Improving best‐phase image quality in cardiac CT by motion correction with MAM optimization

Rohkohl, Christopher; Bruder, Herbert; Stierstorfer, Karl; Flohr, Thomas

doi:10.1118/1.4789486

Cited by 65 publications

(72 citation statements)

References 28 publications

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“…For example, despite the novel scanner hardware development, cardiac coronary artery imaging still poses significant challenges to CT due to the presence of irregular and rapid vessel motion. Motion-induced artifacts even appear in patients with low heart-rates, resulting from the relatively high velocities of some of the coronary arteries [83]. Recent development of an advanced algorithm seems to offer good solutions to address this issue [84 •• ].…”

Section: Discussionmentioning

confidence: 99%

Recent Advances in CT Image Reconstruction

et al. 2013

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Over the past two decades, rapid system and hardware development of x-ray computed tomography (CT) technologies has been accompanied by equally exciting advances in image reconstruction algorithms. The algorithmic development can generally be classified into three major areas: analytical reconstruction, model-based iterative reconstruction, and application-specific reconstruction. Given the limited scope of this chapter, it is nearly impossible to cover every important development in this field; it is equally difficult to provide sufficient breadth and depth on each selected topic. As a compromise, we have decided, for a selected few topics, to provide sufficient high-level technical descriptions and to discuss their advantages and applications.

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Section: Discussionmentioning

confidence: 99%

Recent Advances in CT Image Reconstruction

et al. 2013

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“…Thus, estimating only one parameter may be sufficient to obtain a reasonable image quality. A straightforward estimation method is to create reconstructions for various u -direction offsets and either manually select the visually most accurate reconstruction or automatically select the best reconstruction based on image quality measures such as Entropy or Positivity (Rohkohl et al; 2013). …”

Section: Discussionmentioning

confidence: 99%

“…Only little work has been done on purely image-based motion estimation. Some methods impose assumptions on the imaged object and optimize entropy or positivity measures for the 3-D reconstruction (Rohkohl et al; 2013; Ens et al; 2010). Others use mathematically formulated data consistency conditions (CC) that describe redundancies in projection or sinogram domain.…”

Section: Introductionmentioning

confidence: 99%

Motion compensation for cone-beam CT using Fourier consistency conditions

et al. 2017

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In cone-beam CT, involuntary patient motion and inaccurate or irreproducible scanner motion substantially degrades image quality. To avoid artifacts this motion needs to be estimated and compensated during image reconstruction. In previous work we showed that Fourier Consistency Conditions (FCC) can be used in fan-beam CT to estimate motion in the sinogram domain. This work extends the FCC to 3-D cone-beam CT. We derive an efficient cost function to compensate for 3-D motion using 2-D detector translations. The extended FCC method have been tested with five translational motion patterns, using a challenging numerical phantom. We evaluated the root-mean-square-error (RMSE) and the structural-similarity-index (SSIM) between motion corrected and motion-free reconstructions. Additionally, we computed the mean-absolute-difference (MAD) between the estimated and the ground-truth motion. The practical applicability of the method is demonstrated by application to respiratory motion estimation in rotational angiography, but also to motion correction for weight-bearing imaging of knees. Where the latter makes use of specifically modified FCC version which is robust to axial truncation. The results show a great reduction of motion artifacts. Accurate estimation results were achieved with a maximum MAD value of 708 µm and 1184 µm for motion along the vertical and horizontal detector direction, respectively. The image quality of reconstructions obtained with the proposed method is close to that of motion corrected reconstructions based on the ground-truth motion. Simulations using noise-free and noisy data demonstrate that FCC are robust to noise. Even high-frequency motion was accurately estimated leading to a considerable reduction of streaking artifacts. The method is purely image-based and therefore independent of any auxiliary data.

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“…12,13 Furthermore, algorithms that correct for motion during reconstruction are becoming clinically available. 14,15 Even when using these techniques, it is still prudent to avoid as much motion during acquisition as possible.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2015

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Purpose: Accurate knowledge of cardiac quiescence is crucial to the performance of many cardiac imaging modalities, including computed tomography coronary angiography (CTCA). To accurately quantify quiescence, a method for detecting the quiescent periods of the heart from retrospective cardiac computed tomography (CT) using a correlation-based, phase-to-phase deviation measure was developed. Methods: Retrospective cardiac CT data were obtained from 20 patients (11 male, 9 female, 33-74 yr) and the left main, left anterior descending, left circumflex, right coronary artery (RCA), and interventricular septum (IVS) were segmented for each phase using a semiautomated technique. Cardiac motion of individual coronary vessels as well as the IVS was calculated using phase-to-phase deviation. As an easily identifiable feature, the IVS was analyzed to assess how well it predicts vessel quiescence. Finally, the diagnostic quality of the reconstructed volumes from the quiescent phases determined using the deviation measure from the vessels in aggregate and the IVS was compared to that from quiescent phases calculated by the CT scanner. Three board-certified radiologists, fellowship-trained in cardiothoracic imaging, graded the diagnostic quality of the reconstructions using a Likert response format: 1 = excellent, 2 = good, 3 = adequate, 4 = nondiagnostic. Results: Systolic and diastolic quiescent periods were identified for each subject from the vessel motion calculated using the phase-to-phase deviation measure. The motion of the IVS was found to be similar to the aggregate vessel (AGG) motion. The diagnostic quality of the coronary vessels for the quiescent phases calculated from the aggregate vessel (P AGG ) and IVS (P IVS ) deviation signal using the proposed methods was comparable to the quiescent phases calculated by the CT scanner (P CT ). The one exception was the RCA, which improved for P AGG for 18 of the 20 subjects when compared to P CT (P CT = 2.48; P AGG = 2.07, p = 0.001). Conclusions: A method for quantifying the motion of specific coronary vessels using a correlationbased, phase-to-phase deviation measure was developed and tested on 20 patients receiving cardiac CT exams. The IVS was found to be a suitable predictor of vessel quiescence. The diagnostic quality of the quiescent phases detected by the proposed methods was comparable to those calculated by the CT scanner. The ability to quantify coronary vessel quiescence from the motion of the IVS can be used to develop new CTCA gating techniques and quantify the resulting potential improvement in CTCA image quality. C 2015 American Association of Physicists in Medicine.

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Improving best‐phase image quality in cardiac CT by motion correction with MAM optimization

Cited by 65 publications

References 28 publications

Recent Advances in CT Image Reconstruction

Recent Advances in CT Image Reconstruction

Motion compensation for cone-beam CT using Fourier consistency conditions

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

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