SU-F-T-300: Impact of Electron Density Modeling of ArcCHECK Cylindricaldiode Array On 3DVH Patient Specific QA Software Tool Analysis

2016 ◽  
Vol 43 (6Part17) ◽  
pp. 3531-3532
Author(s):  
P Patwe ◽  
V Mhatre ◽  
P Dandekar
Keyword(s):  
Electron Density ◽  
Software Tool ◽  
Patient Specific ◽  
Patient Specific Qa ◽  
Density Modeling

PO-1399: Evaluation of SRS MapCHECK™ for SABR patient-specific QA

2020 ◽  
Vol 152 ◽  
pp. S743
Author(s):  
Y. Miao ◽  
G. Kidane ◽  
A. Ifthaker ◽  
L. Crees ◽  
E. Almond
Keyword(s):  
Patient Specific ◽  
Patient Specific Qa

scholarly journals A multi-institutional survey evaluating patient related QA – phase II

2017 ◽  
Vol 3 (2) ◽  
pp. 639-642
Author(s):  
Tobias Teichmann ◽  
Henning Salz ◽  
Michael Schwedas ◽  
Simon Howitz ◽  
Tilo Wiezorek
Keyword(s):  
Phase I ◽  
Phase Ii ◽  
Reference Conditions ◽  
Patient Specific ◽  
Beam Model ◽  
Medical Systems ◽  
Output Factor ◽  
Treatment Techniques ◽  
Patient Specific Qa ◽  
Output Factors

AbstractIn phase I of the survey a planning intercomparison of patient-related QA was performed at 12 institutions. The participating clinics created phantom based IMRT and VMAT plans which were measured utilizing the ArcCheck diode array. Mobius3D (M3D) was used in phase II. It acts as a secondary dose verification tool for patient-specific QA based on average linac beam data collected by Mobius Medical Systems. All Quasimodo linac plans will be analyzed for the continuation of the intercomparison. We aim to determine if Mobius3D is suited for use with diverse treatment techniques, if beam model customization is needed. Initially we computed first Mobius3D results by transferring all plans from phase I to our Mobius3D server. Because of some larger PTV mean dose differences we checked if output factor customization would be beneficial. We performed measurements and output factor correction to account for discrepancies in reference conditions. Compared to Mobius3D's preconfigured average beam data values, these corrected output factors differed by ±1.5% for field sizes between 7x7cm2 and 30x30cm2 and to −3.9% for 3x3cm2. Our method of correcting the output factors turns out good congruence to M3D's reference values for these medium field sizes.

scholarly journals Construction of a Drug Safety Assurance Information System Based on Clinical Genotyping

2012 ◽  
Vol 2012 ◽  
pp. 1-9
Author(s):  
John A. Springer ◽  
Nicholas V. Iannotti ◽  
Jon E. Sprague ◽  
Michael D. Kane
Keyword(s):  
Information System ◽  
Drug Safety ◽  
Genetic Information ◽  
Software Tool ◽  
Patient Specific ◽  
Domain Experts ◽  
Safety Assurance ◽  
Positive Assessment ◽  
Clinical Environments ◽  
Repeated Use

To capitalize on the vast potential of patient genetic information to aid in assuring drug safety, a substantial effort is needed in both the training of healthcare professionals and the operational enablement of clinical environments. Our research aims to satisfy these needs through the development of a drug safety assurance information system (GeneScription) based on clinical genotyping that utilizes patient-specific genetic information to predict and prevent adverse drug responses. In this paper, we present the motivations for this work, the algorithms at the heart of GeneScription, and a discussion of our system and its uses. We also describe our efforts to validate GeneScription through its evaluation by practicing pharmacists and pharmacy professors and its repeated use in training pharmacists. The positive assessment of the GeneScription software tool by these domain experts provides strong validation of the importance, accuracy, and effectiveness of GeneScription.

135 Patient specific QA system: Experimental stress analysis by introducing intentional errors

2018 ◽  
Vol 56 ◽  
pp. 147-148
Author(s):  
E. Martinucci ◽  
C. Capomolla ◽  
F. Rosica ◽  
A. Zagari ◽  
S. Quarta ◽  
...  
Keyword(s):  
Stress Analysis ◽  
Patient Specific ◽  
Experimental Stress ◽  
Experimental Stress Analysis ◽  
Patient Specific Qa

scholarly journals Development of a tool-kit for the detection of healthy and injured cardiac tissue based on MR imaging

2017 ◽  
Vol 3 (2) ◽  
pp. 195-198
Author(s):  
Philip Westphal ◽  
Sebastian Hilbert ◽  
Michael Unger ◽  
Claire Chalopin
Keyword(s):  
Contrast Agent ◽  
Cardiac Tissue ◽  
Software Tool ◽  
Ease Of Use ◽  
Free Software ◽  
Patient Specific ◽  
Initial Contour ◽  
Data Sets ◽  
Heart Model ◽  
Data Set

AbstractPlanning of interventions to treat cardiac arrhythmia requires a 3D patient specific model of the heart. Currently available commercial or free software dedicated to this task have important limitations for routinely use. Automatic algorithms are not robust enough while manual methods are time-consuming. Therefore, the project attempts to develop an optimal software tool. The heart model is generated from preoperative MR data-sets acquired with contrast agent and allows visualisation of damaged cardiac tissue. A requirement in the development of the software tool was the use of semi-automatic functions to be more robust. Once the patient image dataset has been loaded, the user selects a region of interest. Thresholding functions allow selecting the areas of high intensities which correspond to anatomical structures filled with contrast agent, namely cardiac cavities and blood vessels. Thereafter, the target-structure, for example the left ventricle, is coarsely selected by interactively outlining the gross shape. An active contour function adjusts automatically the initial contour to the image content. The result can still be manually improved using fast interaction tools. Finally, possible scar tissue located in the cavity muscle is automatically detected and visualized on the 3D heart model. The model is exported in format which is compatible with interventional devices at hospital. The evaluation of the software tool included two steps. Firstly, a comparison with two free software tools was performed on two image data sets of variable quality. Secondly, six scientists and physicians tested our tool and filled out a questionnaire. The performance of our software tool was visually judged more satisfactory than the free software, especially on the data set of lower quality. Professionals evaluated positively our functionalities regarding time taken, ease of use and quality of results. Improvements would consist in performing the planning based on different MR modalities.

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