CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video

A range of well-known treatment methods for destroying tumor and similar harmful growth in human body utilizes the coherence between the inherently periodic movement of the affected body part and periodic respiratory signal of the patient, with the objective of minimizing damage to surrounding norma...

Full description

Saved in:
Bibliographic Details
Published in:2010 IEEE Pacific Visualization Symposium (PacificVis) pp. 89 - 96
Main Authors: Teng-Yok Lee, Chaudhuri, A., Porikli, F., Han-Wei Shen
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2010
Subjects:
ISBN:9781424466856, 1424466857
ISSN:2165-8765
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract A range of well-known treatment methods for destroying tumor and similar harmful growth in human body utilizes the coherence between the inherently periodic movement of the affected body part and periodic respiratory signal of the patient, with the objective of minimizing damage to surrounding normal tissues. Such methods require constant monitoring by an operator who observes the 3D body motion via its 2D projection onto an ultrasound imaging plane and studies the synchronism of this motion with the respiratory signal. Keeping an attentive eye on the respiratory signal as well as the ultrasound video for the entire treatment period is often inconvenient and burdensome. In this paper, we propose a video visualization technique called CycleStack Plot which reduces this cognitive overhead by blending the video and the signal together in a stack-like layout. This visualization reveals the inherent synchronism between the target's movement and the respiratory signal, visually highlights significant phase shifts of either of the two cyclic phenomena, with the hope of arresting the operator's attention. Our proposed visualization also provides a visual overview for the post-treatment analysis which enables educated users to quickly and effectively skim through the excessively long process. This paper demonstrates the utility of CycleStack Plot with a case study using real ultrasound videos. In addition, a user study has been performed to evaluate the merits and limitations of the proposed method with respect to the conventional way of watching a video and a signal side-by-side. Even though the motivation of the proposed visualization is improvement of medical applications that use ultrasound, the core techniques discussed here have potential to be extended to other application domains requiring analysis of cyclic patterns from videos.
AbstractList A range of well-known treatment methods for destroying tumor and similar harmful growth in human body utilizes the coherence between the inherently periodic movement of the affected body part and periodic respiratory signal of the patient, with the objective of minimizing damage to surrounding normal tissues. Such methods require constant monitoring by an operator who observes the 3D body motion via its 2D projection onto an ultrasound imaging plane and studies the synchronism of this motion with the respiratory signal. Keeping an attentive eye on the respiratory signal as well as the ultrasound video for the entire treatment period is often inconvenient and burdensome. In this paper, we propose a video visualization technique called CycleStack Plot which reduces this cognitive overhead by blending the video and the signal together in a stack-like layout. This visualization reveals the inherent synchronism between the target's movement and the respiratory signal, visually highlights significant phase shifts of either of the two cyclic phenomena, with the hope of arresting the operator's attention. Our proposed visualization also provides a visual overview for the post-treatment analysis which enables educated users to quickly and effectively skim through the excessively long process. This paper demonstrates the utility of CycleStack Plot with a case study using real ultrasound videos. In addition, a user study has been performed to evaluate the merits and limitations of the proposed method with respect to the conventional way of watching a video and a signal side-by-side. Even though the motivation of the proposed visualization is improvement of medical applications that use ultrasound, the core techniques discussed here have potential to be extended to other application domains requiring analysis of cyclic patterns from videos.
Author Chaudhuri, A.
Porikli, F.
Han-Wei Shen
Teng-Yok Lee
Author_xml – sequence: 1
  surname: Teng-Yok Lee
  fullname: Teng-Yok Lee
  organization: Ohio State Univ., Columbus, OH, USA
– sequence: 2
  givenname: A.
  surname: Chaudhuri
  fullname: Chaudhuri, A.
  organization: Ohio State Univ., Columbus, OH, USA
– sequence: 3
  givenname: F.
  surname: Porikli
  fullname: Porikli, F.
– sequence: 4
  surname: Han-Wei Shen
  fullname: Han-Wei Shen
  organization: Ohio State Univ., Columbus, OH, USA
BookMark eNpVkNFKwzAYhSNOcM49gRfmBapJ2vxNvRvFaWGgMPV2pMlfjXbJTNvBfHoL7sZzczjfgXNxLsjEB4-EXHN2wzkrbp8XZbWsyrdqfSPYCGUmCmDihMyLXPFMZBmAgvT0X5YwIVPBQSYqB3lO5l33yUZlUkgQU7IpD6bFda_N1x2tfIMxOv9OdxhdsM7QGj_03oVI907THre7EHVLO_we0BscaTfo1v3o3gVPnadD20fdhcHbsbMYLslZo9sO50efkdfl_Uv5mKyeHqpysUocz2WfaGE5sAYarpRFBrY2Ji3AWgN1xnPBm4wXGnRe1Eoyo1KmGwumrrUwguWQzsjV365DxM0uuq2Oh83xovQXZu1dYQ
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/PACIFICVIS.2010.5429602
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 9781424466863
1424466865
EndPage 96
ExternalDocumentID 5429602
Genre orig-research
GroupedDBID 6IE
6IL
6IN
AAWTH
ABLEC
ACGFS
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
M43
OCL
RIE
RIL
ID FETCH-LOGICAL-i175t-a2d160f6f188de06dbcc396ddc6b41721f419a6a79b850c830afd6cbba2c20763
IEDL.DBID RIE
ISBN 9781424466856
1424466857
ISICitedReferencesCount 3
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000290973000012&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2165-8765
IngestDate Wed Aug 27 03:12:34 EDT 2025
IsPeerReviewed false
IsScholarly true
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i175t-a2d160f6f188de06dbcc396ddc6b41721f419a6a79b850c830afd6cbba2c20763
PageCount 8
ParticipantIDs ieee_primary_5429602
PublicationCentury 2000
PublicationDate 2010-March
PublicationDateYYYYMMDD 2010-03-01
PublicationDate_xml – month: 03
  year: 2010
  text: 2010-March
PublicationDecade 2010
PublicationTitle 2010 IEEE Pacific Visualization Symposium (PacificVis)
PublicationTitleAbbrev PACIFICVIS
PublicationYear 2010
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0000452562
ssj0000941586
Score 1.7399545
Snippet A range of well-known treatment methods for destroying tumor and similar harmful growth in human body utilizes the coherence between the inherently periodic...
SourceID ieee
SourceType Publisher
StartPage 89
SubjectTerms Biomedical equipment
Humans
I.3.8 [Computing Methodologies]: COMPUTER GRAPHICS-Applications
Medical services
Medical treatment
Neoplasms
Patient monitoring
Pattern analysis
Performance evaluation
Ultrasonic imaging
Visualization
Title CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video
URI https://ieeexplore.ieee.org/document/5429602
WOSCitedRecordID wos000290973000012&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3LS8MwGA9zeNCLj018k4NH65q2edSbFIe9jIEPdhtpHlCVVrZu4H9vvj6mghdv7QelJUmT70t-D4SumI1DXwWAVFNQoBDrCS1gG85NhCExsTFRbTbBJxMxm8XTHrrecGGMMTX4zNzAZX2Wr0u1gq2yEXgrMVCO3OKcNVytzX4KSIPTVvrutUHMEVobPQaEUfjpacfrYkxQ3sk9tfesxX4RPx5N75J0nCYv6WMD_Wpf-8t_pV5-xnv_-_B9NPzm8eHpZoU6QD1THKLdHxKEAzRPPt3AcSmnervFKTwFcQz6x6XOFe5o_HidS9zqWL3jDoDtoktgZTZcTpwXePVeLeQSvJowMPzKIXoe3z8lD15ruuDlLpOoPBlownzLLBFCG5_pTKkwZlorlkVQL9qIxJJJHmeC-kqEvrSaqSyTgetyN1sdoX5RFuYYYVc7RtIwo6UvowB8za0RnFvrkjJJLT9BA2iq-UejqzFvW-n07_AZ2mlO7gH_dY761WJlLtC2Wlf5cnFZD4YvBYqusA
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3LS8MwGA9DBfXiYxPf5uDRur6Spt6kOFacY-CU3UaaB1RHK1s38L83Xx9TwYu39oPSkqTJ9yW_B0LXVIeeLVxAqgkoUBxtMclgG85MhJ6jQqX80mwiGA7ZZBKOWuhmzYVRSpXgM3ULl-VZvszFErbKuuCtREE5cpP4vmtXbK31jgqIg5Na_O6twsw5pLR6dB1K4LcnDbOLUkaCRvCpvqc1-suxw-7oPop7cfQaP1fgr_rFvxxYygWot_e_T99HnW8mHx6t16gD1FLZIdr9IULYRtPo0wwdk3SK9zscw1MQx6CAnMtU4IbIj1cpx7WS1Qw3EGwTXQAvs2Jz4jTDy1kx5wtwa8LA8cs76KX3MI76Vm27YKUmlygs7kqH2ppqhzGpbCoTIbyQSilo4kPFqH0n5JQHYcKILZhncy2pSBLumk4389UR2sjyTB0jbKpHnyuqJLe574KzuVYsCLQ2aRknOjhBbWiq6UelrDGtW-n07_AV2u6PnwbTQTx8PEM71Tk-oMHO0UYxX6oLtCVWRbqYX5YD4wtOHrH3
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2010+IEEE+Pacific+Visualization+Symposium+%28PacificVis%29&rft.atitle=CycleStack%3A+Inferring+periodic+behavior+via+temporal+sequence+visualization+in+ultrasound+video&rft.au=Teng-Yok+Lee&rft.au=Chaudhuri%2C+A.&rft.au=Porikli%2C+F.&rft.au=Han-Wei+Shen&rft.date=2010-03-01&rft.pub=IEEE&rft.isbn=9781424466856&rft.issn=2165-8765&rft.spage=89&rft.epage=96&rft_id=info:doi/10.1109%2FPACIFICVIS.2010.5429602&rft.externalDocID=5429602
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2165-8765&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2165-8765&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2165-8765&client=summon