Evidence map›Paper›PMID 31973153›Full record

ArticleSensors (Basel, Switzerland)2020

3D Hermite Transform Optical Flow Estimation inLeft Ventricle CT Sequences.

Carlos Mira, Ernesto Moya-Albor, Boris Escalante-Ramirez, Jimena Olveres, Jorge Brieva, Enrique Vallejo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Carlos MiraFacultad de Ingeniería, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.ORCID 0000-0002-0527-4209
Ernesto Moya-AlborFacultad de Ingeniería, Universidad Panamericana, Augusto Rodin 498, Ciudad de Mexico 03920, Mexico.ORCID 0000-0002-9637-786X
Boris Escalante-RamirezFacultad de Ingeniería, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.ORCID 0000-0003-4936-8714
Jimena OlveresFacultad de Ingeniería, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
Jorge BrievaFacultad de Ingeniería, Universidad Panamericana, Augusto Rodin 498, Ciudad de Mexico 03920, Mexico.
Enrique VallejoCentro Médico ABC, Ciudad de México 01120, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart diseases are the most important causes of death in the world and over the years, thestudy of cardiac movement has been carried out mainly in two dimensions, however, it is important toconsider that the deformations due to the movement of the heart occur in a three-dimensional space.The 3D + t analysis allows to describe most of the motions of the heart, for example, the twistingmotion that takes place on every beat cycle that allows us identifying abnormalities of the heartwalls. Therefore, it is necessary to develop algorithms that help specialists understand the cardiacmovement. In this work, we developed a new approach to determine the cardiac movement inthree dimensions using a differential optical flow approach in which we use the steered Hermitetransform (SHT) which allows us to decompose cardiac volumes taking advantage of it as a model ofthe human vision system (HVS). Our proposal was tested in complete cardiac computed tomography(CT) volumes ( 3D + t), as well as its respective left ventricular segmentation. The robustness tonoise was tested with good results. The evaluation of the results was carried out through errors inforwarding reconstruction, from the volume at time t to time t + 1 using the optical flow obtained(interpolation errors). The parameters were tuned extensively. In the case of the 2D algorithm, theinterpolation errors and normalized interpolation errors are very close and below the values reportedin ground truth flows. In the case of the 3D algorithm, the results were compared with another similarmethod in 3D and the interpolation errors remained below 0.1. These results of interpolation errorsfor complete cardiac volumes and the left ventricle are shown graphically for clarity. Finally, a seriesof graphs are observed where the characteristic of contraction and dilation of the left ventricle isevident through the representation of the 3D optical flow.

Indexed as

algorithmsbio-inspired computingcardiac CT imagingdifferential methodmotion estimationoptical flowsteered hermite transform

Identifiers

PMID31973153
PMCPMC7038175

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