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Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 1. What‘s in a surgery 2. Technical tools in CS 3. CAS systems
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Page 1: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

Computer-Assisted Surgery Medical Robotics

Medical Image Processing

LECTURE 1

1. What‘s in a surgery

2. Technical tools in CS

3. CAS systems

Page 2: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 3

PAST: Cut, then see

Page 3: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 4

PRESENT: See, then cut

Page 4: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 5

FUTURE: Combine, see, minimally cut

Page 5: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 6

How do surgeries proceed?• Diagnosis

– based on physical exams, images, lab tests

• Preoperative planning– determine the surgical approach– elaborate intraoperative plan (path, tools, implants)

• Surgery– prepare patient and assess condition– acquire intraoperative images, adapt and execute plan

• Postoperative follow-up– exams, lab tests, images to be corroborated

Page 6: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 7

Treatment procedures• Invasive

– neurosurgery: tumor removal– hear surgery: clogged arteries, transplants– orthopaedic surgery: spine, hip replacement, knee,

fractures– gall bladder removal, prostate, various cancers

• Non-invasive– radiation therapy– kidney stone pulverization

Page 7: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 8

Medical imaging modalities

• Preoperative– Film X-rays, Digital X-rays, Ultrasound,

Angiography, Doppler, ….– Computed Tomography (CT), Magnetic Resonance

(MR), Nuclear Medicine (PET, SPECT, …)

• Intraoperative– X-ray fluoroscopy, ultrasound– video images (laparoscopy, arthorscopy)– Open MR

Page 8: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 9

Medical imaging modalities: X-rays

Film or Digital X-ray X-ray Fluoroscopy

Page 9: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 10

Medical imaging modalities: continuous X-ray angiography

Page 10: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 11

Medical imaging modalities: Ultrasound

Page 11: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 12

Medical imaging modalities: CT

Single slice

Series of parallel slices 2mm apart

Page 12: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 13

Medical imaging modalities: MRI

Good imaging of soft tissue

Page 13: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 14

Medical imaging modalities: Nuclear medicine (PET, SPECT, NMR)

Functional imaging: colors indicate

electrical activity

Page 14: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 15

Medical imaging modalities: video

TV quality image from small camera (laparoscope or endoscope)

Page 15: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 16

Surgical approaches• Open surgery

– area of interest directly exposed by cutting– direct sight and touch of anatomy by surgeon– direct access but causes additional damage

• Closed surgery not always feasible– indirect access to anatomical area of interest– no direct visual sight or tactile feel– catheterization, biopsies– intraoperative imaging is often required– require more skills: lengthier, more difficult

• Diagnostic surgery

Page 16: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 17

Minimally invasive surgery

• Provides treatment through small incisions

• Uses imaging equipment for seeing and instruments for touching

• Advantages: less damage, faster recovery

• Disadvantages: hand/eye coordination, time

• Examples: – brain tumor removal, laparoscopic surgery

Page 17: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 18

Laparoscopic surgery

Page 18: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 19

Brain surgery

Page 19: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 20

Total Hip replacement -- principle

Page 20: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 21

Total hip replacement procedure

Page 21: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 22

What is required to perform surgery?

• Knowledge intensive task– anatomy, procedures, cases– experience, skills, customization and generalization

• Manual and cognitive skills– dexterity, precision, strength, tool manipulation– spatial orientation and navigation

• Determination– information integration– judgement, decision, execution

Page 22: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 23

Medical and surgical trends• Imaging improved dramatically diagnosis

– started with X-rays last century– 30% of all cases use images

• Move towards minimally invasive procedures– introduced in the mid ‘70s, slow acceptance (laparoscopy)– the method of choice now

• More precise and delicate procedures

• Development of sophisticated surgical hardware

• High degree of craftsmanship and skills

Page 23: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 24

Socio-economical medical trends

• Increase of aging population and associated problems: tumors, osteoporosis, Alzheimers

• Larger population volumes

• Universal, first rate, highly specialized care

• Health care costs reduction (managed care)

• Higher patient requirements

• Legal and regulatory aspects

Page 24: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 25

Surgical Needs

• Support for image-guided surgery• Passive and active devices for accurate spatial positioning,

tracking, and execution• Modeling, planning, viewing, diagnosis systems• Systems integration: from diagnosis to post-op• Improve current practice and enable new procedures• Simulation and training systems

Augment the surgeon’s capabilities with better quantitative planning, execution, and integration

Page 25: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 26

Current clinical status• Imaging

– vast databases of medical images– digitized atlases– mostly uncorrelated unimodal qualitative interpretation

• Devices– mostly passive and non-invasive (supports)– laparoscopic camera, – some real-time tracking

• Planning, modeling, visualization– 3D reconstruction, some registration

Page 26: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

Part 2: Computers and Robots

Technology and algorithms

available today

Page 27: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 28

How can computers help?(or are already helping…)

• Image processing– single image: enhancement, noise reduction,

segmentation, quantitative measurements– image stacks: 3D reconstruction, segmentation– image sets: registration, comparison, data fusion

• Planning and simulation– integrate medical images and CAD models– planning and simulation programs

• Computer vision and graphics– camera modeling, image registration, rendering

Page 28: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 29

Image processing

Page 29: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 30

Planning and simulation

Page 30: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 31

Virtual man project -- digital model

Page 31: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 32

How can robots and sensors help?(or are already helping…)

• Robotic devices– passive, semi-active, active devices – instrument and anatomy positioning and holding– cutting and machining

• Real-time tracking – optical, video, electromagnetic devices– navigation tools

Page 32: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 33

Robotic devices

Page 33: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 34

Real-time tracking devicescamera

instrument

Passive markers

Instrument has infrared LEDs attached to it Active markers

Page 34: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 35

Computer-Assisted Surgery (CAS)

A computer-integrated system to enhance the dexterity, visual feedback, and information

integration of the surgeon

Key points:• The goal is NOT to replace the surgeon• A new paradigm for surgical tools• Address a real clinical need• Prove efficacy and cost-effectiveness

Page 35: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 36

Elements of CAS systems

Page 36: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 37

Elements of CAS systems• Preoperative planning

– image acquisition, modeling, analysis, simulation– plan elaboration, tool and prosthesis selection– Output: preop images, 3D models, prosthesis type and

position, navigation and cutting plan

• Intraoperative execution– passive, semi-active, active robot– real time tracking– intraoperative imaging (fluoroscopy, ultrasound)

Page 37: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 38

State of the Art (1)

• Main clinical procedures– neurosurgery: biopsies, tumor removal– orthopaedics: hip and knee replacement, spine, pelvis

and femur fractures– maxillofacial and cranofacial– laparoscopy: laparoscope holders– new fields: dentistry, ophtalmology, prostate

• Mostly rigid structures: bones!!

Page 38: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 39

State of the Art (2)

• Commercial navigation systems– main uses: neurosurgery and spine surgery

• Commercial robotic systems– ROBODOC for total hip replacement– laparoscope arm holders

• Research– very active, very interdisciplinary– a few dozen systems tested in-vitro

Page 39: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 40

State of the Art (3)

• Major players– INRIA Sophia Antipolis, Grenoble, Johns Hopkins,

Brigham Women’s H./MIT, Shadyside H./CMU, Imperial College, many places in Germany and Japan

• Interdisciplinary conferences and journals– started in 1994: MRCAS’94; Orthopaedic CAS

meetings, visualization, etc,– Journals: Computer-Aided Surgery, Medical Image

Analysis

Page 40: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 41

Examples of CAS systems in use

• Image-guided navigation systems

• ROBODOC: Total hip replacement surgery

• LARS: Laparoscopic assistant

• Radiosurgery

Brief overview follows; will be covered in detail later

Page 41: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 42

Image-guide navigation• Purpose

– accurate placement of instruments with respect to imaged anatomy for several procedures

• Problem addressed– provide 3D vision of unseen structures

replace static 2D fluoroscopy or larger openings– improve precision of biopsies, screw placements

• Scope– non-invasive– creates surface model from preop images– registration of images to anatomy by direct contact

Page 42: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 43

Image-guided navigation

Page 43: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 44

Image-guided navigation (2)pedicle screw insertion

Page 44: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 45

Status

• In clinical use

• Over 7,000 neurosurgeries performed with commercial systems

• Gaining popularity in pedicle screw insertion

• Decreased the misplacement rate from 10-40%to 5-18% (clinical study of 700 cases)

• More clinical applications under development

Page 45: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 46

ROBODOC: Total hip replacement• Purpose

– precise machining of cementless hip implant canal

• Problem addressed– complications in canal preparation and implant fixation– improve positioning accuracy and surface finish

• Scope– invasive, numerically controled machining– plan from preop CT, registered via pins– adapted commercial robot– custom bone fixator and bone motion detection

Page 46: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 47

Artificial hip joint

Page 47: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 48

Total hip replacement procedure

Page 48: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 49

ROBODOC: Total Hip Replacement

Page 49: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 50

ROBODOC system diagram

Page 50: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 51

ORTHODOC Planning

Page 51: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 52

ROBODOC robot diagram

Page 52: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 53

ROBODOC robot

Page 53: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 54

ROBODOC procedure

Page 54: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 55

ROBODOC cutting

Page 55: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 56

ROBODOC History

• Developed by IBM Research and Integrated Surgical Systems

• First active surgical robot– 1986: feasibility study– 1989: in-vitro testing of dog system– 1990: 26 dog cases– 1992: development of human system– 1994: first human procedure in Frankfurt– 1995- clinical trials in the US for FDA approval

Page 56: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 57

ROBODOC current status

• Sold by Integrated Surgical Systems

• Over 3,000 cases performed

• 15 systems installed in Germany, 2 in Austria

• Excellent short term clinical results (3 year study)– no fractures, few failures (continue manually)

• Long-term clinical results to be determined– key issue: does the artificial hip last longer?

• Problems: OR time, pin insertion

Page 57: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 58

Laparoscopic assistant: LARS

• Purpose– laparocopic camera holding and precise navigation

• Problem addressed– cumbersome, unintuitive, and unsteady camera

positioning

• Scope– non-invasive intraoperative device – video images interpreted by surgeon

• Benefits– direct camera manipulation; stability, precise targeting

Page 58: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 59

Laparoscopic assistant: LARS

Page 59: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 60

LARS characteristics

• Designed at IBM Research, 1993. Similar commercial devices available (AESOP)

• Custom redundant 7 degree-of-freedom robot

• Holds laparoscopic camera

• Fulcrum motions: no motion at point of entry

• Mouse-like controls on surgical scissors

• Position memory and replay

Page 60: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 61

Stereotactic Radiosurgery• Purpose

– plan and deliver precise radiation doses

• Problem addressed– precise positioning and dosing of radiation to avoid

healthy organ damage

• Scope– non-invasive intraoperative device– active beam postioning and planning– complex preoperative planning based on MRI images– registers preoperative plan with stereotactic frame

Page 61: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 62

Stereotactic Radiosurgery

Page 62: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 63

CYBERKNIFE system

Page 63: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 64

CYBERKNIFE system

Page 64: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 65

Stereotactic Radiosurgery: planning

Page 65: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 66

Stereotactic Radiosurgery

• Developed at Stanford starting in 1992

• Complex 3D radiation plans

• Currently in clinical use

• Frameless procedure under development follow head with markers, video, or

X-rays

• Company Accuray has performed several clinical trials with frameless procedure

Page 66: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 67

Developing CAS systems

• Similarities– understand and address real needs of surgeons– consider established procedures, context, use– work on problems that will make qualitative difference– constant feedback from user; test ideas and prototypes

• Differences– system performace requirements

Page 67: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 68

Developing CAS systems

• understand and address real needs of surgeons

• consider established procedures, context, use

• constant feedback from user; test ideas and prototypes

• system requirements– safety and reliability– fail-safe systems: can always stop and proceed as usual– system integration

Page 68: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 69

CAS systems design cycle• Prototype development

• In-vitro experiments– system refinement

• Cadaver studies– system refinement

• In-vivo experiments– first animal and human trials

• Clinical trials– double blind studies, Hospital and FDA protocols

• Agency approval and commercial release

Page 69: Seminar in Computer-Assisted Surgery Medical Robotics Medical Image Processing LECTURE 1 Dr. Leo Joskowicz Institute of Computer Science The Hebrew University.

CAS, Spring 2001 © L. Joskowicz 70

Summary• Great potential for robots and computers inside

and outside the operating room

• Great research and commercial interest, especially in the past 3 years

• Just the beginning of the road: many things remain to be invented

• Great role for applied computer science:– image processing, geometric planning, registration,

graphics, vision, real-time systems, robotics, etc.


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