Vessel Visualization with Volume Rendering

Kubisch, Christoph; Glaßer, Sylvia; Neugebauer, Martin; Preim, Bernhard

doi:10.1007/978-3-642-21608-4_7

Cited by 20 publications

(18 citation statements)

References 25 publications

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“…The main focus of this work [24] is to develop automatic transfer function capable of highlighting the pathological changes in the arteries that leads to clear visualization of soft plaques inside vessels. The direct volume rendering (DVR) represents vascular structures more realistically [25], hence automated transfer function can aid accurate interpretation in DVR. A total of 63 CTA datasets were evaluated in this work and detected soft plaques are in correspondence with expert's manual identification.…”

Section: Automatic Transfer Function Specification For Visual Emphmentioning

confidence: 99%

A Review of the State-of-the-Art Methods for Non-calcified Plaque Detection in Cardiac CT Angiography

Jawaid¹,

Narejo²,

Qureshi³

et al. 2018

IJCTE

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The non-invasive diagnosis for cardiac abnormalities has been turned into a reality in recent years. This is based on the fact that advanced imaging equipment can acquire sub-millimeter details of the internal organs. An important example is the use of state-of-the-art computed tomography (CT) as a substitute of conventional catheterization. It is interesting that calcium-based vascular deposits can be quickly identified in CT; however, non-calcified plaque detection remains a challenging task due to lower intensity values. In this context, a number of methods have been reported for efficient detection and segmentation of non-calcified plaques in recent years. In order to advance the existing knowledge and extend the operational efficiency in this domain, it is extremely important to review the state-of-the-art literature. Accordingly, we present a comprehensive review of non-calcified plaque detection method in this paper presents. We believe that this can serve as a starting point towards productive clinical research in this domain.Index Terms-Coronary segmentation, non-calcified plaques, plaque detection.

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Section: Automatic Transfer Function Specification For Visual Emphmentioning

confidence: 99%

A Review of the State-of-the-Art Methods for Non-calcified Plaque Detection in Cardiac CT Angiography

Jawaid¹,

Narejo²,

Qureshi³

et al. 2018

IJCTE

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“…In a surgical operation of PMCT and RFA, the puncture starting point and the path to the puncture target can be easily guided using a US echo mapped image [15,16]. At present endoscopic surgery mainly depends on US elastography imaging, however, CT image guided surgery was once performed in the past [17][18][19]. It is necessary to add a touch sensor in addition to a basic function to a forceps used for an endoscopic operation and laparoscopic surgery.…”

Section: Open Accessmentioning

confidence: 99%

CT Elastography: A Pilot Study via a New Endoscopic Tactile Sensor

Sasaki¹,

Haruta²,

Omata³

2014

OJBIPHY

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Objective: To develop a CT elastography imaging system useful for part of the human body in which ultrasound is not capable of reaching. The proposed system would measure CT modality through fusion of the stiffness mapping on the images by the tactile sensor system, improving precision of the endoscopic operation. Methods: We made some liver fibrosis phantoms of bovine skin gelatin with various densities as the target organ of the study. Using the tactile sensor system, which requires no compression during endoscopic operation, stiffness of each phantoms was measured. The resulting stiffness vs density curve was evaluated and translated to the stiffness vs CT number (Houndsfield Unit, HU) curve with a CT number vs density curve obtained by CT scan of the phantoms. A transformation formula can be deduced from these curves to the elasticity via CT number, which was confirmed in vitro with pig liver and in vivo CT scan data. Results: The stiffness and CT modality of each phantom was successfully measured and subjected to constant reduction. The CT value shows a linear relationship with the ROI values of the livers used. Conclusion: This paper reports method of supplementing stiffness information measured by a tactile sensor system, with a CT image for use with an endoscope. It is shown that CT number can be derived with a stiffness sensor and CT data in endoscopic surgery. From there results, we prove the possibility of measuring stiffness with CT and high resolution CT number.

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“…Numerous studies on modeling and analysis of vessel structures have been proposed, ranging from vessel segmentation (Lesage et al, 2009), vessel structure tracking (Friman et al, 2009), to the 3D visualization of vascular structures (Kubisch et al, 2012). However, these investigations are limited to either radiology images (such as Computed Tomography, and Magnetic Resonance Imaging), or 3D contrast-enhanced imaging modalities (including Computed Tomography Angiography and Magnetic Resonance Angiography).…”

Section: Introductionmentioning

confidence: 99%

A framework for 3D vessel analysis using whole slide images of liver tissue sections

Liang

Wang

Treanor

et al. 2016

IJCBDD

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Three-dimensional (3D) high resolution microscopic images have high potential for improving the understanding of both normal and disease processes where structural changes or spatial relationship of disease features are significant. In this paper, we develop a complete framework applicable to 3D pathology analytical imaging, with an application to whole slide images of sequential liver slices for 3D vessel structure analysis. The analysis workflow consists of image registration, segmentation, vessel cross-section association, interpolation, and volumetric rendering. To identify biologically-meaningful correspondence across adjacent slides, we formulate a similarity function for four association cases. The optimal solution is then obtained by constrained Integer Programming. We quantitatively and qualitatively compare our vessel reconstruction results with human annotations. Validation results indicate a satisfactory concordance as measured both by region-based and distance-based metrics. These results demonstrate a promising 3D vessel analysis framework for whole slide images of liver tissue sections.

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Vessel Visualization with Volume Rendering

Cited by 20 publications

References 25 publications

A Review of the State-of-the-Art Methods for Non-calcified Plaque Detection in Cardiac CT Angiography

A Review of the State-of-the-Art Methods for Non-calcified Plaque Detection in Cardiac CT Angiography

CT Elastography: A Pilot Study via a New Endoscopic Tactile Sensor

A framework for 3D vessel analysis using whole slide images of liver tissue sections

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