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In the United States, heart disease is the leading cause of death for both men and women, accounting for 610,000 deaths each year [1]. Physicians use Magnetic Resonance Imaging (MRI) scans to take images of the heart in order to…

Computer Vision and Pattern Recognition · Computer Science 2018-11-22 Ehab Abdelmaguid , Jolene Huang , Sanjay Kenchareddy , Disha Singla , Laura Wilke , Mai H. Nguyen , Ilkay Altintas

Postoperative complications pose a significant challenge in the healthcare industry, resulting in elevated healthcare expenses and prolonged hospital stays, and in rare instances, patient mortality. To improve patient outcomes and reduce…

Machine Learning · Computer Science 2023-06-07 Reza Shirkavand , Fei Zhang , Heng Huang

The acute respiratory distress syndrome (ARDS) is characterized by the acute development of diffuse alveolar damage (DAD) resulting in increased vascular permeability and decreased alveolar gas exchange. Mechanical ventilation is a…

Quantitative Methods · Quantitative Biology 2020-10-27 Deepak. K. Agrawal , Bradford J. Smith , Peter D. Sottile , David J. Albers

In the field of cardio-thoracic surgery, valve function is monitored over time after surgery. The motivation for our research comes from a study which includes patients who received a human tissue valve in the aortic position. These…

Purpose: This study aims to investigate the use of dynamic MRI to assess abdominal wall biomechanics before and after hernia surgery, considering that such evaluations can enhance our understanding of physiopathology and contribute to…

Medical Physics · Physics 2026-02-17 Victoria Joppin , David Bendahan , Ahmed Ali El Ahmadi , Catherine Masson , Thierry Bege

Isolated post-capillary pulmonary hypertension (Ipc-PH) occurs due to left heart failure, which contributes to 1 out of every 9 deaths in the United States. In some patients, through unknown mechanisms, Ipc-PH transitions to combined…

Tissues and Organs · Quantitative Biology 2021-03-11 Michelle A. Bartolo , M. Umar Qureshi , Mitchel J. Colebank , Naomi C. Chesler , Mette S. Olufsen

Deep neural networks have shown great achievements in solving complex problems. However, there are fundamental problems that limit their real world applications. Lack of measurable criteria for estimating uncertainty in the network outputs…

Computer Vision and Pattern Recognition · Computer Science 2018-03-02 Alireza Norouzi , Ali Emami , S. M. Reza Soroushmehr , Nader Karimi , Shadrokh Samavi , Kayvan Najarian

Medical image segmentation is one of the important tasks of computer-aided diagnosis in medical image analysis. Since most medical images have the characteristics of blurred boundaries and uneven intensity distribution, through existing…

Computer Vision and Pattern Recognition · Computer Science 2021-06-09 Sixing Yin , Yameng Han , Shufang Li

Abstract Background: Pulmonary function tests (PFTs) and computed tomography (CT) imaging are vital in diagnosing, managing, and monitoring lung diseases. A common issue in practice is the lack of access to recorded pulmonary functions…

Image and Video Processing · Electrical Eng. & Systems 2024-08-13 Kaiwen Geng , Zhiyi Shi , Xiaoyan Zhao , Alaa Ali , Jing Wang , Joseph Leader , Jiantao Pu

Objective: to develop quantitative methods for the clinical interpretation of the ballistocardiogram (BCG). Methods: a closed-loop mathematical model of the cardiovascular system is proposed to theoretically simulate the mechanisms…

Accurate biventricular segmentation of cardiac magnetic resonance (CMR) cine images is essential for the clinical evaluation of heart function. However, compared to left ventricle (LV), right ventricle (RV) segmentation is still more…

Image and Video Processing · Electrical Eng. & Systems 2024-10-18 Yidong Zhao , Yi Zhang , Orlando Simonetti , Yuchi Han , Qian Tao

Lung cancer is a major cause of cancer-related deaths, and early diagnosis and treatment are crucial for improving patients' survival outcomes. In this paper, we propose to employ convolutional neural networks to model the non-linear…

Image and Video Processing · Electrical Eng. & Systems 2024-08-20 Xiawei Wang , James Sharpnack , Thomas C. M. Lee

Modeling of respiratory motion is important for a more accurate understanding and accounting of its effect on dose to cancers in the thorax and abdomen by radiotherapy. We have developed a model of respiration-induced organ motion in the…

Left ventricular (LV) volumes estimation is a critical procedure for cardiac disease diagnosis. The objective of this paper is to address direct LV volumes prediction task. Methods: In this paper, we propose a direct volumes prediction…

Computer Vision and Pattern Recognition · Computer Science 2018-04-10 Gongning Luo , Suyu Dong , Kuanquan Wang , Wangmeng Zuo , Shaodong Cao , Henggui Zhang

This study combines a one-dimensional (1D) model with micro-CT imaging and hemodynamic data to quantify uncertainty of flow and pressure predictions in the pulmonary arteries in a control and hypoxia induced hypertensive mouse. We use local…

Fluid Dynamics · Physics 2019-10-02 Mitchel J. Colebank , M. Umar Qureshi , Mette S. Olufsen

We propose an integrated electromechanical model of the human heart, with focus on the left ventricle, wherein biophysically detailed models describe the different physical phenomena concurring to the cardiac function. We model the…

Frequently during its lifetime a human organism is subjected to the acoustical and similar to them vibrating impacts. Under the certain conditions such influence may cause physiological changes in the organs functioning. Thus the study of…

Biological Physics · Physics 2007-12-27 A. S. Kholodov , S. S. Simakov , A. A. Nadolsky , A. N. Shushlebin

As a team studying the predictors of complications after lung surgery, we have encountered high missingness of data on one-lung ventilation (OLV) start and end times due to high clinical workload and cognitive overload during surgery. Such…

Signal Processing · Electrical Eng. & Systems 2023-02-27 Zhihua Li , Alexander Nagrebetsky , Sylvia Ranjeva , Nan Bi , Dianbo Liu , Marcos F. Vidal Melo , Timothy Houle , Lijun Yin , Hao Deng

This paper presents a mathematical model of blood volume kinetics and renal function in response to burn injury and resuscitation, which is applicable to the development and non-clinical testing of burn resuscitation protocols and…

Tissues and Organs · Quantitative Biology 2021-10-25 Ghazal ArabiDarrehDor , Ali Tivay , Ramin Bighamian , Chris Meador , George C. Kramer , Jin-Oh Hahn , Jose Salinas

Non-invasive ventilation is increasingly used for respiratory support in preterm infants, and is associated with a lower risk of chronic lung disease. However, this mode is often not successful in the extremely preterm infant in part due to…

Tissues and Organs · Quantitative Biology 2018-07-04 Laura Ellwein Fix , Joseph Khoury , Russell Moores , Lauren Linkous , Matthew Brandes , Henry J. Rozycki