Improvement in the quantification of myocardial perfusion using an automatic spline‐based registration algorithm

Dornier, Christophe; Ivancevic, Marko K.; Thévenaz, P.; Vallée, Jean‐Paul

doi:10.1002/jmri.10351

Cited by 39 publications

(39 citation statements)

References 17 publications

(21 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[5][6][7] Remaining motion artifacts may then be reduced by the use of various elastic registration procedures that warp the spatial data. [8][9][10] In cases where gating is not possible or unreliable, nongated dynamic datasets have been registered by a variety of methods and for various purposes. For instance, in nuclear medicine, noise reduction may be performed through temporal averaging of nongated signals.…”

Section: Introductionmentioning

confidence: 99%

Four-dimensional cardiac imaging in living embryos via postacquisition synchronization of nongated slice sequences

et al. 2005

View full text Add to dashboard Cite

Abstract. Being able to acquire, visualize, and analyze 3D time series ͑4D data͒ from living embryos makes it possible to understand complex dynamic movements at early stages of embryonic development. Despite recent technological breakthroughs in 2D dynamic imaging, confocal microscopes remain quite slow at capturing optical sections at successive depths. However, when the studied motion is periodicsuch as for a beating heart-a way to circumvent this problem is to acquire, successively, sets of 2D + time slice sequences at increasing depths over at least one time period and later rearrange them to recover a 3D + time sequence. In other imaging modalities at macroscopic scales, external gating signals, e.g., an electro-cardiogram, have been used to achieve proper synchronization. Since gating signals are either unavailable or cumbersome to acquire in microscopic organisms, we have developed a procedure to reconstruct volumes based solely on the information contained in the image sequences. The central part of the algorithm is a least-squares minimization of an objective criterion that depends on the similarity between the data from neighboring depths. Owing to a wavelet-based multiresolution approach, our method is robust to common confocal microscopy artifacts. We validate the procedure on both simulated data and in vivo measurements from living zebrafish embryos.

show abstract

Section: Introductionmentioning

confidence: 99%

Four-dimensional cardiac imaging in living embryos via postacquisition synchronization of nongated slice sequences

et al. 2005

View full text Add to dashboard Cite

show abstract

“…For the data sets we used there appeared to be negligible rotation motion. Others have corrected for translational and rotational motion and used results obtained from manual registration without rotation as the gold standard (6,8). Bidaut and Vallee (6) reported that the relative motion of the anatomical landmarks at the extremities and center of the mid-wall segment is reduced compared to manual registration after correction for rotational motion is incorporated.…”

Section: Discussionmentioning

confidence: 99%

“…Gallippi et al (7) correct for motion using a statistical approach whereby an image in the temporal center of the sequence is chosen as the reference, and the images are registered using a matching metric based on intensity variations and edge directions. Dornier et al (8) minimize the mean squared difference proposed in (9) between the perfusion images within tightly cropped myocardial masks. Bracoud et al (10) use the mutual information (11) metric to register.…”

mentioning

confidence: 99%

Model‐based registration for dynamic cardiac perfusion MRI

Adluru

DiBella

Schabel

2006

Magnetic Resonance Imaging

View full text Add to dashboard Cite

Purpose:To assess the accuracy of a model-based approach for registration of myocardial dynamic contrastenhanced (DCE)-MRI corrupted by respiratory motion. Materials and Methods:Ten patients were scanned for myocardial perfusion on 3T or 1.5T scanners, and short-and long-axis slices were acquired. Interframe registration was done using an iterative model-based method in conjunction with a mean square difference metric. The method was tested by comparing the absolute motion before and after registration, as determined from manually registered images. Regional flow indices of myocardium calculated from the manually registered data were compared with those obtained with the model-based registration technique. Results:The mean absolute motion of the heart for the short-axis data sets over all the time frames decreased from 5.3 Ϯ 5.2 mm (3.3 Ϯ 3.1 pixels) to 0.8 Ϯ 1.3 mm (0.5 Ϯ 0.7 pixels) in the vertical direction, and from 3.0 Ϯ 3.7 mm (1.7 Ϯ 2.1 pixels) to 0.9 Ϯ 1.2 mm (0.5 Ϯ 0.7 pixels) in the horizontal direction. A mean absolute improvement of 77% over all the data sets was observed in the estimation of the regional perfusion flow indices of the tissue as compared to those obtained from manual registration. Similar results were obtained with two-chamber-view long-axis data sets. Conclusion:The model-based registration method for DCE cardiac data is comparable to manual registration and offers a unique registration method that reduces errors in the quantification of myocardial perfusion parameters as compared to those obtained from manual registration. DYNAMIC MR EVALUATION of myocardial perfusion is becoming a powerful tool for the detection of coronary artery disease (1-3). The standard approach is to rapidly acquire T1-weighted images to track the uptake and washout of the contrast agent Gd-DTPA. Multiple 2D images are acquired each heartbeat. The slices are acquired using ECG-gated sequences so that a given slice is always acquired during the same phase of the cardiac cycle. The time-series data are analyzed visually or with semiquantitative or quantitative models (4,5). Depending on the analysis technique used, at least 20 -40 seconds of data are needed to determine regional perfusion values in the left ventricular (LV) myocardium. Many patients cannot hold their breath long enough to provide a motion-free study. A breathhold of any appreciable length becomes more difficult when pharmacological stress is induced by vasodilating agents, which is necessary for detection of coronary artery disease. Respiration causes motion of the heart, which makes qualitative visual analysis difficult and can cause incorrect estimation of semiquantitative and quantitative parameters.A number of registration methods have been proposed to correct the motion of the heart in dynamic contrast MRI acquisitions (6 -10). In the method of Bidaut and Vallee (6), the mean squared difference between images in the perfusion sequence and a reference image in a region defined by a cardiac mask is minimized. The initial reference image is c...

show abstract

“…Registration was then achieved through translation only. In (Dornier et al, 2003) two methods where described that would either use simple rectangular masks around the myocardium or an optimal masks, where the area with the high intensity change where eliminated as well. Rigid registration was then achieved by employing a spline-based multi-resolution scheme and optimizing the sum of squared differences.…”

Section: State Of the Artmentioning

confidence: 99%