Literature DB >> 26633914

Initial testing of a 3D printed perfusion phantom using digital subtraction angiography.

Rachel P Wood1, Parag Khobragade1, Leslie Ying2, Kenneth Snyder3, David Wack4, Daniel R Bednarek3, Stephen Rudin5, Ciprian N Ionita5.   

Abstract

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. 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). We then 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.

Entities:  

Keywords:  Cerebral blood flow (CBF); Cerebral blood volume (CBV); Digital subtraction Angiography (DSA); Fick Principle; Mean transit time (MTT); Perfusion Phantom; Perfusion systems; Time Density Curves (TDC)

Year:  2015        PMID: 26633914      PMCID: PMC4664206          DOI: 10.1117/12.2081471

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  11 in total

Review 1.  Theoretic basis and technical implementations of CT perfusion in acute ischemic stroke, part 1: Theoretic basis.

Authors:  A A Konstas; G V Goldmakher; T-Y Lee; M H Lev
Journal:  AJNR Am J Neuroradiol       Date:  2009-03-06       Impact factor: 3.825

2.  Heart disease and stroke statistics--2014 update: a report from the American Heart Association.

Authors:  Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; Michael J Blaha; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Rachel H Mackey; David J Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Robert W Neumar; Graham Nichol; Dilip K Pandey; Nina P Paynter; Matthew J Reeves; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2013-12-18       Impact factor: 29.690

Review 3.  CT perfusion in acute stroke.

Authors:  Sanjay K Shetty; Michael H Lev
Journal:  Neuroimaging Clin N Am       Date:  2005-08       Impact factor: 2.264

Review 4.  Ischemic penumbra: evidence from functional imaging in man.

Authors:  W D Heiss
Journal:  J Cereb Blood Flow Metab       Date:  2000-09       Impact factor: 6.200

5.  Development of a dynamic flow imaging phantom for dynamic contrast-enhanced CT.

Authors:  B Driscoll; H Keller; C Coolens
Journal:  Med Phys       Date:  2011-08       Impact factor: 4.071

Review 6.  Ischemic cell death in brain neurons.

Authors:  P Lipton
Journal:  Physiol Rev       Date:  1999-10       Impact factor: 37.312

7.  Cerebral blood flow determination by rapid-sequence computed tomography: theoretical analysis.

Authors:  L Axel
Journal:  Radiology       Date:  1980-12       Impact factor: 11.105

8.  Time is brain--quantified.

Authors:  Jeffrey L Saver
Journal:  Stroke       Date:  2005-12-08       Impact factor: 7.914

Review 9.  Cerebral perfusion and stroke.

Authors:  H S Markus
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-03       Impact factor: 10.154

10.  Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details.

Authors:  Andreas Fieselmann; Markus Kowarschik; Arundhuti Ganguly; Joachim Hornegger; Rebecca Fahrig
Journal:  Int J Biomed Imaging       Date:  2011-08-28
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  8 in total

1.  Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation.

Authors:  Lauren M Shepard; Kelsey N Sommer; Erin Angel; Vijay Iyer; Michael F Wilson; Frank J Rybicki; Dimitrios Mitsouras; Sabee Molloi; Ciprian N Ionita
Journal:  J Med Imaging (Bellingham)       Date:  2019-03-12

2.  Patient-Specific 3-Dimensional-Bioprinted Model for In Vitro Analysis and Treatment Planning of Pulmonary Artery Atresia in Tetralogy of Fallot and Major Aortopulmonary Collateral Arteries.

Authors:  Martin L Tomov; Alexander Cetnar; Katherine Do; Holly Bauser-Heaton; Vahid Serpooshan
Journal:  J Am Heart Assoc       Date:  2019-12-10       Impact factor: 5.501

Review 3.  Applications of 3D printing in cardiovascular diseases.

Authors:  Andreas A Giannopoulos; Dimitris Mitsouras; Shi-Joon Yoo; Peter P Liu; Yiannis S Chatzizisis; Frank J Rybicki
Journal:  Nat Rev Cardiol       Date:  2016-10-27       Impact factor: 32.419

4.  Sensitivity evaluation of DSA-based parametric imaging using Doppler ultrasound in neurovascular phantoms.

Authors:  A Balasubramoniam; D R Bednarek; S Rudin; C N Ionita
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-29

Review 5.  The Various Applications of 3D Printing in Cardiovascular Diseases.

Authors:  Abdallah El Sabbagh; Mackram F Eleid; Mohammed Al-Hijji; Nandan S Anavekar; David R Holmes; Vuyisile T Nkomo; Gustavo S Oderich; Stephen D Cassivi; Sameh M Said; Charanjit S Rihal; Jane M Matsumoto; Thomas A Foley
Journal:  Curr Cardiol Rep       Date:  2018-05-10       Impact factor: 2.931

6.  Patient-based 4D digital breast phantom for perfusion contrast-enhanced breast CT imaging.

Authors:  Marco Caballo; Ritse Mann; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2018-09-19       Impact factor: 4.071

Review 7.  3D printing approaches for cardiac tissue engineering and role of immune modulation in tissue regeneration.

Authors:  Muhammad Qasim; Farhan Haq; Min-Hee Kang; Jin-Hoi Kim
Journal:  Int J Nanomedicine       Date:  2019-02-20

8.  Quantitative imaging: systematic review of perfusion/flow phantoms.

Authors:  Marije E Kamphuis; Marcel J W Greuter; Riemer H J A Slart; Cornelis H Slump
Journal:  Eur Radiol Exp       Date:  2020-03-04
  8 in total

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