#PEAR_Config 0.9 a:12:{s:7:"php_dir";s:67:"//pear/php";s:8:"data_dir";s:68:"//pear/data";s:7:"www_dir";s:67:"//pear/www";s:7:"cfg_dir";s:67:"//pear/cfg";s:7:"ext_dir";s:67:"//pear/ext";s:7:"doc_dir";s:68:"//pear/docs";s:8:"test_dir";s:69:"//pear/tests";s:9:"cache_dir";s:69:"//pear/cache";s:12:"download_dir";s:72:"//pear/download";s:8:"temp_dir";s:68:"//pear/temp";s:7:"bin_dir";s:63:"//pear";s:7:"man_dir";s:67:"//pear/man";}#PEAR_Config 0.9 a:12:{s:7:"php_dir";s:67:"//pear/php";s:8:"data_dir";s:68:"//pear/data";s:7:"www_dir";s:67:"//pear/www";s:7:"cfg_dir";s:67:"//pear/cfg";s:7:"ext_dir";s:67:"//pear/ext";s:7:"doc_dir";s:68:"//pear/docs";s:8:"test_dir";s:69:"//pear/tests";s:9:"cache_dir";s:69:"//pear/cache";s:12:"download_dir";s:72:"//pear/download";s:8:"temp_dir";s:68:"//pear/temp";s:7:"bin_dir";s:63:"//pear";s:7:"man_dir";s:67:"//pear/man";}{"id":168,"date":"2021-10-03T22:58:16","date_gmt":"2021-10-03T22:58:16","guid":{"rendered":"https:\/\/hawon.choonsiklee.com\/?page_id=168"},"modified":"2022-09-26T03:01:27","modified_gmt":"2022-09-26T03:01:27","slug":"fluoroscopy-patient-dose-calculation-modules","status":"publish","type":"page","link":"https:\/\/hawon.choonsiklee.com\/?page_id=168","title":{"rendered":"Fluoroscopy patient dose calculation modules"},"content":{"rendered":"\n

Hawon Lee1<\/sup>, Andreu Badal2<\/sup>
1<\/sup>Montgomery Blair High School, Silver Spring, MD
2<\/sup>Division of Imaging Diagnostics and Software Reliability, CDRH, FDA, Silver Spring, MD<\/h2>\n\n\n\n
\n
Research log<\/a><\/div>\n<\/div>\n\n\n\n

Background<\/h1>\n\n\n\n

Interventional fluoroscopy is an imaging modality that provides a real-time x-ray image of a patient\u2019s anatomy. The radiation dose delivered to patients and operators during interventional fluoroscopy procedures can be substantial, and cause radiation injuries. Dosimeter badges, the standard method used for dose estimation, measure radiation at discrete points, and the dose is only known after the procedure. With the increasing use of fluoroscopy, there is a need for new tools that can reduce the dose and minimize side effects. At CDRH\/OSEL\/DIDSR we are developing a Virtual Dosimeter<\/strong> system to estimate, computationally, the radiation delivered to operators and patients in real-time (Figure 1).<\/h2>\n\n\n\n

In the current project, I developed a Conductor Software<\/strong> tool that coordinates the execution of the 3 existing modules of the Virtual Dosimeter<\/strong> and created a new Display Module<\/strong>.<\/h2>\n\n\n\n
\n
\n
\"\"<\/figure>\n<\/div>\n\n\n\n
\n

Figure 1<\/h1>\n\n\n\n

A computational model of an operator standing next to a patient during an interventional fluoroscopy procedure.<\/h2>\n<\/div>\n<\/div>\n\n\n\n

Results: Conductor application<\/h1>\n\n\n\n

We developed a command-line application written in Python language within the Ubuntu Linux environment by using the Robot Operating System (ROS) library. We named the application, \u201cConductor Application\u201d because the application is \u201cconducting\u201d the communication between the four different modules to eventually estimate radiation dose to medical staff undergoing interventional fluoroscopy procedures. Figure 1 shows the workflow of the Virtual Dosimeter System where the Conductor application communicates messages among the four different modules. The process follows the four steps:<\/h2>\n\n\n\n