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Intensity Modulated Radiation Treatment for Cancer Therapy
External beam radiation therapy is used in the therapy of approximately half of all cancer
patients. Radiation is directed towards the tumour from outside the body using a linear
accelerator. The goal is to cover the tumour with a high uniform dose, while delivering as
little radiation as possible to surrounding healthy organs and tissues.
In Intensity-Modulated Radiation Therapy (IMRT), the beams from each direction are
broken down into “beamlets” and the intensity of each beamlet is individually selected
(this is not the whole truth, but close enough for our purposes). The beamlet intensities
are determined from a treatment planning system that takes as input a patient scan and the
target doses as given by a doctor, and outputs a set of beamlet intensities. Our goal in this
case is to design the optimization component of a treatment planning system for a
simplified 2-dimensional version of the problem.
Figure 1: The Cross Section
Consider a single patient case as given in Figure 1. This corresponds to a cross section
through a patient, where the patient is facing up and the patient’s feet emerge from the
page. Hence the right femur head appears on the left-hand side of the picture. The cross
section is broken down into 400 voxels (volume elements), numbered from 1 to 400 as
shown in the top-left of the cross section. The CTV (clinical target volume) is the target
region. Surrounding the CTV are healthy structures: the bladder, left femur head, rectal
solid, and right femur head. All voxels that are not contained in one of these structures
are part of the “unspecified region.” There are 6 beam angles, and each one consists of 10
beamlets, labeled anti-clockwise from 1 through 60 as shown in the figure.
“DoseMatrix.xlsx” gives the dose delivered to each voxel from each beamlet when the
beamlet is used at unit intensity. Doses to a voxel from different beamlets are additive, so
if 5 Gray is received from Beamlet 1 and 5 Gray is received from Beamlet 2, then the
total dose from the two beamlets is 10 Gray. (The units for radiation dose are Gray or
Gy.)
The prescription plan for this patient is as follows. Our goal is to select beamlet
intensities that, as closely as possible, satisfy the constraints below. A set of beamlet
intensities is called a plan.
CTV every voxel receives a uniform dose of 82.8 Gy
Bladder max dose to a voxel: 81.0 Gy
average dose should be <= 50.0 Gy
at most 10% of the bladder should receive a dose > 65.0 Gy
Rectum max dose to a voxel: 79.2 Gy
average dose should be <= 40.0 Gy
Unspecified max dose to a voxel: 72.0 Gy
Left femur head max dose to a voxel: 50.0 Gy
At most 15% of the left femur head should receive > 40.0 Gy
Right femur head max dose to a voxel: 50.0 Gy
At most 15% of the right femur head should receive > 40.0 Gy
The requirement of a uniform dose to the CTV cannot be exactly achieved – there is
always some variation across the CTV. Rather, this requirement means that the range of
doses should be kept small if possible – say within 5% of one another. The dose to the
CTV voxels should not drop too low since otherwise some tumor cells may survive;
doctors are very nervous about “cold spots” that are not so cold – even 79 Grey would be
considered “cold.” The dose to the CTV voxels should not get too high since that can
cause severe patient complications.
Your mission:
Give 3 or 4 plans that represent different tradeoffs between achieving the required dose to
the CTV and not overdosing healthy structures. Try to display your plans in a way that
makes them easy to understand, e.g., graphically, with information on how the plans meet
the dose requirements. The file “VisualDemo.xls” may be useful to you in this regard, but
note that the positions of the CTV and the dose requirements in that file are different
from those given in this case. You should feel free to use any method you like to
graphically display results.
You should also discuss your thoughts/experiments on the following issues. We are
interested in not just your conclusions, but also your methodology, i.e., make sure you
explain your approach to answering the question:
1. The input parameters in the plan, e.g., 82.8 Gy, are based on experience with past
patients. As such they are not set in stone. If you could relax one or two of those
numbers slightly to improve the plan in other respects then which one(s) would
you relax? Take care with relaxing the CTV and femur head dose parameters,
since those structures are especially sensitive. (The femur heads are intricately
linked with a patient’s immune system.)
2. These plans are delivered in fractions over multiple days. Each day the patient
comes in, is positioned on a bench, and receives a dose (a fraction). This leads to
variability in how they are positioned each day, and therefore in how much dose
is delivered. Can you think of a simple way or ways to modify your formulation
to still ensure good medical outcomes? We do not expect you to implement your
ideas, but we do expect you to write, e.g., a couple of paragraphs on your
proposed approach.
Write up your solutions in a report that is suitable for reading by your classmates, i.e.,
your report is intended for specialists who understand optimization. There is no need to
write for a general medical audience. You should
1. clearly explain your formulation of the problem,
2. discuss any assumptions you made,
3. explain how you defined any tradeoffs,
4. describe any implementation issues or complications you encountered, and
5. give your results!
This list is just to ensure you don’t forget anything. You should not structure your report
like this. It is important that your results are repeatable, i.e., that a classmate reading your
report could repeat your analysis, so please include everything that you believe is
necessary in that regard. There is no need to include the dose matrix or any other material
that is given as part of the case. For our convenience, please include a copy of your code
in your report. Hand in a pdf of your report and a copy of any files you create, so we can
run your code if we wish. Be precise and concise; points are allocated for the quality of
your writing and presentation as well as the content.
Here are some suggestions for how to get started:
1. Classify each voxel as to which structure it belongs.
2. Get the dose calculation working for computing the dose to each voxel. Verify
visually that your dose calculation is working as intended.
3. Try to identify a reasonable set of beamlet intensities with the Excel tool. Don’t
try to get too fancy! This step is just to develop a sense of the scale of beamlet
intensities that are plausible.
4. Formulate an optimization problem. Don’t include all the constraints at first – add
them in one at a time, verifying at each stage that you are getting results that you
understand and trust.

讲解data编程、辅导Python，Java，C++程序设计 辅导Python编程|辅导R语言编程

讲解data编程、辅导Python，Java，C++程序设计辅导Python编程|辅导R语言编程