Volumetric depth peeling for medical image display

Borland, David; Clarke, John P.; Taylor, Russell M.

doi:10.1117/12.641497

Cited by 6 publications

(4 citation statements)

References 31 publications

(19 reference statements)

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“…In this way, the full range of volumetric effects can be achieved. Inspired by this, David et al utilize volumetric depth peeling for medical image visualization, which is flexible enough to handle multiple region occlusion and object's self‐occlusion and requires no pre‐segmentation over the dataset. Based on depth peeling method, the joint surface occlusion problem has been solved, which has been successfully used in urology and visual arthroscopic studies .…”

Section: Related Workmentioning

confidence: 99%

“…Inspired by this, David et al utilize volumetric depth peeling for medical image visualization, which is flexible enough to handle multiple region occlusion and object's self‐occlusion and requires no pre‐segmentation over the dataset. Based on depth peeling method, the joint surface occlusion problem has been solved, which has been successfully used in urology and visual arthroscopic studies . However, the classical depth peeling algorithm has performance bottleneck for large and complex scenes; to improve it, Fang et al exploit multiple render targets as bucket array in pixel‐wise way.…”

Section: Related Workmentioning

confidence: 99%

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Novel fluid detail enhancement based on multi‐layer depth regression analysis and FLIP fluid simulation

Qiu

Yang

et al. 2016

Computer Animation & Virtual

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In this paper, we propose a novel integrated method for effective modeling and realistic enhancement of scale-sensitive fluid simulation details. The core of our method is the organic of multi-layer depth image regression analysis and fluid implicit particle fluid simulation of which the regression analysis induces the criterion where the fluid details should be produced. First, we capture the depth buffer of the fluid surface dynamically from the top of scene. Second, we employ depth peeling technique to decompose the target fluid volume into multiple depth layers and conduct time-space analysis over surface layers. Third, we propose a logistic regression-based model to rigorously pinpoint the complex interacting regions, wherein multiple detail-relevant factors are taken into account based on the captured multiple depth layers. Finally, details are enhanced by animating extra diffuse materials and augmenting the air-fluid mixing phenomenon. It is evident that, with depth peeling technology, we can afford rigorous analysis not only across surface layers at different fluid depth but along the depth direction as well. After integrating the analysis results from these two sources, we are capable of performing detail enhancement both on the fluid surface and inside the fluid to obtain a great visual effect, even when large occlusion exists. Directly benefiting from the flexibility of image-space-dominant processing, our unified framework can be entirely implemented on graphics processing units and thus achieves interactive performance. For various fluid phenomena with different diffuse materials (e.g., spray, foam, and bubble), comprehensive experiments and evaluations have demonstrated its superiority in high-fidelity fluid detail enhancement and its interaction with surrounding environment. KEYWORDS depth peeling, FLIP, fluid detail enhancement, GPU, image space method, time-space analysis model

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Novel fluid detail enhancement based on multi‐layer depth regression analysis and FLIP fluid simulation

Qiu

Yang

et al. 2016

Computer Animation & Virtual

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“…For medical applications many adaptive and semi-adaptive DVR-like techniques have been proposed for enhancing anatomical structures. [20][21][22][23] For ultrasound, Hönigmann et al 24 proposed how to design a global adaptive OTF used to visualize volumetric fetal images. They also discussed the possibility of calculating one OFT for different regions in the rendering.…”

Section: Introductionmentioning

confidence: 99%

Adaptive volume rendering of cardiac 3D ultrasound images: utilizing blood pool statistics

Åsen

Steen²,

Kiss

et al. 2012

SPIE Proceedings

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In this paper we introduce and investigate an adaptive direct volume rendering (DVR) method for real-time visualization of cardiac 3D ultrasound. DVR is commonly used in cardiac ultrasound to visualize interfaces between tissue and blood. However, this is particularly challenging with ultrasound images due to variability of the signal within tissue as well as variability of noise signal within the blood pool. Standard DVR involves a global mapping of sample values to opacity by an opacity transfer function (OTF). While a global OTF may represent the interface correctly in one part of the image, it may result in tissue dropouts, or even artificial interfaces within the blood pool in other parts of the image. In order to increase correctness of the rendered image, the presented method utilizes blood pool statistics to do regional adjustments of the OTF. The regional adaptive OTF was compared with a global OTF in a dataset of apical recordings from 18 subjects. For each recording, three renderings from standard views (apical 4-chamber (A4C), inverted A4C (IA4C) and mitral valve (MV)) were generated for both methods, and each rendering was tuned to the best visual appearance by a physician echocardiographer. For each rendering we measured the mean absolute error (MAE) between the rendering depth buffer and a validated left ventricular segmentation. The difference d in MAE between the global and regional method was calculated and t-test results are reported with significant improvements for the regional adaptive method (d A4C = 1.5 ± 0.3 mm,d IA4C = 2.5 ± 0.4 mm,d MV = 1.7 ± 0.2 mm, d.f. = 17, all p < 0.001). This improvement by the regional adaptive method was confirmed through qualitative visual assessment by an experienced physician echocardiographer who concluded that the regional adaptive method produced rendered images with fewer tissue dropouts and less spurious structures inside the blood pool in the vast majority of the renderings. The algorithm has been implemented on a GPU, running an average of 16 fps with a resolution of 512x512x100 samples (Nvidia GTX460).

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“…As an example Figure 4 illustrates depth-peeling in a simple 2-D sketch. This technique finds its application in several topics of computer graphics such as smooth shadow mapping [13], volume rendering [14] and ray-casting [15]. The drawback of this approach is that for each layer the whole scene has to be redrawn which results into N render passes for N layers.…”

Section: Transparencymentioning

confidence: 99%

Cryo-balloon catheter position planning using AFiT

et al. 2012

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Abstract. Atrial fibrillation (AFib) is the most common heart arrhythmia. In certain situations, it can result in life-threatening complications such as stroke and heart failure. For paroxsysmal AFib, pulmonary vein isolation (PVI) by catheter ablation is the recommended choice of treatment if drug therapy fails. During minimally invasive procedures, electrically active tissue around the pulmonary veins is destroyed by either applying heat or cryothermal energy to the tissue. The procedure is usually performed in electrophysiology labs under fluoroscopic guidance. Besides radio-frequency catheter ablation devices, so-called single-shot devices, e.g., the cryothermal balloon catheters, are receiving more and more interest in the electrophysiology (EP) community. Single-shot devices may be advantageous for certain cases, since they can simplify the creation of contiguous (gapless) lesion sets around the pulmonary vein which is needed to achieve PVI. In many cases, a 3-D (CT, MRI, or C-arm CT) image of a patient's left atrium is available. This data can then be used for planning purposes and for supporting catheter navigation during the procedure. Cryo-thermal balloon catheters are commercially available in two different sizes. We propose the Atrial Fibrillation Planning Tool (AFiT), which visualizes the segmented left atrium as well as multiple cryo-balloon catheters within a virtual reality, to find out how well cryo-balloons fit to the anatomy of a patient's left atrium. First evaluations have shown that AFiT helps physicians in two ways. First, they can better assess whether cryoballoon ablation or RF ablation is the treatment of choice at all. Second, they can select the proper-size cryo-balloon catheter with more confidence.Keywords: Atrial Fibrillation, Visualization, Catheter Ablation Planning, Electrophysiology, Cryo-balloon DESCRIPTION OF PURPOSEAs atrial fibrillation (AFib) is the most common heart arrhythmia [1], a lot of clinical and technical research focuses on how to improve the treatment further. In the past decade, pulmonary vein isolation (PVI) by catheter ablation has proven to be a safe and effective approach for dealing with paroxysmal AFib [2,3]. The goal of PVI is the electrical isolation of the left atrium (LA) from the pulmonary veins (PVs) to prevent propagation of electrical signals, which do not belong to the heart conduction system, from the PVs into the left atrium (LA). Isolation is achieved by creating a contiguous transmural lesions around the PVs with an ablation catheter. Besides radio-frequency (RF) catheter ablation which is currently the most common method, the use of single-shot devices is increasing. Compared to a point-by-point RF ablation strategy,

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Volumetric depth peeling for medical image display

Cited by 6 publications

References 31 publications

Novel fluid detail enhancement based on multi‐layer depth regression analysis and FLIP fluid simulation

Novel fluid detail enhancement based on multi‐layer depth regression analysis and FLIP fluid simulation

Adaptive volume rendering of cardiac 3D ultrasound images: utilizing blood pool statistics

Cryo-balloon catheter position planning using AFiT

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