Characterization of cardiac quiescence from retrospective cardiac computed tomography using a correlation‐based phase‐to‐phase deviation measure

Wick, Carson A.; McClellan, J.H.; Arepalli, Chesnal; Auffermann, William F.; Henry, Travis S.; Khosa, Faisal; Coy, Adam; Tridandapani, Srini

doi:10.1118/1.4906246

Cited by 10 publications

(22 citation statements)

References 21 publications

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“…Location of the IVS for (a) echocardiography and (b) CT. For CT, the blue volume corresponds to the IVS, segmented using the techniques presented by Wick et al (2015b).…”

Section: Figurementioning

confidence: 99%

Echocardiography as an indication of continuous-time cardiac quiescence

et al. 2016

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Cardiac computed tomography (CT) angiography using prospective gating requires that data be acquired during intervals of minimal cardiac motion to obtain diagnostic images of the coronary vessels free of motion artifacts. This work is intended to assess B-mode echocardiography as a continuous-time indication of these quiescent periods to determine if echocardiography can be used as a cost-efficient, non-ionizing modality to develop new prospective gating techniques for cardiac CT. These new prospective gating approaches will not be based on echocardiography itself but on CT-compatible modalities derived from the mechanics of the heart (e.g., seismocardiography and impedance cardiography), unlike the current standard electrocardiogram. To this end, echocardiography and retrospectively-gated CT data were obtained from 10 patients with varied cardiac conditions. CT reconstructions were made throughout the cardiac cycle. Motion of the interventricular septum (IVS) was calculated from both echocardiography and CT reconstructions using correlation-based, deviation techniques. The IVS was chosen because it 1) is visible in echocardiography images, whereas the coronary vessels generally are not, and 2) has been shown to be a suitable indicator of cardiac quiescence. Quiescent phases were calculated as the minima of IVS motion and CT volumes were reconstructed for these phases. The diagnostic quality of the CT reconstructions from phases calculated from echocardiography and CT data was graded on a four-point Likert scale by a board-certified radiologist fellowship-trained in cardiothoracic radiology. Using a Wilcoxon signed-rank test, no significant difference in the diagnostic quality of the coronary vessels was found between CT volumes reconstructed from echocardiography- and CT-selected phases. Additionally, there was a correlation of 0.956 between the echocardiography- and CT-selected phases. This initial work suggests that B-mode echocardiography can be used as a tool to develop CT-compatible gating techniques based on modalities derived from cardiac mechanics rather than relying on the ECG alone.

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“…Location of the IVS for (a) echocardiography and (b) CT. For CT, the blue volume corresponds to the IVS, segmented using the techniques presented by Wick et al (2015b).…”

Section: Figurementioning

confidence: 99%

Echocardiography as an indication of continuous-time cardiac quiescence

et al. 2016

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“…Because of the complexity of motion artifacts, it is difficult to quantify these motion artifact effects individually. Therefore, previous studies have proposed motion artifact metrics that evaluate the overall vessel image quality …”

Section: Methodologies and Materialsmentioning

confidence: 99%

Evaluation of motion artifact metrics for coronary CT angiography

Gros²,

Szabó

et al. 2018

Medical Physics

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“…The algorithm demonstrated an average phase agreement of 5% between the proposed algorithm and the clinical algorithm, with comparable or better subjective image quality ratings for the selected phase. 11 One limitation of this algorithm is that the coronary artery segmentation was not fully automated. As with previous algorithms, low-motion phases were selected using phase-to-phase processing, typically using 4D data reconstructed at 1% phase intervals.…”

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confidence: 99%

“…As with previous algorithms, low-motion phases were selected using phase-to-phase processing, typically using 4D data reconstructed at 1% phase intervals. 8,11 The objective of this study was to develop and evaluate an automated algorithm to select the best cardiac phase for CCTA reconstruction. The proposed algorithm differs from the previous approaches because the optimal phase is identified based on vessel image quality directly, compared to the previous approaches that included motion estimation and interphase processing.…”

mentioning

confidence: 99%

“…8 In a recently proposed algorithm, a deviation metric is calculated as the correlation coefficient between the segmented coronary artery volumes of neighboring phases. 11 The low-motion phase is selected based on the estimated velocity, which is approximated from the deviation metric assuming linear motion and limited vessel deformation in the reconstructed image. The algorithm demonstrated an average phase agreement of 5% between the proposed algorithm and the clinical algorithm, with comparable or better subjective image quality ratings for the selected phase.…”

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confidence: 99%

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Automated selection of the optimal cardiac phase for single-beat coronary CT angiography reconstruction

Stassi

Dutta²,

et al. 2015

Med. Phys.

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Abstract:Purpose: Reconstructing a low-motion cardiac phase is expected to improve coronary artery visualization in coronary computed tomography angiography (CCTA) exams. This study developed an automated algorithm for selecting the optimal cardiac phase for CCTA reconstruction. The algorithm uses prospectively gated, single-beat, multiphase data made possible by wide cone-beam imaging. The proposed algorithm differs from previous approaches because the optimal phase is identified based on vessel image quality (IQ) directly, compared to previous approaches that included motion estimation and interphase processing. Because there is no processing of interphase information, the algorithm can be applied to any sampling of image phases, making it suited for prospectively gated studies where only a subset of phases are available. Methods: An automated algorithm was developed to select the optimal phase based on quantitative IQ metrics. For each reconstructed slice at each reconstructed phase, an image quality metric was calculated based on measures of circularity and edge strength of through-plane vessels. The image quality metric was aggregated across slices, while a metric of vessellocation consistency was used to ignore slices that did not contain throughplane vessels. The algorithm performance was evaluated using two observer studies. Fourteen single-beat cardiacCT exams (Revolution CT, GE Healthcare, Chalfont St. Giles, UK) reconstructed at 2% intervals were evaluated for best systolic (1), diastolic (6), or systolic and diastolic phases (7) by three readers and the algorithm. Pairwise inter-reader and reader-algorithm agreement was evaluated using the mean absolute difference (MAD) and concordance correlation coefficient (CCC) between the reader and algorithm-selected phases. A reader-consensus best phase was determined and compared to the algorithm selected phase. In cases where the algorithm and consensus best NOT THE PUBLISHED VERSION; this is the author's final, peer-reviewed manuscript. The published version may be accessed by following the link in the citation at the bottom of the page. 3 phases differed by more than 2%, IQ was scored by three readers using a five point Likert scale. Results: There was no statistically significant difference between inter-reader and reader-algorithm agreement for either MAD or CCC metrics (p > 0.1). The algorithm phase was within 2% of the consensus phase in 15/21 of cases. The average absolute difference between consensus and algorithm best phases was 2.29% ± 2.47%, with a maximum difference of 8%. Average image quality scores for the algorithm chosen best phase were 4.01 ± 0.65 overall, 3.33 ± 1.27 for right coronary artery (RCA), 4.50 ± 0.35 for left anterior descending (LAD) artery, and 4.50 ± 0.35 for left circumflex artery (LCX). Average image quality scores for the consensus best phase were 4.11 ± 0.54 overall, 3.44 ± 1.03 for RCA, 4.39 ± 0.39 for LAD, and 4.50 ± 0.18 for LCX. There was no statistically significant difference (p > 0.1) between the image quality scor...

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Characterization of cardiac quiescence from retrospective cardiac computed tomography using a correlation‐based phase‐to‐phase deviation measure

Cited by 10 publications

References 21 publications

Echocardiography as an indication of continuous-time cardiac quiescence

Echocardiography as an indication of continuous-time cardiac quiescence

Evaluation of motion artifact metrics for coronary CT angiography

Automated selection of the optimal cardiac phase for single-beat coronary CT angiography reconstruction

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