Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods

John Albinsson; Tomas Jansson; M. Cinthio

doi:10.1007/978-3-319-12967-9_4

Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods

John Albinsson, Tomas Jansson, M. Cinthio

Department of Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

Motion estimation in a series of consecutive images is used in a variety of areas, e.g. video compression and investigation of tissue characteristics and organ function in medical images. Several methods exist both for estimating motions on a pixel level, e.g. block-matching in which two blocks in consecutive images are compared by an evaluation metric, and on a sub-pixel level. In this paper, we have evaluated the tracking performance of all combinations between three evaluation metrics and eight sub-pixel estimation methods. The tracking performance of a sub-pixel method varies depending on the evaluation metric used. This indicates that a reported tracking performance for a sub-pixel estimation method can be significantly different when combined with another evaluation metric. Also there is a large variation in the time needed for the motion estimations depending primarily on the sub-pixel method used but also on the evaluation metric.

Original language	English
Title of host publication	16th Nordic-Baltic Conference on Biomedical Engineering
Publisher	Springer
Pages	13-16
Volume	48
DOIs	https://doi.org/10.1007/978-3-319-12967-9_4
Publication status	Published - 2015
Event	16th Nordic-Baltic Conference on Biomedical Engineering (NBC) / 10th MTD Joint Conference - Gothenburg, SWEDEN Duration: 2014 Oct 14 → 2014 Oct 16

Publication series

Name
Volume	48
ISSN (Print)	1680-0737

Conference

Conference	16th Nordic-Baltic Conference on Biomedical Engineering (NBC) / 10th MTD Joint Conference
Period	2014/10/14 → 2014/10/16

Subject classification (UKÄ)

Medical Engineering

Free keywords

Sub-pixel estimation
block-matching
motion estimation
ultrasound

Access to Document

10.1007/978-3-319-12967-9_4

1 Doctoral Thesis (compilation)

Advancements of 2D speckle tracking of arterial wall movements
Albinsson, J., 2017 Apr 12, First ed. Lund university: Department of Biomedical Engineering, Lund university. 144 p.
Research output: Thesis › Doctoral Thesis (compilation)

Open Access
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Cite this

@inproceedings{8ad2a17f665942c3b4729bbcffcac6f7,

title = "Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods",

abstract = "Motion estimation in a series of consecutive images is used in a variety of areas, e.g. video compression and investigation of tissue characteristics and organ function in medical images. Several methods exist both for estimating motions on a pixel level, e.g. block-matching in which two blocks in consecutive images are compared by an evaluation metric, and on a sub-pixel level. In this paper, we have evaluated the tracking performance of all combinations between three evaluation metrics and eight sub-pixel estimation methods. The tracking performance of a sub-pixel method varies depending on the evaluation metric used. This indicates that a reported tracking performance for a sub-pixel estimation method can be significantly different when combined with another evaluation metric. Also there is a large variation in the time needed for the motion estimations depending primarily on the sub-pixel method used but also on the evaluation metric.",

keywords = "Sub-pixel estimation, block-matching, motion estimation, ultrasound",

author = "John Albinsson and Tomas Jansson and M. Cinthio",

year = "2015",

doi = "10.1007/978-3-319-12967-9_4",

language = "English",

volume = "48",

publisher = "Springer",

pages = "13--16",

booktitle = "16th Nordic-Baltic Conference on Biomedical Engineering",

address = "Germany",

note = "16th Nordic-Baltic Conference on Biomedical Engineering (NBC) / 10th MTD Joint Conference ; Conference date: 14-10-2014 Through 16-10-2014",

}

Albinsson, J, Jansson, T & Cinthio, M 2015, Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods. in 16th Nordic-Baltic Conference on Biomedical Engineering. vol. 48, Springer, pp. 13-16, 16th Nordic-Baltic Conference on Biomedical Engineering (NBC) / 10th MTD Joint Conference, 2014/10/14. https://doi.org/10.1007/978-3-319-12967-9_4

TY - GEN

T1 - Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods

AU - Albinsson, John

AU - Jansson, Tomas

AU - Cinthio, M.

PY - 2015

Y1 - 2015

N2 - Motion estimation in a series of consecutive images is used in a variety of areas, e.g. video compression and investigation of tissue characteristics and organ function in medical images. Several methods exist both for estimating motions on a pixel level, e.g. block-matching in which two blocks in consecutive images are compared by an evaluation metric, and on a sub-pixel level. In this paper, we have evaluated the tracking performance of all combinations between three evaluation metrics and eight sub-pixel estimation methods. The tracking performance of a sub-pixel method varies depending on the evaluation metric used. This indicates that a reported tracking performance for a sub-pixel estimation method can be significantly different when combined with another evaluation metric. Also there is a large variation in the time needed for the motion estimations depending primarily on the sub-pixel method used but also on the evaluation metric.

AB - Motion estimation in a series of consecutive images is used in a variety of areas, e.g. video compression and investigation of tissue characteristics and organ function in medical images. Several methods exist both for estimating motions on a pixel level, e.g. block-matching in which two blocks in consecutive images are compared by an evaluation metric, and on a sub-pixel level. In this paper, we have evaluated the tracking performance of all combinations between three evaluation metrics and eight sub-pixel estimation methods. The tracking performance of a sub-pixel method varies depending on the evaluation metric used. This indicates that a reported tracking performance for a sub-pixel estimation method can be significantly different when combined with another evaluation metric. Also there is a large variation in the time needed for the motion estimations depending primarily on the sub-pixel method used but also on the evaluation metric.

KW - Sub-pixel estimation

KW - block-matching

KW - motion estimation

KW - ultrasound

U2 - 10.1007/978-3-319-12967-9_4

DO - 10.1007/978-3-319-12967-9_4

M3 - Paper in conference proceeding

VL - 48

SP - 13

EP - 16

BT - 16th Nordic-Baltic Conference on Biomedical Engineering

PB - Springer

T2 - 16th Nordic-Baltic Conference on Biomedical Engineering (NBC) / 10th MTD Joint Conference

Y2 - 14 October 2014 through 16 October 2014

ER -

Tracking Performance of Several Combinations of Common Evaluation Metrics and Sub-pixel Methods

Abstract

Publication series

Conference

Subject classification (UKÄ)

Free keywords

Access to Document

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Research output

Advancements of 2D speckle tracking of arterial wall movements

Cite this