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机械毕业设计 论文

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LW01-035@南京理工大学无框架立体定位神经外科手术机器人运动学分析与人机工程、质量管理,机械毕业设计 论文

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南 京 理 工 大 学 学生毕业设计（论文）中期检查表 学生姓名 周远名 学 号 0101400136 指导教师 施祖康 选题情况 课题名称 无框架立体定向神经外科手术机器人 运动学分析及人机工程、质量管理 难易程度 偏难 适中 偏易 工作量 较大 合理 较小 符合规范化的要求 任务书 有 无 开题报告 有 无 外文翻译质量 优 良 中 差 学习态度、出勤情况 好 一般 差 工作进度 快 按计划进行 慢 中期工作汇报及解答问题情况 优 良 中 差 中期成绩评定： 优 所在专业 意见： 负责人： 年 月 日 nts 南 京 理 工 大 学 毕业设计（论文）任务书 学 院（系）： 机械工程学院 专 业 ： 工业工程 学 生 姓 名： 周远名 学 号： 0101400136 设计 (论文 )题目 ： 无框架立体定向 神经外科 手术机器人 运动学分析及人机工程、质量管 理 起 迄 日 期 : 2005 年 3月 6日 2005年 6月 10 日 设计 (论文 )地点 : 南京 国康机器人公司 指 导 教 师 : 施祖康 专业 负责 人 : 汪慧芬 发任务书日期 : 2005 年 3 月 10 日 nts 任 务书填写要求 1毕业设计（论文）任务书由指导教师根据各课题的具体情况填写，经 学生所在专业 的负责人 审查、学院（系）领导签字后生效。此任务书应在毕业设计（论文）开始前一周内填好并发给学生； 2 任务书内容必须用黑墨水笔工整书写或按教务处统一设计的电子文档标准格式（可从教务处网页上下载）打印，不得随便涂改或潦草书写，禁止打印在其它纸上后剪贴； 3 任务书内填写的内容，必须和学生毕业设计（论文）完成的情况相一致，若有变更，应当经过所在专业及学院（系）主管领导审批后方可重新填写； 4 任务书内有关“学院（系）” 、“专业”等名称的填写，应写中文全称，不能写数字代码。学生的“学号”要写全号（ 2000 级为 10位数），不能只写最后 2 位或 1 位数字； 5 任务书内“主要参考文献”的填写，应按照国标 GB 7714 87文后参考文献著录规则的要求书写，不能有随意性； 6 有关年月日等日期的填写，应当按照国标 GB/T 7408 94数据元和交换格式、信息交换、日期和时间表示法规定的要求，一律用阿拉伯数字书写。如“ 2004 年 3 月 15 日”或“ 2004-03-15”。 nts 毕 业 设 计（论 文）任 务 书 1本毕业设计 （论文）课题应达到的目的： 通过对“ 无框架立体定向神经外科手术机器人”的 设计，训练学生综合应用已学的基础知识和专业知识，在老师的指导下，按照工程的要求，解决工程实际问题的方法与能力，开阔学生的视野，激发学生的学习兴趣，培养学生的团队精神，提高学生适应能力，以满足未来社会的需求。 2本毕业设计（论文）课题任务的内容和要求（包括原始数据、技术要求、工作要求等）： 本设计要求学生根据 医疗外科机器人的功能喝用途 ，设计 关节式机器人的机构 ， 并选择控制电机的类型。要求 学习 Pro/Engineer 或 UG 等大型 CAD 软件在 零件 设计中的应用， 以及使用 VC+编程， 具体要求如下： 1） 查阅资料（不少于 15 篇），翻译一定量的外文资料（不少于 3000 汉字），撰写开题报告及文献综述（不少于 2000 字）； 2） 完成 机器人运动学分析 ，求出其正反解； 3） 对机器人的运动学 轨迹 进行 规划 ，并进行优化 ； 4） 用工业工程的基础理论指导机器人的生产。 nts 毕 业 设 计（论 文）任 务 书 3对本毕业设计（论文）课题成果的要求包括毕业设计论文、图表、实物样品等： 课题成果内容包括： 1) 运动学分析，机器人运动学正反解 ； 2) 人机界面设计，轨 迹规划算法； 3) 机器人 生产类型及其质量控制 ； 4) 毕业设计论文。 4主要参考文献： 1景扶苇，王伯华医用手术机器人机器人技术与应用，： 2计算机控制的脑外科手术机器人医疗器械信息 3刘先曙作脑外科手术的机器人科技动态，： 4陈梦东，王田苗，张启先医疗外科机器人系统的研究和发展国外医学生物医学工程分册（）： 5丑武胜，王田苗面向脑外科微创手术的医疗机器人系统机器人技术应用，： 6王伟世界机器人 2002 年统计数据机器人技术与应用，： nts 毕 业 设 计（论 文）任 务 书 5本毕业设计（论文）课题工作进度计划： 起 迄 日 期 工 作 内 容 2005 年 3月 6日 3月 28日 3月 29日 4月 4日 4月 5 日 4月 12日 4 月 13 日 5 月 31 日 6月 1日 6月 10日 6月 11日 6月 14日 熟悉课题，查阅有关资料，完成资料翻译 完成文献综述，撰写开题报告 查询相关文献 完成设计任务 撰写毕业设计论文 准备 论文答辩 所在专业审查意见： 负责人： 年 月 日 学院（系）意见： 院（系）领导： 年 月 日 nts1Bone registration method for robot-assisted surgery:pedicle screw insertionK Abdel-Malek, BSc, MSc, PhDDepartment of Mechanical Engineering, The University of Iowa, Iowa City,Iowa, USAD P McGowan, BSc, MSc, MDDepartment of Surgery, Veterans Administration Medical Center, DesMoines, IowaV K Goel, BE, ME, PhD, D Kowalski, BScDepartment of Biomedical Engineering, The University of IowaA Hager, Bsc, MscDepartment of Mechanical Engineering, The University of Iowa, Iowa City,Iowa, USAS B Smith, BSc, MDDepartment of Orthopaedic Surgery, Indiana University, Indianapolis, IndianaSUMMARYA registration method that identifies bone geometry with respect to a roboticmanipulator arm is presented. Although the method is generally applicable to manyorthopaedic internal fixation, it was only demonstrated for the insertion of pedicle screwsin vertebral bodies for spine fixation. The method relies upon obtaining an impression ofthe vertebral bodies. Computed Tomography scans of both vertebrae and mold arereconstructed using a computer-aided-engineering (CAE) system. From thereconstructions, the surgeon is able to do pre-operative planning including selection ofpedicle screw diameter, direction of screw through pedicle, point of entry, and length ofAbdel-Malek, K., McGowan, D., Goel, V.K., Kowalski, D., and Smith, S., (1997), BoneRegistration Method for Robot-Assisted Surgery: Pedicle Screw Insertion, IMechE Journalof Engineering in Medicine, Vol. 211, Part H, pp. 221-233.nts2engagement. The three-dimensional models are then meshed to determine positions of thesurgeons preoperative plan relative to the mold. Intra-operative positions are defined inspace by a mechanical fixture rigidly attached to the mold and designed to allow amanipulator end-effector to recognize the global coordinates of the in-vivo spine. Thetheory and methodology were validated using a five-axis manipulator arm. This initialpresentation assumes and allows no relative motion between vertebrae in-vivo.Key words: robotic-assisted surgery, orthopaedics, pedicle-screws, internal fixation, pre-operative planning, registration.1 INTRODUCTIONRobots have had a significant impact on the manufacturing environment, yielding higherproductivity and improved quality. Robots, however, have not yet made a significantimpact in health care. The application of robots in medical practice is limited by a lack oftools yet to be developed. These tools are different from those in the manufacturingenvironment. Better visualization and control of the manipulator, as well as theopportunity for detailed pre-operative planning simulations, are of great interest to asurgeon conducting robot-assisted surgery.The work presented in this paper is aimed at developing robotic registration andcontrol systems that will allow robotic manipulators to safely assist surgeons in placingpedicle screws. Identification of bone geometry with respect to the manipulator is calledregistration. This research is the result of a collaboration between the University ofnts3Iowas Biomechanics laboratory, the Center for Computer Aided Design, and theVeterans Administration Medical Center in Des Moines, IA.In spine surgery, spinal instrumentation is often used to apply forces to correctdeformity or to stabilize an injured spine. Spine instrumentation may also improve the rateand quality of biologic fusion. Spine instrumentation systems may attach to vertebrae bysome combination of hooks, wires, or screws. Pedicle screw fixation is the best choice forshort-segment rigid fixation or when posterior-elements are absent.One of the most critical issues to success is the exact insertion of pedicle screws.Pedicle screws may be inserted by anatomic land marks as proposed by Magerl or Camille,by extensive use of fluoroscopy which exposes both the patient and surgical team tosignificant radiation, by extensive dissection of the pedicle, or by some combination ofthese techniques. However, knowledge of the ideal positioning is one thing and accuratelyachieving it physically is quite another. The space where each screw can be inserted isextremely limited and is close to major vascular structures, dural tube, and nerve roots.With the advent of robotic manipulator arms, the medical industry has endeavored toautomate many procedures that require high accuracy. Total hip and knee replacements,stereotactic brain surgery, and resection of brain tumors are some of the procedures thathave met with some success. In recent years, robotic technology has seen many advancesthat allow for accuracies of 0 0001. and repeatabilities 0 0005.nts4The long-term objective of the presented research is to develop a general systematicmethod for robot-assisted surgery. Robot-assisted insertion of pedicle screws is achallenging, yet achievable, problem. This work is aimed at developing an integratedsystem comprised of: (1) a CT/MRI scanning system to delineate three-dimensional bonegeometry, (2) a manipulator arm to accomplish the correct placement of a screw, and (3) acomputer-aided engineering interface to model the geometry and perform the necessarycalculations. Such a system provides the surgeon with a tool for improved control ofscrew insertion.A systematic and accurate method of pedicle-screw insertion should decrease thefraction of procedures which progress to clinical failure. With approximately 200,000 newcases presenting annually with up to 25% complication rate and 1% morbidity rate, Thisunique tool to assist the surgeon will improve outcomes and contribute to a reduction ofcost in the health care system.Long-term, there are several other areas where the technology proposed will be ofinterest and use. For spine surgeons, percutaneous pedicle screws could be precisely,quickly, and accurately placed with the aid of robotics and would be a minimally invasiveand safe procedure.Brain, spine, and endoscopic surgery were some of the applications discussed recentlyin the First International Symposium on Medical Robotics and Computer Assisted Surgery(MRCAS 94). It is also worth noting that the National Science Foundation has recentlynts5awarded a Grand Challenge grant for the researchers using a robot that assists in a totalhip replacement surgery “Robodoc.”2 LITERATURE REVIEWBecause of the multidisciplinary content of this research, this section will review two mainbodies of literature: (a) Work related to screw fixation mechanisms including screwplacement; and (b) work related to robotic-assisted surgery and bone registration methods.2.1 Pedicle Screw InsertionThe holding power of screws in bone is affected by the density to the second power, thesurface area of thread-bone contact and the configuration of the thread relative to thestructure of bone. Tapping of the drill hole is another source of possible loss of fixation.Frictional forces between threads and bone can have an impact on the tendency of screwsto back out (1, 2). It is possible to extrapolate and surmise that imprecise drill holes ortapping could compromise the stability of fixation. A concise review of screw insertionmethods was presented by Goel (3). A recent issue of Spine was dedicated to the use ofbone screws in the vertebral pedicles (4). A comprehensive literature review and surgicaltreatment alternatives as well as pedicle screw fixation mechanisms are discussed.In 1941, Lyons noted that the orthopedic literature had not addressed the subject ofhole preparation for screw placement (2). In this review of the current literature, it isdeduced again that this issue has not been adequately addressed. Two studies werents6published from 1989-1991 which addressed the hole preparation technique in pediclescrew placement. Both studies compared a hand drilling technique to a hand probingtechnique (5, 6).Pedicle screws are used for fixation in degenerative spondylolistheis, stenosis andspinal fractures. They have been found to have nearly a 20% greater rate of fusion thannon-instrumented controls. There have been multiple studies reviewing pedicle screw useand complications cited have included screw loosening, pullout, migration and loss ofreduction. In a recent review of 3498 cases, screw loosening was found to range from 1.7to 2.3% depending on the indication for placement and the chronological relationship toits surgical placement (AAOl, 1994).The anatomy of the pedicle in the thoracic and lumbar spines has been quantified for askeletal mature population (6-13). Anatomic points on the vertebral bodies for entry intothe pedicle have also been defined (14-16).Pedicle screw systems are available which should fit within the cortex of pedicles inthe lower thoracic, lumbar, and sacral pedicles. Image intensification and simpleradiographs have been used to guide pedicle screw placement, but radiographicassessment of pedicle screw placement has been demonstrated to show up to 8.1% falsepositives and up to 14.5% false negatives (16). Radiographically imaging the position ofthe screw tip relative to the anterior cortex is also difficult and misleading (17, 18) becauseof the convexity of the anterior body. More recently, Amiot et al. (82) presented ants7feasibility study for a computer-assisted pedicle screw fixation method with a targetedaccuracy of 11. mm and angular precision of 16.o 12.obased on 964 measurements in90 sessions. Measurements were taken by two observers on one artificial object. Variouserrors due to sensor calibration ( 25. mm) and 3D reconstruction ( 10. mm ) areaddressed.Similarly, a single CT image in the longitudinal plane of the pedicle may falsely implythe best path for a given diameter screw through the pedicle. From the unpublished workof Berlemann, the best path through the pedicle is determined from the three-dimensionalreconstructions of the pedicle (19).Studies have shown, however, that screws are placed outside the pedicle in 25% ofcases (20), 21% (16), 10% Roy-Camille, (14), and 6% (21). Post-operative complicationshave been reported as high as 25% and mortality as high as 1%.Measuring forces and torques to verify robot performance in surgery has not beendone to date. Torque of pedicle screw insertion has been correlated with bone density andstrength of fixation (22, 23). Bone strength in compression is correlated with the bonedensity to the second power (24, 25).Pedicle screw fixation has also correlated with bone density (22, 26-33). Bone densityand strength may be calculated from a quantified CT scan (27, 28, 34-37).nts82.2 Work related to robotic-assisted surgeryThere have been numerous reports of using robots in surgery, some of which have beenvery successful (reviews of such works can be found in Kassler (38) and Priesing (39).Although robotic-aided pedicle screw placement in the operating room has not beenattempted to date, a real time non-x-ray guidance system has been developed andaccurized in the laboratory (19). Results show 91% exact pedicle screw placement and noviolation of the pedicle cortex. Registration was accomplished with a vertebral marker onthe spinous process and registration of paired skeletal landmarks. This system would allowfor vertebral motion during instrumentation, but depends on accurate registration of thelandmarks by the surgeon.There have been numerous reports of using robots in other surgical applications.Successful applications of robots in surgery have included reports by Lavallee et al. (40),Benabid (41), and Cinquin (42), at Grenoble University in France, who have reported theutilization of a robot for more than 200 interventions in the field of neurosurgery. Acomputer reconstructed a 3-dimensional image of the brain, and a surgeon supplied thecoordinates to specify the trajectories using an IBM personal computer. The motion wasdecomposed into sequences of linear actions. Currently those authors are organizing toextend their technology to spine surgery.Kwoh et al. (43) and Young et al. (44), at the Memorial Medical Center in LongBeach, California, have used a PUMA 200 robot for automating the manual adjustmentsnts9of a stereotactic frame. In 1985, the robot assisted in surgery of a patient who had asuspicious brain lesion. The robot calculated precise trajectories for each incision. Thecontroller eliminated errors in calculating stereotactic frame settings and in transferringcalculated settings to a mechanical frame.Another successful robot (called Minerva) is used in surgery at the Swiss FederalInstitute of Technology. Glauser et al. (45) and Flury et al. (46) reported the design ofthis stereotactic thalamotomy robot. The robot was used with a CT scanner to definetrajectories. The target point and trajectory were determined from a CT scan. Theredundancy in the manipulator was used to compute two solutions as close as possible tothe tool-skin contact area. Its developers report adding speed, accuracy, and security byrobotization.In the orthopaedic field, probably the most well-known application is Robodoc, animage-directed surgical robot that was developed to help surgeons prepare a cavity for aprosthesis in a total hip replacement (THR) surgery. Human clinical trials are ongoing atten centers. The system uses digital data from CT scans of the femur. The developers(47-55) , currently at Integrated Surgical Systems, report a great increase in accuracy andprecision of the joint replacement procedure. Robodoc uses a framed method (fixator andpins) to immobilize the femur. Pins are inserted into the bone to retrieve a coordinatesystem and achieve registration. The manipulator used is a four degree-of-freedommanipulator of the Selective Compliance Articulated Robot Arm (SCARA) type.nts10Other robots currently performing surgery are the Automated Endoscopic System forOptimal Positioning (AESOP) developed by Wright (56), the Surgeon Assistant Robot forProstatectomy (SARP) developed by Davies et al. (57), and the Surgeon Assistant RobotActing on the Head (SARAH) developed by Finlay (58). Others are reported by Ng, et al.(59) for transurethral resection and Matsen, et al. (60) for distal femoral arthroplasty.In order to compute manipulator joint variables to follow a specified screw-pathtrajectory, the kinematics of the manipulator have to be defined. The formulation of aninverse kinematic solution for manipulators, in the general sense, is well established.Solutions of the kinematics problem for manipulators have been studied as early as 1968(61). The inverse kinematics problem has been solved by various methods, e.g., algebraictransforms (62), screw algebra (63), dual matrices (64), dual quaternion (65), iterative(66), and geometric approaches (67). More recently, Pohl and Lipkin (68) presented anew method using complex numbers, while Raghavan and Roth (69) reported a methodfor calculating the inverse kinematic solution for any series chain manipulator and closed-loop linkage.One of the most challenging aspect of robotic-assisted surgery is bone registration.There has been many reports of registration methods. At the Rizzoli Institute, aregistration method has been developed using markers positioned in the bone to perform atotal knee arthroplasty (70). A frameless patient registration method was reported by Aultand Siegel (71) at Carnegie Mellon University that uses ultrasound imaging. The locationsof target features relative to the reference features are identified. Another framelessnts11guidance method was reported by Grimson et al. (72) at MIT to register clinical data, suchas CT reconstructions of the patients head. Simon et al. (73) presented two techniquesfor registration: high-speed pose tracking and intra-surgical data selection in order toperform a surface-based meshing of the data. At Northwestern University, (74, 75)reported a registration method used in Total Knee Replacement. This system usesFiducials (reference features located on both the computer-based model and the bone).The coordinates are then matched to register the bone surface. A more recent report ofusing a robot in inserting a guide-wire was reported by Bouzza-Marouf, et al. (76) wherethe bone is secured using a fixation mechanism.3 IDENTIFYING REFERENCE FRAMESThe major difficulty in robot-assisted surgeries is the computer identification of bonegeometry with respect to an invariant reference frame, that is the global coordinate systemknown by the robotic arm. Several methods exist for identifying coordinate points such asthat reported by Nolte (19), where the coordinates of three to six characteristic anatomiclandmarks are captured for an operative paired point matching procedure. In the workpresented by DiGioia, et al. (77), the registration method still requires pins or frames todetermine the position and orientation of femoral bone. The markers are visible in medicalimages and are still attached to the patient at the time of surgery.In this paper, a unique method for bone registration is presented that does not insertany markers into the bone or require exact identification of a point on a bone. Therefore,this method does not expose the patient to additional trauma and risk associated with thents12implantation of markers or require the surgeon to locate an exact point on a vertebraesurface which could never be done consistently. This method is based upon obtaining apartial mold of the vertebral bodies. Rather than defining a minimum of 3 non-collinearpoints, the mold defines all complex three-dimensional surfaces of the posterior elements.After experimentations with different types of material, dental impression materialcalled Reprosil type I (Dentsply International Inc., Milford, DE) was selected. Thematerial is composed of Vinyl Polysiloxane and is used in the reconstruct