Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization

Ling Zhang; Andreas Wahle; Zhi Chen; Li Zhang; Richard W Downe; Tomas Kovarnik; Milan Sonka

doi:10.1109/TMI.2015.2444815

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Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization

Ling Zhang, Andreas Wahle, Zhi Chen, Li Zhang, Richard W Downe, Tomas Kovarnik and Milan Sonka

IEEE transactions on medical imaging, Vol.34(12), pp.2550-2561

12/2015

DOI: 10.1109/TMI.2015.2444815

PMCID: PMC4700818

PMID: 26080381

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https://www.ncbi.nlm.nih.gov/pmc/articles/4700818View

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Abstract

A novel method is reported for simultaneous registration of location (axial direction) and orientation (circumferential direction) of two intravascular ultrasound (IVUS) pullbacks of the same vessel taken at different times. Monitoring plaque progression or regression (e.g., during lipid treatment) is of high clinical relevance. Our method uses a 3D graph optimization approach, in which the cost function jointly reflects similarity of plaque morphology and plaque/perivascular image appearance. Graph arcs incorporate prior information about temporal correspondence of the two IVUS sequences and limited angular twisting between consecutive IVUS images. Additionally, our approach automatically identifies starting and ending frame pairs in the two IVUS pullbacks. Validation of our method was performed in 29 pairs of IVUS baseline/follow-up pullback sequences consisting of 8 622 IVUS image frames in total. In comparison to manual registration by three experts, the average location and orientation registration errors ranged from 0.72 mm to 0.79 mm and from 7.3 ° to 9.3 ° , respectively, all close to the inter-observer variability with no difference being statistically significant (p = NS). Rotation angles determined by our automated approach and expert observers showed high correlation ( r 2 of 0.97 to 0.98) and agreed closely (mutual bias between the automated method and expert observers ranged from -1.57 ° to 0.15 ° ). Compared with state-of-the-art approaches, the new method offers lower errors in both location and orientation registration. Our method offers highly automated and accurate IVUS pullback registration and can be employed in IVUS-based studies of coronary disease progression, enabling more focal studies of coronary plaque development and transition of vulnerability.

Morphology

Natural History

Atherosclerosis

Cost function

Diseases

graph-based method

image registration

Image segmentation

Image sequences

intravascular ultrasound

Three-dimensional displays

Ultrasonic imaging

Details

Title: Subtitle: Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization
Creators: Ling Zhang - University of Iowa
Andreas Wahle - University of Iowa
Zhi Chen - University of Iowa
Li Zhang - University of Iowa
Richard W Downe - University of Iowa
Tomas Kovarnik - Charles University
Milan Sonka - University of Iowa
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.34(12), pp.2550-2561
DOI: 10.1109/TMI.2015.2444815
PMID: 26080381
PMCID: PMC4700818
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers
Grant note: Ministry of Education, Youth and Sports (10.13039/501100001823) R01HL063373; R01EB004640 / NIH (10.13039/100000002)
Language: English
Date published: 12/2015
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984186701502771

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