CISC-330: Computer-Integrated Surgery
This course is designed for 3rd and 4th year computing students and it is a mandatory course in the Biomedical Computing (BMCO) Honors Program in the School of Computing. The course is designed to introduce the concepts and some of the most relevant issues of computer-integrated surgery; a field in the intersection of computer science, engineering, medical physics, life sciences and medicine. Throughout the course, you will learn to ask questions and look for answers the way we design and analyze computer-integrated surgery systems. The course will review underlying technologies, such as medical imaging, tracking, navigation, treatment planning, surgical guidance and navigation. We will study the use of medical images for surgical guidance and review specific challenges of ultrasound, X-ray, fluoroscopy, computed tomography and magnetic resonance imaging. We will study concepts, methods, and clinical systems introduced through series of applications that are currently in clinical use or under development at various research institutions, including the Perk Lab (http://perk.cs.queensu.ca) at Queen’s University.
This course is followed by CISC 472 Medical Informatics as a continuation to the subject, also a required one in the Biomedical Computing (BMCO) Honors Program in the School of Computing.
For BMCO students: CISC-121*; CISC-271* or MATH-272* or equivalents
For all other students: permission from instructor
PROJECT – Brain Biopsy Navigation, Due date: Dec 21, 4:00 PM (no extension is possible)
HW3 – Surgical Pointer Calibration, Due date: November 21 (Mon) 08:30 AM (morning)
HW2 – Fluoroscopy Reconstruction, Due date extended to October 31 (Mon) 09:30 AM (morning)
HW1 – Math Library, Due date extended to October 5 (Wed) 09:30 AM (morning).
Gabor Fichtinger, PhD
Professor and Cancer Care Ontario Research Chair
School of Computing, Queen’s University
Office: Goodwin 725
Email: firstname.lastname@example.org ß PREFERRED WAY OF COMMUNICATION
Kyle Sunderland (email@example.com)
The TA will assist in grading and will not hold regular office hours
Class Times & Location
Tue 8:30 – 9:30 Goodwin 254
Wed 10:30 – 11:30 Goodwin 254
Fri 9:30 – 10:30 Goodwin 254
Course Schedule & Lecture Notes
Tue 9:30 – 10:30 (Goodwin 747, Perk Lab conf. room) – right after class
Wed 11:30 – 12:30 (Goodwin 747, Perk Lab conf. room) – right after class
Fri 10:30 – 11:30 (Goodwin 747, Perk Lab conf. room) – right after class
Please always email me the day before you wish to see me in office hour. Office hours are often crowded, I want to make sure that you receive sufficient time and attention.
I strongly encourage you to use the office hours for in-person consultation, especially if you have questions or problems with materials in class or with the homework assignments. Please come to see me within the posted office hours. Please always email me the day before. If you miss me in office, look around in the Perk Lab offices on the 7th floor of Goodwin. If you do not find me for some reason, send me an email note so that I know that you came to see me (which shows that you care about your grade.) Generally, never be embarrassed to ask questions. Asking questions and seeking help will always have a positive impact on your grade. I consider this as an important gauge of your overall interest and commitment. I want you to understand and learn the material, so that I can reward you with a good grade.
I truly enjoy teaching computer-aided surgery and medical imaging, a captivating and challenging subject in the intersection of computing, engineering and heath sciences. My teaching and mentoring philosophy coincides with the Queen’s University Academic Plan, as I strive to prepare my students for advanced learning and equip them with knowledge and skills for tackling the real-life problems they will encounter as future creators or competent users of cutting-edge healthcare technologies.
My undergraduate courses are challenging, for they need considerable intellectual and time effort to complete them successfully. I do not use tests, midterms or exams to assess my students, as I am not interested in their ability to answer prepared questions. Instead, I use projects to assess their abilities to pose relevant questions and analyze the meaning and ramifications of their results because I am most interested in encouraging their growth in the creative process. During each term, students must perform about four projects. Each concerns a complete computer-aided surgery problem and typically requires design, implementation, testing and detailed analysis of the results. I always ask my students to test the limits of their solutions; my mantra about healthcare engineering is “we never know what we created until we break it.” These projects sometimes may be somewhat individualized to fit their prior advancement in the subject and specific career goals, i.e., medicine, science or industry. I strive to prepare my students for their chosen career path while coaching them to think outside the box and nurturing their creativity and insights. As I get to know the individual strengths and needs of my undergrads, mentoring becomes an important aspect; I often help them find thesis supervisors, advise them about graduate school and preparing portfolios, refer them to employers, etc.
The dominant format is classroom presentations, with as much discussion as time permits. There may be occasional guest lecturers, presenting on various topics of interest. Guest lecturers will be scheduled flexibly depending upon their availability. When I must be away for some reason (conference, etc.) I will arrange for guest lectures if possible, instead of cancelling classes or setting makeup classes.
Class attendance is highly recommended, because lecture notes are mostly without words and you will have to take notes. We will move fast in the classroom and often cover material outside the course notes. Every assignment will involve some details that are not in the course notes but will be discussed in class. Students who tend to miss classes tend to do poorly in this course.
There may be optional lab sessions offered, to experiment with image-guided surgery navigation systems. The sessions will not be graded and they will not be counted in your grade numerically, however it will give me a better understanding of your commitment to the course.
The lab sessions will be scheduled individually and flexibly to fit your schedule. The lab sessions are expected to be sometime in November or December and they will be coordinated by Perk Lab researchers. Offering and schedule will depend on research schedules in the Perk Lab and are subject to change.
Each session will take about 60 minutes to compete. You will perform image-guided needle placements interventions in non-biohazardous subjects (so called phantoms) that may contain actual human body parts. (This is as close to cadaver trials as is gets in an engineering establishment.)
During the lab sessions, you will be asked to participate in human performance studies that investigate the use and effectiveness of novel surgical guidance techniques developed in the Perk Lab. You will be given an informed consent form to describe the study and its voluntary nature. Your participation in the study will help our research in the Perk Lab (http://perk.cs.queensu.ca).
· Understanding of the field of concepts of computer-integrated surgery
· Knowledge and competence in computer-integrated surgery and systems applications
· Ability to design, develop and analyze computer-integrated surgery systems
· Ability to analyze and “reverse engineer” computer-integrated surgery systems
· Ability to make links and connections between computing, electrical engineering, mechanical engineering and medical sciences as they apply to computer-integrated surgery
· Understanding of undergraduate and graduate research opportunities pertinent to computer-integrated surgery
The assessment is based on typically assignments (due in the sessional weeks) and one final project (due in the exam period)/. No test, no midterm, no final exam.
Assignments involve problems pertinent to medical image computing and computer-assisted surgical navigation. The assignments will be posted on this website, under Announcements above. The assignments are roughly of the same weight, depending on our schedule and progress with the material. The assignments include concept, programming, test and discussion elements. Three assignments (due in the sessional weeks) and one final project (due in the exam period) are planned. There will be at least two weeks for each, from posting date to submission date. The assignments will take a fair bit of time (and this is an understatement). Do not leave them for the last few days, when you will discover that you have difficulties. Start on them early, size up the problem and formulate a solid work plan. Come to office hours when you encounter difficulties. Consultation will not only save you from a poor grade, but, again, it will give me a better understanding of your commitment to the course. I try to adjust submission deadlines to avoid mass collision with your other midterms and exams. To this end, I urge you to consult with your classmates and bring constructive suggestions to adjust our schedule. Once the cut-off date and time are set, there will be no individual extension, unless you produce written evidence of a medical reason or other extenuating circumstances.
You may be asked to come in for a “walk-through” of your submission, to explain what, why and how you did in the assignment.
· Submit the assignments in PDF format, by email to the TA with copy to me. You will receive an acknowledgment of receipt. If you do not get one before or shortly after the deadline, resend the submission with noting the original date of submission.
· When you submit multiple files, order them and zip them together into a single file.
· Use a file / folder name that includes your full name and identifies the assignment as “Lastname-Firstname-Assgn-1.gz”.
· Your submission will often include handwritten inserts, figures and math – scan these into PDF and zip it with the rest of the submission; number the pages sensibly.
· Write your full name and student number in the submission.
o Work out your programs in MATLAB.
o Submit your code in MATLAB file format (m files).
o Include screen capture or some evidence that the code runs and produces the results you claim.
o Include some README or instruction for running your code.
o Your code must be complete and self-contained.
o I and the TA must be able to run your assignment in a common MATLAB environment. If you use special libraries, you must include those with your source, with exact reference to the source where they came from.
o You must include a proper header in each program file and for each routine; you must follow good software practices you learned in your other courses – this does count in your marks.
Notes on integrity and originality
o You can use any publicly available book, website, article, and open-source software, and you must always fully reference the source, except resources that may contain homework submissions made for CISC 330 or other related CISC courses such as 271 or 472, regardless to when and where it was posted. This exclusion is enforced because your assignments may derive from ones given in earlier years. Of course, you can freely use your own work done in other courses.
o Any attempt to submit fake results will be penalized.
o I encourage you to study and brainstorm in groups, but independent work is required in the submitted material.
o If you brainstorm with another person, you must acknowledge this in your submission.
o Do not share any part of the written assignment, including figures, software code, with anyone.
o You will be penalized if you copy someone else's work or allow your work to be copied.
I will post on this website PDF copies of the power point presentations shown in class. I sometimes change the presentation in the last minute, in order to adjust to the flow of the course. (Some ad-hoc subjects may not have pre-made course notes – you will need to take your own notes in class and you can read up on the subject in the recommended literature. The slides do not contain many words and sometimes no words at all. I recommend that you download and/or print out the slides and take notes, either electronically or manually. If you miss a class, you still may like to print out the handouts for the following time, because lectures tend to be grouped by themes, rather than by calendar. As there is no concise textbook for the course, your notes will serve as primary reference in the assignments.
All components in this course will receive numerical percentage marks and an overall percentage score will be calculated as the weighted average of the scores from the components.
The final numerical grade will be entered on SOLUS, which then automatically computes your letter grade, according to current University/Faculty standards.
Academic Integrity & Dishonesty
Queen's policy for Academic Integrity & Dishonesty will be enforced. Academic Integrity is constituted by the five core fundamental values of honesty, trust, fairness, respect and responsibility (see www.academicintegrity.org). These values are central to the building, nurturing and sustaining of an academic community in which all members of the community will thrive. Adherence to the values expressed through academic integrity forms a foundation for the "freedom of inquiry and exchange of ideas" essential to the intellectual life of the University (see the Senate Report on Principles and Priorities)
Students are responsible for familiarizing themselves with the regulations concerning academic integrity and for ensuring that their assignments conform to the principles of academic integrity. Information on academic integrity is available in the Arts and Science Calendar (see Academic Regulation 1) on the Faculty of Arts and Science website.
Departures from academic integrity include plagiarism, use of unauthorized materials, facilitation, forgery and falsification, and are antithetical to the development of an academic community at Queen's. Given the seriousness of these matters, actions which contravene the regulation on academic integrity carry sanctions that can range from a warning or the loss of grades on an assignment to the failure of a course to a requirement to withdraw from the university.
Specifically in this course, the following activities are examples of violations of Academic Integrity:
· Sharing a partial or complete solution to a marked assignment with another student (not even after the submission deadline).
· Looking at another student's partial or complete solution to a marked assignment -- with or without their permission
· Asking another person to write code or pseudo-code for you for a marked assignment
· Asking for help with a marked assignment from an online site
Statement on copyright for inclusion on all course materials
The material on this website, linked course notes, lectures and assignments is copyrighted and is for the sole use of students registered in this course. The material on this website may be downloaded for a registered student’s personal use, but shall not be distributed or disseminated to anyone other than students registered in this course. Failure to abide by these conditions is a breach of copyright, and may also constitute a breach of academic integrity under the University Senate’s Academic Integrity Policy Statement.
The books listed below are not mandatory, but I can highly recommend reading them. They are available online and some in the campus bookstore.
Please monitor this site during the term, as I may post here some reprints that you may find useful in the assignments.
Articles available from http://perk.cs.queensu.ca under “Publications”
· [Kazanzides] Kazanzides P, Fichtinger G, Hager GD, Okamura AM, Whitcomb LL, Taylor RH. Surgical and Interventional Robotics: Core Concepts, Technology, and Design. IEEE Robot Autom Mag. 2008 Jun 1;15(2):122-130
· [Fichtinger] Fichtinger G, Kazanzides P, Okamura AM, Hager GD, Whitcomb LL, Taylor RH. Surgical and Interventional Robotics: Part II: Surgical CAD-CAM Systems. IEEE Robot Autom Mag. 2008 Sep 1;15(3):94-102.
· [Hager] Hager GD, Okamura AM, Kazanzides P, Whitcomb LL, Fichtinger G, Taylor RH. Surgical and Interventional Robotics: Part III: Surgical Assistance Systems. IEEE Robot Autom Mag. 2008 Dec 1;15(4):84-93.
COURSE SCHEDULE & LECTURE NOTES
The schedule is subject to changes, depending on our progress in the classroom. I WILL KEEP REVISING THE COURSE NOTES, PLEASE CHECK THE LATEST VERSION SHORTLY BEFORE CLASS.
Math primer (Vector geometry)
Surgical Tool Calibration
C-arm fluoroscopy navigation
External beam radiation therapy
To be posted
To be posted
Image guided robots
To be posted