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Jonas Lantz

Associate Professor, Docent

Simulation of Time-Resolved, Three-Dimensional Cardiac Blood Flow from Computed Tomography (4D Flow CT)

Advanced computed tomography (CT) creates amazing visualization of the beating heart. However, the complex interactions of blood flow are not fully reflected by these images. This project aims to extract blood flow data from CT images of the heart using image-based simulations. The goal is earlier and more accurate detection and improved management of cardiac diseases.

Advanced computed tomography (CT) allows for amazing visualization of the human body including the beating heart. However, the complex interactions of blood flow, which is crucial in the diagnosis and treatment planning of many diseases, are not fully reflected by these images. Magnetic resonance imaging (MRI) and ultrasound are able to measure functional data like blood flow, but at a low resolution. Furthermore, these techniques are not able to predict the changes in blood flow after surgical treatment.

This project aims to extract blood flow data from CT images of the heart using image-based simulations. The goal is earlier and more accurate detection as well as improved management of cardiac diseases.

Publications

Cover of publication 'CT image heart'
Jonas Lantz, Vikas Gupta, Lilian Henriksson, Matts Karlsson, Anders Persson, Carljohan Carlhäll, Tino Ebbers (2018)

Radiology , Vol.289 , s.51-58

Cover of publication 'CT image heart'
Jonas Lantz, Lilian Henriksson, Anders Persson, Matts Karlsson, Tino Ebbers (2016)

Journal of Biomechanical Engineering , Vol.138

2024

Linus Ohlsson, Mårten Sandstedt, Joanna-Maria Papageorgiou, Anders Svensson, Ann F. Bolger, Éva Tamás, Hans Granfeldt, Tino Ebbers, Jonas Lantz (2024) European heart journal. Imaging methods and practice, Vol. 2, Article qyae082 (Article in journal)
Sophia Bäck, Jonas Lantz, Iulia Skoda, Lilian Henriksson, Anders Persson, Lars Karlsson, Carljohan Carlhäll, Tino Ebbers (2024) American Journal of Physiology. Heart and Circulatory Physiology, Vol. 326, p. H511-H521 (Article in journal)

2023

Sophia Bäck, Iulia Skoda, Jonas Lantz, Lilian Henriksson, Lars Karlsson, Anders Persson, Carljohan Carlhäll, Tino Ebbers (2023) Frontiers in Cardiovascular Medicine, Vol. 10, Article 1301605 (Article in journal)
Linus Ohlsson, André Da Luz Moreira, Sophia Bäck, Jonas Lantz, Carljohan Carlhäll, Anders Persson, Kristofer Hedman, Michelle Chew, Nils Dahlström, Tino Ebbers (2023) Clinical anatomy (New York, N.Y. Print), Vol. 36, p. 542-549 (Article in journal)
Sophia Bäck, Iulia Skoda, Jonas Lantz, Lilian Henriksson, Lars Karlsson, Anders Persson, Carljohan Carlhäll, Tino Ebbers (2023) Frontiers in Cardiovascular Medicine, Vol. 10, Article 1219021 (Article in journal)

Research

Research projects

Researchers are looking at a heart image

Simulation of Cardiac Blood Flow from CT

Advanced CT creates amazing visualization of the beating heart. However, the complex interactions of blood flow are not fully reflected by these images. This project aims to extract blood flow data from CT images using image-based simulations.
Project group in Wranne theater, CMIV.

Medical Digital Twin

Medical Digital Twin (MeDigiT) is a platform with the aim of facilitating the use of personalized digital models in healthcare. The platform is a meeting place for stakeholders in the subject of medical digital twins.
Assessment of Cardiovascular Blood Flow Using 4D Flow MRI

Assessment of Cardiovascular Blood Flow

Analysing the heart ads an extra dimension to the imaging since it is in constant motion. The project is working on optimizing the accuracy, measurement time, and robustness of 4D flow MRI for clinical use in the near future.

Networks

Two scientists are sitting infront of an MRI

Center for Medical Image Science and Visualization (CMIV)

CMIV conducts focused front-line research providing solutions to tomorrow’s clinical issues. The CMIV mission is to develop future methods and tools for image analysis and visualization for applications within health care and medical research.
Circulation and metabolism

Circulation and metabolism - CircM

CircM is a strategic research network for researchers at 91ÊÓƵ and Region Östergötland within the research field circulation and cardio-metabolic risk factors.
Two scientists are sitting infront of an MRI

Cardiovascular imaging and modeling - CIM

CIM:s tvärvetenskapliga forskningskluster syftar till att öka förståelsen för det kardiovaskulära systemet i hälsa och sjukdom genom utveckling och tillämpning av nya bildbaserade metoder för bedömning av funktion, hemodynamik och vävnadens karaktär.

Organisation

Illustration of the letters HMV

Department of Health, Medicine and Caring Sciences (HMV)

The research areas at HMV include experimental basic research to clinical, social and public health research. We conduct high-quality education in the sought-after care professions.
Close up of three doctors dressed in surgical clothes. One stands with his back to the camera.

Division of Diagnostics and Specialist Medicine (DISP)

The division consists of three units (internal medicine, cardiovascular and radiological sciences) and contains seven subject areas within which research and teaching are conducted.
Five people in a laboratory.

Faculty of Medicine and Health Sciences (MEDFAK)

The Faculty of Medicine and Health Sciences conducts research and education within medicine, healthcare and public health.

News

Hela forskargruppen: Vikas Gupta, Carl-Johan Carlhäll, Lilian Henriksson, Jonas Lantz, Matts Karlsson, Tino Ebbers och Anders Persson.

Project at LiU enters Hall of fame

A model to simulate heart function in individual patients has won first prize as the best academic contribution to a global competition in 2019. The model is the brainchild of Jonas Lantz and several other researchers at LiU.
transparent image, place holder

Blood flow in the heart revealed in a flash

Researchers at LiU have for the first time been able to use information from computer tomography images to simulate the heart function of an individual patient. Some of the modelling methods they use have been developed in the motor industry.

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