Automatic distance measurement of abdominal aorta for ultrasonography-based visceral fat estimation

Junchen Wang; You Zhou; Norihiro Koizumi; Naoto Kubota; Takeharu Asano; Kuzuhito Yuhashi; Tsuyoshi Mitake; Kazunori Itani; Toshiaki Takahashi; Shigemi Takeishi; Shiro Sasaki; Takashi Kadowaki; Ichiro Sakuma; Hongen Liao

doi:10.1109/EMBC.2013.6611040

Automatic distance measurement of abdominal aorta for ultrasonography-based visceral fat estimation

Junchen Wang
, You Zhou
, Norihiro Koizumi
, Naoto Kubota
, Takeharu Asano
, Kuzuhito Yuhashi
, Tsuyoshi Mitake
, Kazunori Itani
, Toshiaki Takahashi
, Shigemi Takeishi
, Shiro Sasaki
, Takashi Kadowaki
, Ichiro Sakuma
, Hongen Liao

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

1 Scopus citations

Abstract

Ultrasonography-based visceral fat estimation is a promising method to assess central obesity, which is associated with metabolic syndrome. The key to this method is to measure three types of distance in the ultrasound image. The most important one is the distance from the skin surface to the posterior wall of the abdominal aorta. We present a novel automatic measurement method to calculate this distance using 1D ultrasound signal processing. It is different from the conventional 2D image processing based methods which have high failure rate when the target is blurred or partially imaged. The proposed method identifies the waveforms of the aorta along a group of ultrasound scan lines and a rating mechanism is introduced to choose the best waveform for distance calculation. The robustness and accuracy of the method were evaluated by experiments based on clinical data.

Original language	English
Title of host publication	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Pages	6486-6489
Number of pages	4
DOIs	https://doi.org/10.1109/EMBC.2013.6611040
State	Published - 2013
Externally published	Yes
Event	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan Duration: 3 Jul 2013 → 7 Jul 2013

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Country/Territory	Japan
City	Osaka
Period	3/07/13 → 7/07/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/EMBC.2013.6611040

Cite this

Wang, J., Zhou, Y., Koizumi, N., Kubota, N., Asano, T., Yuhashi, K., Mitake, T., Itani, K., Takahashi, T., Takeishi, S., Sasaki, S., Kadowaki, T., Sakuma, I., & Liao, H. (2013). Automatic distance measurement of abdominal aorta for ultrasonography-based visceral fat estimation. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 (pp. 6486-6489). Article 6611040 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2013.6611040

Wang, Junchen ; Zhou, You ; Koizumi, Norihiro et al. / Automatic distance measurement of abdominal aorta for ultrasonography-based visceral fat estimation. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. 2013. pp. 6486-6489 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{54982d83ebea478390763f0ca32132f3,

title = "Automatic distance measurement of abdominal aorta for ultrasonography-based visceral fat estimation",

abstract = "Ultrasonography-based visceral fat estimation is a promising method to assess central obesity, which is associated with metabolic syndrome. The key to this method is to measure three types of distance in the ultrasound image. The most important one is the distance from the skin surface to the posterior wall of the abdominal aorta. We present a novel automatic measurement method to calculate this distance using 1D ultrasound signal processing. It is different from the conventional 2D image processing based methods which have high failure rate when the target is blurred or partially imaged. The proposed method identifies the waveforms of the aorta along a group of ultrasound scan lines and a rating mechanism is introduced to choose the best waveform for distance calculation. The robustness and accuracy of the method were evaluated by experiments based on clinical data.",

author = "Junchen Wang and You Zhou and Norihiro Koizumi and Naoto Kubota and Takeharu Asano and Kuzuhito Yuhashi and Tsuyoshi Mitake and Kazunori Itani and Toshiaki Takahashi and Shigemi Takeishi and Shiro Sasaki and Takashi Kadowaki and Ichiro Sakuma and Hongen Liao",

year = "2013",

doi = "10.1109/EMBC.2013.6611040",

language = "英语",

isbn = "9781457702167",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

pages = "6486--6489",

booktitle = "2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013",

note = "2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 ; Conference date: 03-07-2013 Through 07-07-2013",

}

Wang, J, Zhou, Y, Koizumi, N, Kubota, N, Asano, T, Yuhashi, K, Mitake, T, Itani, K, Takahashi, T, Takeishi, S, Sasaki, S, Kadowaki, T, Sakuma, I & Liao, H 2013, Automatic distance measurement of abdominal aorta for ultrasonography-based visceral fat estimation. in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013., 6611040, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 6486-6489, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 3/07/13. https://doi.org/10.1109/EMBC.2013.6611040

Automatic distance measurement of abdominal aorta for ultrasonography-based visceral fat estimation. / Wang, Junchen; Zhou, You; Koizumi, Norihiro et al.
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. 2013. p. 6486-6489 6611040 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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

TY - GEN

T1 - Automatic distance measurement of abdominal aorta for ultrasonography-based visceral fat estimation

AU - Wang, Junchen

AU - Zhou, You

AU - Koizumi, Norihiro

AU - Kubota, Naoto

AU - Asano, Takeharu

AU - Yuhashi, Kuzuhito

AU - Mitake, Tsuyoshi

AU - Itani, Kazunori

AU - Takahashi, Toshiaki

AU - Takeishi, Shigemi

AU - Sasaki, Shiro

AU - Kadowaki, Takashi

AU - Sakuma, Ichiro

AU - Liao, Hongen

PY - 2013

Y1 - 2013

N2 - Ultrasonography-based visceral fat estimation is a promising method to assess central obesity, which is associated with metabolic syndrome. The key to this method is to measure three types of distance in the ultrasound image. The most important one is the distance from the skin surface to the posterior wall of the abdominal aorta. We present a novel automatic measurement method to calculate this distance using 1D ultrasound signal processing. It is different from the conventional 2D image processing based methods which have high failure rate when the target is blurred or partially imaged. The proposed method identifies the waveforms of the aorta along a group of ultrasound scan lines and a rating mechanism is introduced to choose the best waveform for distance calculation. The robustness and accuracy of the method were evaluated by experiments based on clinical data.

AB - Ultrasonography-based visceral fat estimation is a promising method to assess central obesity, which is associated with metabolic syndrome. The key to this method is to measure three types of distance in the ultrasound image. The most important one is the distance from the skin surface to the posterior wall of the abdominal aorta. We present a novel automatic measurement method to calculate this distance using 1D ultrasound signal processing. It is different from the conventional 2D image processing based methods which have high failure rate when the target is blurred or partially imaged. The proposed method identifies the waveforms of the aorta along a group of ultrasound scan lines and a rating mechanism is introduced to choose the best waveform for distance calculation. The robustness and accuracy of the method were evaluated by experiments based on clinical data.

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DO - 10.1109/EMBC.2013.6611040

M3 - 会议稿件

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SN - 9781457702167

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 6486

EP - 6489

BT - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013

T2 - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013

Y2 - 3 July 2013 through 7 July 2013

ER -

Wang J, Zhou Y, Koizumi N, Kubota N, Asano T, Yuhashi K et al. Automatic distance measurement of abdominal aorta for ultrasonography-based visceral fat estimation. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. 2013. p. 6486-6489. 6611040. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2013.6611040

Automatic distance measurement of abdominal aorta for ultrasonography-based visceral fat estimation

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