Evidence map›Paper›PMID 26080381›Full record

ArticleIEEE transactions on medical imaging2015

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

Abstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

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

Funding

Graph-Based Medical Image Segmentation in 3D and 4DR01EB004640 · NIBIB · UNIVERSITY OF IOWA · PI BUATTI, JOHN M, SONKA, MILAN · 2006 to 2022
$6.1M
3D &4D CORONARY HEMODYNAMICS AND LOCAL ATHEROSCLEROSISR01HL063373 · NHLBI · UNIVERSITY OF IOWA · PI SONKA, MILAN · 1999 to 2009
$2.1M
NHLBI NIH HHS R01 HL063373NHLBI NIH HHS R01HL063373NIBIB NIH HHS R01 EB004640NIBIB NIH HHS R01EB004640
6 · The paper itself

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.

Indexed as

AlgorithmsCoronary Artery DiseaseHumansImaging, Three-DimensionalUltrasonography, Interventional

Identifiers

PMID26080381
PMCPMC4700818

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.