Volume rendering of peripancreatic vasculature using biphasic spiral CT data

Absztrakt A szerzők a világirodalmi ritkaságnak számító atraumaticus (spontán) mellkasfali tüdősérvet ismertetik. Két operált betegük kapcsán bemutatják a sérv kialakulását elősegítő körülményeket és a kórkép klinikai jellemzőit. Mindkét betegük spontán mellkasfali (intercostalis) sérvét chronicus obstructiv syndroma (COPD) okozta makacs köhögés váltotta ki. Az elvégzett multislice spirál CT (MSCT) vizsgálat, valamint a speciális szoftver segítségével készített másodlagos 3D „volume-rendering” (VRT) rekonstrukciós képek egyértelműen utaltak a ritka kórformára. Az MSCT-vizsgálatok a Kaposi Mór Oktató Kórházban készültek, Siemens Somatom Emotion 6 MSCT-berendezéssel. A pontos diagnózis birtokában végzett mellkasfali korrekciók tartós gyógyuláshoz vezettek. A szerzők röviden ismertetik a mellkasfali sérvekkel kapcsolatos hazai és fontosabb külföldi irodalmi vonatkozásokat. A kórkép rendkívüli ritkasága ellenére a kialakulásában szerepet játszó COPD elterjedtsége miatt érdemel figyelmet. A hasonló esetek diagnosztikájában nagy segítséget jelenthet a bemutatott korszerű képalkotó eljárás alkalmazása.

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Computerized Modeling Based on Spiral CT Data for Noninvasive Determination of Aortic Stent-Graft Length

Journal of Endovascular Therapy ◽

10.1583/1545-1550(2002)009<0520:cmbosc>2.0.co;2 ◽

2002 ◽

Vol 9 (4) ◽

pp. 520-528 ◽

Cited By ~ 2

Author(s):

Albert Rott ◽

Thomas Boehm ◽

Joachim Söldner ◽

Jürgen R. Reichenbach ◽

Jürgen Heyne ◽

...

Keyword(s):

Stent Graft ◽

Spiral Ct ◽

Aortic Stent Graft ◽

Ct Data ◽

Graft Length

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Multiplanar display of spiral CT data of the pulmonary hila in patients with lung cancer. Preliminary observations

Lung Cancer ◽

10.1016/0169-5002(96)87808-1 ◽

1996 ◽

Vol 14 (2-3) ◽

pp. 393

Keyword(s):

Lung Cancer ◽

Spiral Ct ◽

Ct Data

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Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans

International Journal of Biomedical Imaging ◽

10.1155/2013/517632 ◽

2013 ◽

Vol 2013 ◽

pp. 1-11 ◽

Cited By ~ 15

Author(s):

Ayman El-Baz ◽

Ahmed Elnakib ◽

Mohamed Abou El-Ghar ◽

Georgy Gimel'farb ◽

Robert Falk ◽

...

Keyword(s):

Template Matching ◽

Automatic Detection ◽

Spiral Ct ◽

Lung Nodules ◽

Data Sets ◽

Genetic Optimization ◽

Anatomical Structures ◽

Lung Abnormalities ◽

Ct Data ◽

2D And 3D

Automatic detection of lung nodules is an important problem in computer analysis of chest radiographs. In this paper, we propose a novel algorithm for isolating lung abnormalities (nodules) from spiral chest low-dose CT (LDCT) scans. The proposed algorithm consists of three main steps. The first step isolates the lung nodules, arteries, veins, bronchi, and bronchioles from the surrounding anatomical structures. The second step detects lung nodules using deformable 3D and 2D templates describing typical geometry and gray-level distribution within the nodules of the same type. The detection combines the normalized cross-correlation template matching and a genetic optimization algorithm. The final step eliminates the false positive nodules (FPNs) using three features that robustly define the true lung nodules. Experiments with 200 CT data sets show that the proposed approach provided comparable results with respect to the experts.

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Value of 3D-Volume Rendering in the Assessment of Coronary Arteries with Retrospectively Ecg-Gated Multislice Spiral Ct

Acta Radiologica ◽

10.1034/j.1600-0455.2003.00057.x ◽

2003 ◽

Vol 44 (3) ◽

pp. 302-309 ◽

Cited By ~ 18

Author(s):

A. H. Mahnken ◽

J. E. Wildberger ◽

A. M. Sinha ◽

K. Dedden ◽

S. Stanzel ◽

...

Keyword(s):

Coronary Arteries ◽

Volume Rendering ◽

Spiral Ct ◽

Multislice Spiral Ct ◽

3D Volume ◽

3D Volume Rendering

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Value of 3D-volume rendering in the assessment of coronary arteries with retrospectively ECG-gated multislice spiral CT

Acta Radiologica ◽

10.1080/j.1600-0455.2003.00057.x ◽

2003 ◽

Vol 44 (3) ◽

pp. 302-309 ◽

Cited By ~ 12

Author(s):

A. H. Mahnken ◽

J. E. Wildberger ◽

A. M. Sinha ◽

K. Dedden ◽

S. Stanzel ◽

...

Keyword(s):

Coronary Artery ◽

Coronary Arteries ◽

Volume Rendering ◽

Spiral Ct ◽

Diagnostic Value ◽

Multislice Spiral Ct ◽

Mean Differences ◽

3D Volume ◽

3D Volume Rendering ◽

Msct Angiography

Purpose: To assess the diagnostic value and measurement precision of 3D volume rendering technique (3D-VRT) from retrospectively ECG-gated multislice spiral CT (MSCT) data sets for imaging of the coronary arteries. Material and Methods: In 35 patients, retrospectively ECG-gated MSCT of the heart using a four detector row MSCT scanner with a standardized examination protocol was performed as well as quantitative X-ray coronary angiography (QCA). The MSCT data was assessed on segmental basis using 3D-VRT exclusively. The coronary artery diameters were measured at the origin of each main coronary branch and 1 cm, 3 cm and 5 cm distally. The minimum, maximum and mean diameters were determined from MSCT angiography and compared to QCA. Results: A total of 353 of 525 (67.2%) coronary artery segments were assessable by MSCT angiography. The proximal segments were more often assessable when compared to the distal segments. Stenoses were detected with a sensitivity of 82.6% and a specificity of 92.8%. According to the Bland-Altmanmethod the mean differences between QCA and MSCT ranged from −0.55 to 1.07 mm with limits of agreement from −2.2 mm to −2.7 mm. Conclusion: When compared to QCA, the ability of 3D-VRT to quantitatively assess coronary artery diameters and coronary artery stenoses is insufficient for clinical purposes.

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