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Welcome to PyBDC Documentation!
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=====================================
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Python toolkit for calculating dosage for breast CT.\
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The following software enables accurate dose estimation for one or various breast exposures specifically for breast CT. The software can be used on Windows and Mac operating systems and using a graphical user interface. The mode is further explained below along with an overview of the methods, how to choose a method, the program inputs and buttons, the incident spectrum format, images of the GUI, and the accompanying data files.
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Table of Contents
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==================
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.. toctree::
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:hidden:
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Home <self>
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.. toctree::
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:maxdepth: 2
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install
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methods
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gui
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examples
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Methods Overview
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==================
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Currently supports the following plugins:
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* Sarno Any Spectrum
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* Hernandez Any Spectrum
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* Sarno 49 kVp W Spectra
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* Sechopoulus 49 kvP W Spectra
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Detailed descriptions on individual methods are provided in section :ref:`Methods Overview`.
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Installation
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==================
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**Clone PyBDC repository**
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git clone https://github.com/harshamarupudi56/PyBDC.git
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**Run the following commands to install required dependencies**
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apt-get -y install python3.11-tk
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apt-get -y install pip
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cd PyBDC
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pip install -r requirements.txt
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**The required dependencies located in requirements.txt**
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customtkinter==5.2.2
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matplotlib==3.8.0
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numpy==1.26.0
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pandas==1.3.4
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**Run PyBDC**
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python3 PyBDC.py
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**PyBDC Team:**
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Harsha Marupudi, Jospeh Manus, Bahaa Ghammraoui
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**Citations:**
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Sarno, A., Mettivier, G., Di Lillo, F., & Russo, P. (2017). A Monte Carlo study of monoenergetic and polyenergetic normalized glandular dose (DgN) coefficients in mammography. Physics in medicine and biology, 62(1), 306β325. https://doi.org/10.1088/1361-6560/62/1/306
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Hernandez, A. M., Becker, A. E., & Boone, J. M. (2019). Updated breast CT dose coefficients (DgNCT ) using patient-derived breast shapes and heterogeneous fibroglandular distributions. Medical physics, 46(3), 1455β1466. https://doi.org/10.1002/mp.13391
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Sechopoulos, I., Feng, S. S., & D'Orsi, C. J. (2010). Dosimetric characterization of a dedicated breast computed tomography clinical prototype. Medical physics, 37(8), 4110β4120. https://doi.org/10.1118/1.3457331
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