An anthropomorphic beating heart phantom for cardiac X‐ray CT imaging evaluation

Boltz, Thomas; Pavlicek, William; Paden, Robert G.; Renno, Markus S.; Jensen, Angela; Akay, Metin

doi:10.1120/jacmp.v11i1.3129

Cited by 15 publications

(8 citation statements)

References 10 publications

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“…A second one is to image a physical phantom with known shape and controlled motion [8], [9]. However, those phantoms are costly to design and manufacture and often lead to images with a limited realism compared to clinical images.…”

mentioning

confidence: 99%

Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images

Prakosa¹,

Sermesant²,

Delingette³

et al. 2013

IEEE Trans. Med. Imaging

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Abstract-We propose a new approach for the generation of synthetic but visually realistic time series of cardiac images based on an electromechanical model of the heart and real clinical 4D image sequences. This is achieved by combining three steps. The first step is the simulation of a cardiac motion using an electromechanical model of the heart and the segmentation of the end diastolic image of a cardiac sequence. We use biophysical parameters related to the desired condition of the simulated subject. The second step extracts the cardiac motion from the real sequence using non-rigid image registration. Finally, a synthetic time series of cardiac images corresponding to the simulated motion is generated in the third step by combining the motion estimated by image registration and the simulated one. With this approach, image processing algorithms can be evaluated as we know the ground-truth motion underlying the image sequence. Moreover, databases of visually realistic images of controls and patients can be generated for which the underlying cardiac motion and some biophysical parameters are known.Such databases can open new avenues for machine learning approaches.

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mentioning

confidence: 99%

Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images

Prakosa¹,

Sermesant²,

Delingette³

et al. 2013

IEEE Trans. Med. Imaging

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“…There are some other publications regarding the use of phantom models in cardiac imaging. Boltz et al [ 22 ] constructed an anthropomorphic beating heart phantom to analyse cardiac CCTA protocols. The phantom was anatomically and functionally designed to be very close to a real-world situation.…”

Section: Discussionmentioning

confidence: 99%

Absolute iodine concentration for dynamic perfusion imaging of the myocardium: improved detection of poststenotic ischaemic in a 3D-printed dynamic heart phantom

et al. 2022

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Background To investigate the detection capabilities of myocardial perfusion defects of dual-energy computed tomography (CT) technology using time-resolved iodine-based maps for functional assessment of coronary stenosis in a dynamic heart phantom. Methods An anatomical heart model was designed using a three-dimensional (3D) printing technique. The lumen of the right coronary artery was reduced to 25% of the original areal cross-section. Scans were acquired with a 64-slice dual-layer CT equipment using a perfusion protocol with 36 time points. For distinguishing haemodynamically affected from unaffected myocardial regions, conventional and spectral mean transit time (MTT) parameter maps were compared. A dose reduction technique was simulated by using a subset of time points of the time attenuation curves (TACs). Results The tracer kinetic modeling showed decreased errors on fit parameters from conventional to spectral TACs (42% reduction for A and 40% for λ). Three characteristic regions (highly, moderately, and not affected by the simulated stenosis) can be distinguished in all spectral perfusion maps. The best distinction was observed on MTT maps. An area under the curve (AUC) value of 1.00 for the voxel-wise differentiation of haemodynamically affected tissue was achieved versus a 0.89 AUC for conventional MTT maps. By temporal under-sampling, a dose reduction of approximately 78% from 19 to 4.3 mSv was achieved with a 0.96 AUC. Conclusion Dual-energy CT can provide time-resolved iodine density data, which enables the calculation of absolute quantitative perfusion maps with decreased fitting errors, improving the accuracy for poststenotic myocardial ischaemic detection in a 3D-printed heart phantom.

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“…σθ is the circumferential stress. Reprinted with permission (Emmott et al, 2016) (Boltz et al, 2010), b) a non-anatomically correct left ventricle model made of silicone gum for cardiac positron emission tomography and single photon emission computed tomography (Presotto et al, 2012), c) a ventricle made of balloons for positron emission tomography (Sipila et al, 2007) and d) a nonanatomically correct heart model made of polyvinyl alcohol cryogel for ultrasound and cardiac magnetic resonance (Tavakoli et al, 2012) 8. a) A hypoplastic aorta and a right ventricle printed in Tangoplus Fullcure® (Biglino et al, 2013) and b a) stenotic cross-section of a coronary polyvinyl alcohol cryogel phantom (image and geometry).Reprinted with permission (Pazos et al, 2010) 18.…”

Section: Contribution Of Authorsmentioning

confidence: 99%

“…Cross These phantoms are an asset for evaluating medical imaging technologies but do not allow for physical manipulations. Boltz et al (2010) described an anatomically correct beating heart phantom composed of soft silicone chambers and coronary arteries, which allows for additive pathologies (aberrant beats, stents, plaques, etc.) (Figure 7).…”

Section: Ischemic Heart Diseasementioning

confidence: 99%

“…Figure 7. a) An anatomically correct heart silicone model for medical imaging technologies (Boltz et al, 2010), b) a nonanatomically correct left ventricle model made of silicone gum for cardiac positron emission tomography and single photon emission computed tomography (Presotto et al, 2012), c) a ventricle made of balloons for positron emission tomography (Sipila et al, 2007) and d) a non-anatomically correct heart model made of polyvinyl alcohol cryogel for ultrasound and cardiac magnetic resonance (Tavakoli et al, 2012).…”

Section: Ischemic Heart Diseasementioning

confidence: 99%

See 1 more Smart Citation

Patient Specific Surgical Simulation of the Ascending Thoracic Aorta

García¹,

Yang²,

Lachapelle³

et al. 2016

Canadian Journal of Cardiology

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An anthropomorphic beating heart phantom for cardiac X‐ray CT imaging evaluation

Cited by 15 publications

References 10 publications

Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images

Generation of Synthetic but Visually Realistic Time Series of Cardiac Images Combining a Biophysical Model and Clinical Images

Absolute iodine concentration for dynamic perfusion imaging of the myocardium: improved detection of poststenotic ischaemic in a 3D-printed dynamic heart phantom

Patient Specific Surgical Simulation of the Ascending Thoracic Aorta

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