera system and responsive manipulators with sensory input. At the workstation are a 3-D monitor and dexterous handles with force feedback. The next generation in medical education can learn anatomy from a new perspective by “flying” inside and around the organs, using sophisticated computer systems and 3-D visualization. The VR surgical simulator is a stylized recreation of the human abdomen with several essential organs. Using this, students and surgeons can practice surgical procedures with virtual scalpels and clamps. To support these advanced technologies, the operating room and hospital of the future will first be designed and tested in virtual reality, allowing multiple iterations of equipment and surgical rooms before they are actually built. Insofar as all these technologies are based on digital information, they are the building blocks for the digital physician of the 21st century. <i>J Image Guid Surg 1:12-16 (1995).</i> © 1995 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 1","pages":"12-16"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20032651","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":"Registration in neurosurgery and neuroradiotherapy applications","authors":"E. Cuchet,&nbsp;J. Knoplioch,&nbsp;D. Dormont M.D.,&nbsp;C. Marsault M.D.","doi":"10.1002/(SICI)1522-712X(1995)1:4<198::AID-IGS2>3.0.CO;2-5","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:4<198::AID-IGS2>3.0.CO;2-5","url":null,"abstract":"<p>Because of the high level of accuracy needed in neurosurgery, many computer-assisted surgery (CAS) and augmented reality techniques have been developed in this field. A common issue with all of these techniques is registration between preoperative three-dimensional images (computed tomography and magnetic resonance imaging) and the patient in the operating room. We present, in the first part of this paper, a survey of the latest CAS technologies, using fully automatic registration without fiducial landmarks. All of the registration algorithms described are based on minimization of a cost function. We then describe our approach. Our cost function is simply the mean square error (MSE), minimized by the iterative closest point algorithm (ICP). Because the weak point of the ICP algorithm is the closest point computational cost, we precalculate it by a “closest point map,” inspired from classical distance map. We finally perturb the found solution to eliminate local minima close to the global minimum. This paper summarizes the various methods presented. We study the shape of the different cost functions and show that there is no need for a complex cost function. MSE has sufficiently good convergence properties to reach a position very close to the global minimum. We also demonstrate the influence of a final perturbation of the found solution to improve registration. Finally, we test the registration on different regions of the patient's head. <i>J Image Guid Surg 1:198–207 (1995).</i> © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 4","pages":"198-207"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20032938","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":"Proposed simulation of volumetric image navigation using a surgical microscope","authors":"Ramin Shahidi Ph.D.,&nbsp;Reuben Mezrich M.D., Ph.D.,&nbsp;Deborah Silver Ph.D.","doi":"10.1002/(SICI)1522-712X(1995)1:5<249::AID-IGS1>3.0.CO;2-A","DOIUrl":"10.1002/(SICI)1522-712X(1995)1:5<249::AID-IGS1>3.0.CO;2-A","url":null,"abstract":"<p>This paper describes a simulated surgical setup based on modern, frameless stereotactic techniques that enable surgeons to visualize the field of view of the surgical microscope, overlaid with the segmented volumetric medical images, of a localized area of the patient's head. Using this “true three-dimensional” navigation system, the surgeon visualizes the surgical site while exploring the inner layers of the patient's anatomy via the surgical microscope. It also allows the surgeon to “fly through,” and around, the site of the surgery to visualize several alternatives and qualitatively choose what he or she believes is the best surgical approach. Moving surgical devices are tracked with stereo vision cameras, allowing determination of their spatial relationship to the target lesion. <i>J Image Guid Surg 1:249–265 (1995).</i> © 1996 Wiley-Liss, Inc.</p>","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 5","pages":"249-265"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20033095","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":"Laboratory Investigation:Automated Instrument Tracking in Robotically Assisted Laparoscopic Surgery","authors":"D. Uecker, Yulun Wang, Cheolwhan Lee, Yulun Wang","doi":"10.3109/10929089509106338","DOIUrl":"https://doi.org/10.3109/10929089509106338","url":null,"abstract":"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.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...","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 1","pages":"308-325"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3109/10929089509106338","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69617546","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":"Laboratory Investigation:Automatic Identification of Gray Matter Structures from MRI to Improve the Segmentation of White Matter Lesions","authors":"S. Warfield, J. Dengler, J. Zaers, C. Guttmann, W. Wells, G. Ettinger, J. Hiller, R. Kikinis","doi":"10.3109/10929089509106339","DOIUrl":"https://doi.org/10.3109/10929089509106339","url":null,"abstract":"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.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.Analysis of double-echo spin-echo MRI scans of 16 patients with clinically determined multiple sclerosis (MS) was carried out. The segmentation of the c...","PeriodicalId":79505,"journal":{"name":"Journal of image guided surgery","volume":"1 1","pages":"326-338"},"PeriodicalIF":0.0,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3109/10929089509106339","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69617601","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}