High resolution three‐dimensional cardiac perfusion imaging using compartment‐based <i>k‐t</i> principal component analysis

Vitanis, Viton; Manka, Robert; Giese, Daniel; Pedersen, Heidi Frølund; Plein, Sven; Boesiger, Peter; Kozerke, Sebastian

doi:10.1002/mrm.22620

Cited by 73 publications

(99 citation statements)

References 35 publications

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“…19,20 Whole-heart coverage is achieved by using data undersampling strategies in conjunction with appropriate image reconstruction techniques, 21 such as (k-t) imaging, including sensitivity encoding [22][23][24] or principal component analysis. 25 The diagnostic accuracy of 3D perfusion CMR has recently been validated in single-center studies against both quantitative coronary angiography (QCA) 18 and 2…”

Section: See Clinical Perspectivementioning

confidence: 99%

Multicenter Evaluation of Dynamic Three-Dimensional Magnetic Resonance Myocardial Perfusion Imaging for the Detection of Coronary Artery Disease Defined by Fractional Flow Reserve

Manka

Wissmann

Gebker

et al. 2015

Circ: Cardiovascular Imaging

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Background-First-pass myocardial perfusion cardiovascular magnetic resonance (CMR) imaging yields high diagnostic accuracy for the detection of coronary artery disease (CAD). However, standard 2D multislice CMR perfusion techniques provide only limited cardiac coverage, and hence considerable assumptions are required to assess myocardial ischemic burden. The aim of this prospective study was to assess the diagnostic performance of 3D myocardial perfusion CMR to detect functionally relevant CAD with fractional flow reserve (FFR) as a reference standard in a multicenter setting. Methods and Results-A total of 155 patients with suspected CAD listed for coronary angiography with FFR were prospectively enrolled from 5 European centers. 3D perfusion CMR was acquired on 3T MR systems from a single vendor under adenosine stress and at rest. All CMR perfusion analyses were performed in a central laboratory and blinded to all clinical data. One hundred fifty patients were successfully examined (mean age 62.9±10 years, 45 female). The prevalence of CAD defined by FFR (<0.8) was 56.7% (85 of 150 patients). The sensitivity and specificity of 3D perfusion CMR were 84.7% and 90.8% relative to the FFR reference. Comparison to quantitative coronary angiography (≥50%) yielded a prevalence of 65.3%, sensitivity and specificity of 76.5% and 94.2%, respectively. Conclusions-In this multicenter study, 3D myocardial perfusion CMR proved highly diagnostic for the detection of significant CAD as defined by FFR. (Circ Cardiovasc Imaging. 2015;8:e003061.

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Section: See Clinical Perspectivementioning

confidence: 99%

Multicenter Evaluation of Dynamic Three-Dimensional Magnetic Resonance Myocardial Perfusion Imaging for the Detection of Coronary Artery Disease Defined by Fractional Flow Reserve

Manka

Wissmann

Gebker

et al. 2015

Circ: Cardiovascular Imaging

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“…This finding was also observed in previous work where compartment-based k-t PCA separated perfusion images into different parts (right ventricular blood pool, left ventricle, etc.) and achieved better image quality than conventional k-t PCA (25). In addition, BLOSM with motion guidance performed better than BLOSM without motion guidance, showing the advantage of the motion-guided regional approach.…”

Section: Discussionmentioning

confidence: 87%

“…It is hypothesized that simplified dynamics can be achieved within a small scope of the image. Methods includes LOST (24), compartment-based kt PCA (25) and localized spatio-temporal constraints (26). These methods present promising quality improvement; however, large motion remains a problem.…”

Section: Regional Sparsitymentioning

confidence: 99%

“…Analysis (25) showed that separating an image dataset into different regions could increase spatiotemporal sparsity and improve reconstruction quality. Along these lines, we explored the use of matrix rank sparsity applied regionally by using SVD on tracked regions of dynamic datasets.…”

Section: Regional Sparsitymentioning

confidence: 99%

“…Several compressed sensing (32) methods have been proposed to accelerate first-pass perfusion imaging (15,19,25,26,45). However, patient motion due to imperfect breathholding and other factors leads to degraded quality of CSreconstructed images.…”

Section: Suspected Heart Diseasementioning

confidence: 99%

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Accelerated Dynamic Cardiac MRI Using Motion-Guided Compressed Sensing with Regional Sparsity

Chen

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All rights reserved AbstractDynamic cardiac Magnetic Resonance Imaging (CMR) demands fast imaging techniques to obtain high spatial-resolution, large spatial-coverage and high temporal-resolution images for accurate prognosis and diagnosis. Compressed sensing (CS), a fast imaging technique of growing importance, is making a major impact on MRI. Using CS, high-quality images can be recovered from data sampled well below the Nyquist rate. Because of the high temporal and spatial redundancy inherent to dynamic images, these data are well-suited for acceleration by CS.However, the complex dynamics which include both object motions and image contrast variations encountered in dynamic CMR pose challenging tasks for CS techniques. The complexity, if not handled correctly, leads to largely degraded reconstruction quality.This dissertation presents a novel CS method to accelerate dynamic CMR imaging, especially those with complex dynamics, with a motion-compensated CS method that exploits regional spatiotemporal sparsity: Block LOw-rank Sparsity with Motion-guidance (BLOSM). In one iteration of the BLOSM calculation, blocks of image pixels are motion-tracked through time and low-rank sparsity is exploited within the tracked blocks. The de-noised blocks are merged back into complete images and compensated for data fidelity.The BLOSM method was first developed and validated using retrospectively accelerated first-pass cardiac perfusion images with prominent respiratory motion and computer simulated motion phantoms. Systematic experiments were conducted to compare BLOSM to several other II competing CS methods. The BLOSM showed great quality improvement for the images presenting complex dynamics.Two CMR applications of great clinical importance, both of which present distinct and extremely challenging tasks for CS, were prospectively accelerated using BLOSM.First-pass cardiac perfusion imaging was accelerated on patients with suspected heart disease. With prospective rate 4 acceleration, multi-slice high spatial resolution perfusion images were acquired. A Poisson-disc-distributed sampling pattern was implemented. BLOSM was extended to incorporate parallel imaging. The image quality offered by BLOSM showed significant improvement over the other CS methods when respiratory motion occurred.2D cine DENSE imaging was accelerated using BLOSM. The scan time was shortened from two separate breathholds of total 28 heartbeats to one single breathhold of 8 heartbeats.Variable-density spiral trajectory with golden angle rotation was designed for accelerated data sampling. Both retrospective and prospective studies were conducted in healthy volunteers and BLOSM provided high image quality and the cardiac function assessed from BLOSM reconstructed images matched well with the fully-sampled reference data.III

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Identification of 12 or more lymph nodes in resected colon cancer specimens as an indicator of quality performance

Dillman

Aaron

Heinemann

et al. 2009

Cancer

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BACKGROUND:Identification of ≥12 lymph nodes in resected colon cancer specimens has been endorsed as a quality indicator.METHODS:The Hoag Hospital cancer registry was used to identify patients diagnosed with colon cancer. The proportion of colon cancer specimens for which ≥12 lymph nodes were identified was determined by anatomic location, stage of disease, patient age, and operating surgeon. Survival was correlated with stage and with whether ≥12 lymph nodes were identified.RESULTS:Pathology procedural changes in 1998 were associated with an increase in the average number of lymph nodes identified from 8.0 to 14.5 (P < .0001); therefore, analysis was limited to 574 patients who underwent surgical resection of colon adenocarcinoma during 1998 to 2005. Identification of ≥12 lymph nodes varied from 57% to 83% by 7 anatomic locations (P < .0001), from 65% to 75% by 5 age cohorts (P = .027), from 59% to 73% by 4 general stages of disease (P = .004), and from 53% to 80% among 12 surgeons who performed at least 17 resections (P = .014). The proportion of resections in which ≥12 lymph nodes were identified was higher for 3 colorectal fellowship‐trained surgeons compared with the other 9 surgeons (77% vs 63%, P = .0007), and with 30 surgeons who each performed <10 resections (77% vs 51%, P < .0001). Identification of ≥12 lymph nodes was associated with better survival for patients with stage I (P = .016) and stage II (P = .021) disease.CONCLUSIONS:Anatomic location, colorectal surgical training, and case volume were strongly correlated with the number of lymph nodes identified. Cancer 2009. © 2009 American Cancer Society.

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High resolution three‐dimensional cardiac perfusion imaging using compartment‐based k‐t principal component analysis

Cited by 73 publications

References 35 publications

Multicenter Evaluation of Dynamic Three-Dimensional Magnetic Resonance Myocardial Perfusion Imaging for the Detection of Coronary Artery Disease Defined by Fractional Flow Reserve

Multicenter Evaluation of Dynamic Three-Dimensional Magnetic Resonance Myocardial Perfusion Imaging for the Detection of Coronary Artery Disease Defined by Fractional Flow Reserve

Accelerated Dynamic Cardiac MRI Using Motion-Guided Compressed Sensing with Regional Sparsity

Identification of 12 or more lymph nodes in resected colon cancer specimens as an indicator of quality performance

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