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001 on1001281758;

003 OCoLC;

005 20171207102020.0;

006 m o d ;

007 cr unu||||||||;

008 170816s2017 ncua obm 000 0 eng d;

035 a| (Sirsi) o1001281758;

035 a| (OCoLC)1001281758;

049 a| EREE;

090 a| RC683.5.I42;

100 1 a| Tucker, Bryent,e| author.?| UNAUTHORIZED;

245 10 a| Development of a heart motion tracking system using non-invasive imaging data /c| by Bryent Tucker.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2017.;

300 a| 127 pages :b| illustrations (some color);

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 11.70 MB2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2017;

500 a| Presented to the faculty of the Department of Engineering;

500 a| Advisor: Zhen Zhu;

500 a| Title from PDF t.p.(viewed December 4, 2017).;

520 3 a| Cardiac motion can be monitored non-invasively for the assessment of cardiovascular function by using medical imaging systems and motion tracking algorithms. Existing tracking approaches require a priori understanding of the non-rigid motion of the target system, which could change over multiple cardiac cycles and lead to tracking failures. The purpose of this research is to develop the algorithm and software, with computer vision techniques, to continuously track the motion of a user-defined region of the heart images. The proposed algorithm improves upon existing techniques because it does not require an underlying motion model, it quantifies the quality of tracking, and it can recover from a failed tracking estimate. The motion estimation of a non-rigid system will be done by a piecewise tracking approach that breaks up the region of interest into several small segments (patches), which can be approximated with interconnected pseudo-rigid segments. These segments will be initialized based on two criteria: 1) motion within a segment must follow the pseudo-rigid body model; and 2) motion in neighboring segments must be similar to each other. Segments are subsequently tracked as pseudo-rigid bodies, and the criteria described above are also used to detect failures in tracking. If a failure were to occur, the tracking algorithm will be reinitialized automatically. This algorithm was shown to be accurate and efficient, and has been tested on several heart motion data sets.;

504 a| Includes bibliographical references.;

650 0 a| Heartx| Imaging.=| ^A473933;

650 0 a| Echocardiographyx| Digital techniques.=| ^A1349431;

650 0 a| Computer vision in medicine.=| ^A851140;

653 a| Biomedical Engineering;

653 a| Heart Motion Tracking;

700 1 a| Zhu, Zhene| degree supervisor.=| ^A1347982;

710 2 a| East Carolina University.b| Department of Engineering.=| ^A1231592;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/6358;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 4733378;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4733378-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 8/16/2017x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4733378-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 8/16/2017x| ETDz| HERESOURCE;

Development of a heart motion tracking system using non-invasive imaging data / by Bryent Tucker.

Author/creator	Tucker, Bryent author.
Other author	Zhu, Zhen degree supervisor.
Other author	East Carolina University. Department of Engineering.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2017.
Description	127 pages : illustrations (some color)
Supplemental Content	Access via ScholarShip
Subjects	Heart--Imaging. Echocardiography--Digital techniques. Computer vision in medicine.

Summary	Cardiac motion can be monitored non-invasively for the assessment of cardiovascular function by using medical imaging systems and motion tracking algorithms. Existing tracking approaches require a priori understanding of the non-rigid motion of the target system, which could change over multiple cardiac cycles and lead to tracking failures. The purpose of this research is to develop the algorithm and software, with computer vision techniques, to continuously track the motion of a user-defined region of the heart images. The proposed algorithm improves upon existing techniques because it does not require an underlying motion model, it quantifies the quality of tracking, and it can recover from a failed tracking estimate. The motion estimation of a non-rigid system will be done by a piecewise tracking approach that breaks up the region of interest into several small segments (patches), which can be approximated with interconnected pseudo-rigid segments. These segments will be initialized based on two criteria: 1) motion within a segment must follow the pseudo-rigid body model; and 2) motion in neighboring segments must be similar to each other. Segments are subsequently tracked as pseudo-rigid bodies, and the criteria described above are also used to detect failures in tracking. If a failure were to occur, the tracking algorithm will be reinitialized automatically. This algorithm was shown to be accurate and efficient, and has been tested on several heart motion data sets.
General note	Presented to the faculty of the Department of Engineering
General note	Advisor: Zhen Zhu
General note	Title from PDF t.p.(viewed December 4, 2017).
Dissertation note	M.S. East Carolina University 2017
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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Development of a heart motion tracking system using non-invasive imaging data / by Bryent Tucker.

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