Nonrigid registration-based coronary artery motion correction for cardiac computed tomography

Bhagalia, Roshni; Pack, Jed D.; Miller, James V.; Iatrou, Maria

doi:10.1118/1.4725712

Cited by 47 publications

(43 citation statements)

References 24 publications

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“…An alternative backproject-then-warp approach has been proposed, and been shown with similar accuracy. 11 This method obtained series of partial images at different times using partial reconstruction, and then warped with motion field. The summation is the final motion compensated reconstruction.…”

Section: Mcrmentioning

confidence: 99%

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Motion estimation and compensation for coronary artery and myocardium in cardiac CT

et al. 2015

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Motion blurring is still a challenge for cardiac CT imaging. A new motion estimation (ME) and motion compensation method is developed for cardiac CT. The proposed method estimates motion of entire heart, and then applies motion compensation. Therefore, the proposed method reduces motion artifacts not only in coronary artery region as most other methods did, but also reduces motion blurring in myocardium region. In motion compensated reconstruction, we use the Fourier transfer method proposed by Pack et al to obtain a series of partial images, and then warp and sum together to obtain final motion compensated images. The robustness and performance of the proposed method was verified with data from 10 patients and improvements in sharpness of both coronary arteries and myocardium were obtained.

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Section: Mcrmentioning

confidence: 99%

“…Some motion compensation approaches target the coronary artery region, in order to provide coronary artery images with less severe motion artifacts for CAD diagnosis [7], [9][10][11]. However, cCT imaging can provide more diagnostic information than that related to the coronary arteries (e.g.…”

mentioning

confidence: 99%

Motion estimation and compensation for coronary artery and myocardium in cardiac CT

et al. 2015

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“…This paper is organized as follows: in section 2, we describe the Radon space analysis method and the proposed TSCT-CFOV and OSDRD systems; in section 3.1, we demonstrate FFOV capability with shifted detectors in the TSCT architecture; in section 3.2, we describe the azimuthal blurring effect in OSRD CT architectures, and discuss some blurring reduction and spatial resolution boost methods; in section 4, we summarize the conclusions and discuss future work on reconstruction algorithm challenges. Motion estimation and compensation techniques [11] are outside the scope of this paper.…”

Section: Introductionmentioning

confidence: 99%

Rotating and semi-stationary multi-beamline architecture study for cardiac CT imaging

et al. 2014

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Over the past decade, there has been abundant research on future cardiac CT architectures and corresponding reconstruction algorithms. Multiple cardiac CT concepts have been published, including third-generation single-source CT with wide-cone coverage, dual-source CT, and electron-beam CT, etc. In this paper, we apply a Radon space analysis method to two multi-beamline architectures: triple-source CT and semi-stationary ring-source CT. In our studies, we have considered more than thirty cardiac CT architectures and triple-source CT was identified as a promising solution, offering approximately a three-fold advantage in temporal resolution, which can significantly reduce motion artifacts due to the moving heart and lungs. In this work, we describe a triple-source CT architecture with all three beamlines (i.e. source-detector pairs) limited to the cardiac field of view in order to eliminate the radiation dose outside the cardiac region. We also demonstrate the capability of performing full field of view imaging when desired, by shifting the detectors. Ring-source dual-rotating-detector CT is another architecture of interest, which offers the opportunity to provide high temporal resolution using a full-ring stationary source. With this semi-stationary architecture, we found that the azimuthal blur effect can be greater than in a fully-rotating CT system. We therefore propose novel scanning modes to reduce the azimuthal blur in ring-source rotating detector CT. Radon space analysis method proves to be a useful method in CT system architecture study.

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“…In these studies only the segmented coronary trees were used as input to the registration algorithm and only coronary arteries were registered. The estimation of the cardiac motion based on manually or semi-automatically segmented vessels was also used for improvement of the CT reconstruction [7, 8]. Bhagalia et.…”

Section: Introductionmentioning

confidence: 99%

“…al. [8] used a coronary registration algorithm (SWA) to improve the image quality of cardiac CT scans as demonstrated in an observer study using nine human cardiac CTA. Motion compensation was achieved by employing a 3D warping of a series of partial reconstructions based on the estimated motion fields.…”

Section: Introductionmentioning

confidence: 99%

Coronary CT angiography (cCTA): automated registration of coronary arterial trees from multiple phases

Hadjiiski

Zhou²,

Chan³

et al. 2014

Phys. Med. Biol.

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Coronary computed tomography angiography (cCTA) is a commonly used imaging modality for evaluation of coronary artery disease. cCTA is generally reconstructed in multiple cardiac phases because different coronary arteries may be better visualized in some phases than in other phases due to the periodic cardiac motion. We are developing an automated registration method for coronary arterial trees from multiple-phase cCTA that has potential application in building a “best-quality” tree to facilitate image analysis and detection of stenotic plaques. Given the segmented left or right coronary arterial trees (LCA or RCA) from the multiple phases as input, the adjacent phase pairs, where displacements are relatively small, are registered by specifically designed method based on cubic B-spline with fast localized optimization (CBSO). For the phase pairs with large displacements, a global registration using affine transform with quadratic terms and nonlinear simplex optimization (AQSO) is followed by a local registration using CBSO to refine the AQSO registered volumes. 26 LCA and 26 RCA trees with 6 cCTA phases from 26 patients were used for registration evaluation. The average distances for the tree pairs between the adjacent phases with small displacements before and after CBSO registration were 0.96 ± 0.79 mm and 0.76 ± 0.61 mm, respectively, for LCA and 0.93 ± 0.97 mm and 0.64 ± 0.43 mm, respectively, for RCA. The average distance differences before and after registration were statistically significant (p<0.001) for both LCA and RCA trees. The average distances for the distant phases with large displacements before registration, after AQSO registration, and finally after the CBSO registration were 2.85 ± 1.46, 1.62 ± 0.76, and 0.97 ± 0.43 mm, respectively, for LCA, and 4.03 ± 2.36, 2.18 ± 1.11, and 0.97 ± 0.44 mm, respectively, for RCA. The average distance differences between every two consecutive stages of registration were statistically significant. The corresponding phases of LCA and RCA trees were aligned to an average of less than 1 mm, providing a basis for a best-quality tree construction.

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Nonrigid registration-based coronary artery motion correction for cardiac computed tomography

Cited by 47 publications

References 24 publications

Motion estimation and compensation for coronary artery and myocardium in cardiac CT

Motion estimation and compensation for coronary artery and myocardium in cardiac CT

Rotating and semi-stationary multi-beamline architecture study for cardiac CT imaging

Coronary CT angiography (cCTA): automated registration of coronary arterial trees from multiple phases

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