Literature DB >> 28649157

Use of patient specific 3D printed neurovascular phantoms to evaluate the clinical utility of a high resolution x-ray imager.

S V Setlur Nagesh1, M Russ1, C N Ionita1, D Bednarek1, S Rudin1.   

Abstract

Modern 3D printing technology can fabricate vascular phantoms based on an actual human patient with a high degree of precision facilitating a realistic simulation environment for an intervention. We present two experimental setups using 3D printed patient-specific neurovasculature to simulate different disease anatomies. To simulate the human neurovasculature in the Circle of Willis, patient-based phantoms with aneurysms were 3D printed using a Objet Eden 260V printer. Anthropomorphic head phantoms and a human skull combined with acrylic plates simulated human head bone anatomy and x-ray attenuation. For dynamic studies the 3D printed phantom was connected to a pulsatile flow loop with the anthropomorphic phantom underneath. By combining different 3D printed phantoms and the anthropomorphic phantoms, different patient pathologies can be simulated. For static studies a 3D printed neurovascular phantom was embedded inside a human skull and used as a positional reference for treatment devices such as stents. To simulate tissue attenuation acrylic layers were added. Different combinations can simulate different patient treatment procedures. The Complementary-Metal-Oxide-Semiconductor (CMOS) based High Resolution Fluoroscope (HRF) with 75μm pixels offers an advantage over the state-of-the-art 200 μm pixel Flat Panel Detector (FPD) due to higher Nyquist frequency and better DQE performance. Whether this advantage is clinically useful during an actual clinical neurovascular intervention can be addressed by qualitatively evaluating images from a cohort of various cases performed using both detectors. The above-mentioned method can offer a realistic substitute for an actual clinical procedure. Also a large cohort of cases can be generated and used for a HRF clinical utility determination study.

Entities:  

Year:  2017        PMID: 28649157      PMCID: PMC5478928          DOI: 10.1117/12.2254390

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


  5 in total

1.  Experimental and theoretical performance analysis for a CMOS-based high resolution image detector.

Authors:  Amit Jain; Daniel R Bednarek; Stephen Rudin
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-19

2.  Endovascular image-guided interventions (EIGIs).

Authors:  Stephen Rudin; Daniel R Bednarek; Kenneth R Hoffmann
Journal:  Med Phys       Date:  2008-01       Impact factor: 4.071

3.  Treatment Planning for Image-Guided Neuro-Vascular Interventions Using Patient-Specific 3D Printed Phantoms.

Authors:  M Russ; R O'Hara; S V Setlur Nagesh; M Mokin; C Jimenez; A Siddiqui; D Bednarek; S Rudin; C Ionita
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015-03-19

4.  Challenges and limitations of patient-specific vascular phantom fabrication using 3D Polyjet printing.

Authors:  Ciprian N Ionita; Maxim Mokin; Nicole Varble; Daniel R Bednarek; Jianping Xiang; Kenneth V Snyder; Adnan H Siddiqui; Elad I Levy; Hui Meng; Stephen Rudin
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-13

5.  Relative object detectability (ROD): a new metric for comparing x-ray image detector performance for a specified object of interest.

Authors:  V Singh; A Jain; D R Bednarek; S Rudin
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-19
  5 in total

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