numerical simulations ; non-invasive blood pressure; electrical impedance tomography (EIT); continuous monitoring; physiological sensors; medical image segmentation
Proença Martin, Braun Fabian, Solà Josep, Adler Andy, Lemay Mathieu, Thiran Jean-Philippe, Rimoldi Stefano F (2016), Non-invasive monitoring of pulmonary artery pressure from timing information by EIT: experimental evaluation during induced hypoxia, in Physiological Measurement
, 37(6), 713-726.
Proença Martin, Braun Fabian, Solà Josep, Thiran Jean-Philippe, Lemay Mathieu (2016), Noninvasive pulmonary artery pressure monitoring by EIT: a model-based feasibility study, in Proc. of the 2017 SSC and SSCC Joint Conference
, SSC & SSCC, Baden, Switzerland.
Braun Fabian, Proença Martin, Rapin Michael, Alba Xenia, Lekadir Karim, Lemay Mathieu, Solà Josep, Frangi Alejandro F, Thiran Jean-Philippe (2015), 4D Heart Model Helps Unveiling Contributors to Cardiac EIT Signal, in Proc. of the 2015 EIT Conference
, 2015 EIT Conference, Neuchâtel, Switzerland.
Proença M, Braun F, Rapin M, Solà J, Lemay M, Thiran J-Ph (2015), Feasibility of EIT-based pulmonary arterial pressure monitoring, in Proc. of the 2015 EIT Conference
, 2015 EIT Conference, Neuchâtel, Switzerland.
Proença Martin, Braun Fabian, Rapin Michael, Solà Josep, Adler Andy, Grychtol Bartłomiej, Bohm Stephan H, Lemay Mathieu, Thiran Jean-Philippe (2015), Influence of heart motion on cardiac output estimation by means of electrical impedance tomography: a case study, in Physiological Measurement
, 36(6), 1075-1091.
Proença Martin, Braun Fabian, Solà Josep, Thiran Jean-Philippe, Lemay Mathieu, Noninvasive pulmonary artery pressure monitoring by EIT: a model-based feasibility study, in Medical & Biological Engineering & Computing
Arterial blood pressure (BP) acts as a major risk factor for numerous cardiovascular, cerebrovascular, renal and neurological diseases. While in the normotensive population one out of two deaths is of cardiovascular nature, among hypertensive patients it reaches a two out of three ratio. Systemic hypertension is thus strongly correlated with morbidity and mortality and afflicts more than two billion individuals nowadays at a worldwide scale. However, to this day the accurate diagnosis of a systemic hypertensive condition remains limited by the obtrusive and intermittent aspects of its gold standard measurement modality. The clinical demand for a technology providing a non-occlusive, ambulatory-compliant, continuous and unsupervised means of monitoring systemic BP has not been met yet.With lesser prevalence and mortality than its left heart counterpart, pulmonary hypertension is characterized by its difficult early diagnosis. With symptoms severely lacking of specificity and strongly invasive or limiting measurement modalities, pulmonary hypertension is usually diagnosed at a late stage, when right heart failure has already begun. Providing the medical community with a beat-by-beat non-invasive technique that could detect early signs of pulmonary hypertension is a challenge that remains to be overcome. Electrical impedance tomography (EIT) has shown promising results in that matter. Allowing the visualization of cardiorespiratory phenomena such as ventilation and pulmonary perfusion, this technology has lead recent works to show that it could be exploited to assess central BP in a fully non-occlusive, ambulatory-compliant, continuous and unsupervised way. Because of its non-invasive, non-ionizing and low-cost nature, EIT provides an interesting modality for portable BP monitors to be investigated. However, numerous research questions regarding the influence of cardiac motion in EIT signals need to be addressed first. The goals of this research are thus multiple: in a first phase, it aims at identifying and quantifying - through numerical simulation - the various factors affecting EIT impedance changes. To that end, methods and tools allowing the automated generation of subject-adapted 3D dynamic bio-impedance models need to be developed. In a second phase, enhanced EIT images - where cardiac motion has minimal influence - will be reconstructed. Finally, these model-improved EIT images will be validated through the estimation of systemic BP and pulmonary artery pressure in humans and animals.The precise research objectives of the herein proposed research are thus the following:1.Investigate and implement methods for the automated segmentation of 4D MR images of the thorax.2.Use these segmentations for the creation of dynamic 3D bio-impedance models.3.Exploit said models to study those factors affecting the EIT cardiac signals through numerical simulation.4.Create a novel EIT image reconstruction strategy where the influence of cardiac motion is minimized.5.Validate our model-improved EIT images through the estimation of hemodynamic parameters such as systemic BP and pulmonary artery pressure.This research aims at meeting the clinical demand for non-obtrusive and continuous means of monitoring systemic and pulmonary artery pressure. The research is largely interdisciplinary going from MR image processing, EIT reconstruction and simulation to biomedical signal analysis. The expected outcome is a leap forward in the understanding of cardiac EIT signal genesis, and an opening wedge towards new techniques for the portable and non-obtrusive measurement of BP.