Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Interactive Treatment Planning in High Dose-Rate Brachytherapy for
  Gynecological Cancer   High dose-rate brachytherapy (HDRBT) is widely used for gynecological cancer
treatment. Although commercial treatment planning systems (TPSs) have inverse
optimization modules, it takes several iterations to adjust planning objectives
to achieve a satisfactory plan. Interactive plan-modification modules enable
modifying the plan and visualizing results in real time, but they update plans
based on simple geometrical or heuristic algorithms, which cannot ensure
resulting plan optimality. This project develops an interactive plan
optimization module for HDRBT of gynecological cancer. By efficiently solving
an optimization problem in real time, it allows a user to visualize a plan and
interactively modify it to improve quality. We formulated an optimization
problem with an objective function containing a weighted sum of doses to normal
organs subject to user-specified target coverage. A user interface was
developed that allows a user to adjust organ weights using scroll bars. With a
simple mouse click, the optimization problem is solved in seconds with a highly
efficient alternating-direction method of multipliers and a warm start
optimization strategy. Resulting clinically relevant D2cc of organs are
displayed immediately. This allows a user to intuitively adjust plans with
satisfactory quality. We tested the effectiveness of our development in cervix
cancer cases treated with a tandem-and-ovoid applicator. It took a maximum of 3
seconds to solve the optimization problem in each instance. With interactive
optimization capability, a satisfactory plan can be obtained in <1 min. In our
clinic, although the time for plan adjustment was typically <10min with simple
interactive plan modification tools in TPS, the resulting plans do not ensure
optimality. Our plans achieved on average 5% lower D2cc than clinical plans,
while maintaining target coverage.

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The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
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The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
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The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
32
The categories of this paper are: atom-ph