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Capillary phantom design and validat...
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Wood, Rachel Pranitha.
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Capillary phantom design and validation for perfusion imaging software calibration.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Capillary phantom design and validation for perfusion imaging software calibration./
Author:
Wood, Rachel Pranitha.
Description:
61 p.
Notes:
Source: Masters Abstracts International, Volume: 54-06.
Contained By:
Masters Abstracts International54-06(E).
Subject:
Biomedical engineering. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1594792
ISBN:
9781321923124
Capillary phantom design and validation for perfusion imaging software calibration.
Wood, Rachel Pranitha.
Capillary phantom design and validation for perfusion imaging software calibration.
- 61 p.
Source: Masters Abstracts International, Volume: 54-06.
Thesis (M.S.)--State University of New York at Buffalo, 2015.
Perfusion imaging is the most applied modality for the assessment of acute stroke. Parameters such as Cerebral Blood Flow (CBF), Cerebral Blood volume (CBV) and Mean Transit Time (MTT) are used to distinguish the tissue infarct core and ischemic penumbra. Due to lack of standardization these parameters vary significantly between vendors and software even when provided with the same data set. There is a critical need to standardize the systems and make them more reliable. We have designed a uniform phantom to test and verify the perfusion systems. We implemented a flow loop with different flow rates (250, 300, 350 ml/min) and injected the same amount of contrast. The images of the phantom were acquired using a Digital Angiographic system and Computer Tomographic system. Since this phantom is uniform, projection images obtained using DSA is sufficient for initial validation. To validate the phantom we measured the contrast concentration at three regions of interest (arterial input, venous output, perfused area) and derived time density curves (TDC). Using the TDC's we calculated the maximum slope, area under the TDCs and flow. The maximum slope calculations were linearly increasing with increase in flow rate, the area under the curve decreases with increase in flow rate. There was 25% error between the calculated flow and measured flow. The derived TDCs were clinically relevant and the calculated flow, maximum slope and areas under the curve were sensitive to the measured flow. We have created a systematic way to calibrate existing perfusion systems and assess their reliability. We are presenting a novel phantom and successfully tested with an Angiographic imaging system. The phantom design is not limited to an angiographic system; it is compatible to be tested with Computer Tomographic and Magnetic Resonance Imaging systems. Therefore it could be a multimodality imaging perfusion evaluation tool.
ISBN: 9781321923124Subjects--Topical Terms:
535387
Biomedical engineering.
Capillary phantom design and validation for perfusion imaging software calibration.
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Perfusion imaging is the most applied modality for the assessment of acute stroke. Parameters such as Cerebral Blood Flow (CBF), Cerebral Blood volume (CBV) and Mean Transit Time (MTT) are used to distinguish the tissue infarct core and ischemic penumbra. Due to lack of standardization these parameters vary significantly between vendors and software even when provided with the same data set. There is a critical need to standardize the systems and make them more reliable. We have designed a uniform phantom to test and verify the perfusion systems. We implemented a flow loop with different flow rates (250, 300, 350 ml/min) and injected the same amount of contrast. The images of the phantom were acquired using a Digital Angiographic system and Computer Tomographic system. Since this phantom is uniform, projection images obtained using DSA is sufficient for initial validation. To validate the phantom we measured the contrast concentration at three regions of interest (arterial input, venous output, perfused area) and derived time density curves (TDC). Using the TDC's we calculated the maximum slope, area under the TDCs and flow. The maximum slope calculations were linearly increasing with increase in flow rate, the area under the curve decreases with increase in flow rate. There was 25% error between the calculated flow and measured flow. The derived TDCs were clinically relevant and the calculated flow, maximum slope and areas under the curve were sensitive to the measured flow. We have created a systematic way to calibrate existing perfusion systems and assess their reliability. We are presenting a novel phantom and successfully tested with an Angiographic imaging system. The phantom design is not limited to an angiographic system; it is compatible to be tested with Computer Tomographic and Magnetic Resonance Imaging systems. Therefore it could be a multimodality imaging perfusion evaluation tool.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1594792
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