Publication detail

Deep-learning based automatic determination of cardiac planes in survey MRI data

JURČA, J. HARABIŠ, V. JAKUBÍČEK, R. HOLEČEK, T. NEMČEKOVÁ, P. OUŘEDNÍČEK, P. CHMELÍK, J.

Original Title

Deep-learning based automatic determination of cardiac planes in survey MRI data

Type

conference paper

Language

English

Original Abstract

Inference of the radiological planes of the heart in MRI is a crucial step for valid data acquisition to examine the structure and function of the human heart in detail. In this paper, we present a deep learning model for automatic inference of the radiological plane of the heart from 3D survey sequences. The proposed neural network is based on the V-Net~\cite{vnet} architecture that has been developed to perform inference on the radiological positions of the hearts. The network is designed to take a 3D image as input and generate a regressed heatmap of probable plane positions as output. The results show that the proposed method is feasible for automatic geometry planning. It has the potential to increase the efficiency of medical imaging. The presented networks show that they can locate cardiac landmarks even from data with anisotropic voxels. It can improve the accuracy and speed of diagnosis, allowing for faster and more effective treatment.

Keywords

heart axis determination, regression, deep-learning, MRI

Authors

JURČA, J.; HARABIŠ, V.; JAKUBÍČEK, R.; HOLEČEK, T.; NEMČEKOVÁ, P.; OUŘEDNÍČEK, P.; CHMELÍK, J.

Released

4. 1. 2024

Publisher

Springer

Location

Cham

ISBN

978-3-031-49061-3

Book

MEDICON’23 and CMBEBIH’23

Edition

93

Edition number

1

ISBN

1680-0737

Periodical

IFMBE PROCEEDINGS

Year of study

93

State

Kingdom of Sweden

Pages from

285

Pages to

292

Pages count

8

URL

https://link.springer.com/chapter/10.1007/978-3-031-49062-0_31

BibTex

@inproceedings{BUT185645,
  author="Jan {Jurča} and Vratislav {Harabiš} and Roman {Jakubíček} and Tomáš {Holeček} and Petra {Nemčeková} and Petr {Ouředníček} and Jiří {Chmelík}",
  title="Deep-learning based automatic determination of cardiac planes in survey MRI data",
  booktitle="MEDICON’23 and CMBEBIH’23",
  year="2024",
  series="93",
  journal="IFMBE PROCEEDINGS",
  volume="93",
  number="1",
  pages="285--292",
  publisher="Springer",
  address="Cham",
  doi="10.1007/978-3-031-49062-0\{_}31",
  isbn="978-3-031-49061-3",
  issn="1680-0737",
  url="https://link.springer.com/chapter/10.1007/978-3-031-49062-0_31"
}