Automatic Segmentation of Blood Vessels from Dynamic MRI Datasets

Kubassova, Olga

doi:10.1007/978-3-540-75757-3_72

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…A statistically significant difference between morphometric parameters, such as arterial distensibility has been shown between Sprague-Dawley control SDC and CH (SDH) lungs [7]. Similar morphological changes are illustrated by the differences seen between a SDC and SDH rat analyzed with the AVDMA protocol as shown in Figures 14E and 14F.…”

Section: Validationsupporting

confidence: 59%

Automation process for morphometric analysis of volumetric CT data from pulmonary vasculature in rats

Shingrani

Krenz

Molthen

2010

Computer Methods and Programs in Biomedicine

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With advances in medical imaging scanners, it has become commonplace to generate large multidimensional datasets. These datasets require tools for a rapid, thorough analysis. To address this need, we have developed an automated algorithm for morphometric analysis incorporating A Visualization Workshop computational and image processing libraries for three-dimensional segmentation, vascular tree generation and structural hierarchical ordering with a two-stage numeric optimization procedure for estimating vessel diameters. We combine this new technique with our mathematical models of pulmonary vascular morphology to quantify structural and functional attributes of lung arterial trees. Our physiological studies require repeated measurements of vascular structure to determine differences in vessel biomechanical properties between animal models of pulmonary disease. Automation provides many advantages including significantly improved speed and minimized operator interaction and biasing. The results are validated by comparison with previously published rat pulmonary arterial micro-CT data analysis techniques, in which vessels were manually mapped and measured using intense operator intervention.

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Section: Validationsupporting

confidence: 59%

Automation process for morphometric analysis of volumetric CT data from pulmonary vasculature in rats

Shingrani

Krenz

Molthen

2010

Computer Methods and Programs in Biomedicine

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“…The use of volumetric principal component maps, volumetric template matching, volume and volumetric eccentricity criteria reduce false-positive detection rates arising from artefacts caused by enhancing blood vessels, nipples and normal parenchyma. Principal component analysis has found several application areas in DCE-MRI such as visualization of suspiciously enhancing regions (Twellmann et al 2004), assessment of breast density Leach 2009b, Khazen and, registration of dynamic images to correct patient motion (Melbourne et al 2007) and segmentation of blood vessels (Kubassova 2007). Any of these methods can be easily embedded into the system introduced in this study enabling multiple diagnostic assessments for improved evaluations.…”

Section: Discussionmentioning

confidence: 99%

Computerized detection of breast lesions in multi-centre and multi-instrument DCE-MR data using 3D principal component maps and template matching

Ertas¹,

Doran

Leach

2011

Phys. Med. Biol.

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In this study, we introduce a novel, robust and accurate computerized algorithm based on volumetric principal component maps and template matching that facilitates lesion detection on dynamic contrast-enhanced MR. The study dataset comprises 24,204 contrast-enhanced breast MR images corresponding to 4034 axial slices from 47 women in the UK multi-centre study of MRI screening for breast cancer and categorized as high risk. The scans analysed here were performed on six different models of scanner from three commercial vendors, sited in 13 clinics around the UK. 1952 slices from this dataset, containing 15 benign and 13 malignant lesions, were used for training. The remaining 2082 slices, with 14 benign and 12 malignant lesions, were used for test purposes. To prevent false positives being detected from other tissues and regions of the body, breast volumes are segmented from pre-contrast images using a fast semi-automated algorithm. Principal component analysis is applied to the centred intensity vectors formed from the dynamic contrast-enhanced T1-weighted images of the segmented breasts, followed by automatic thresholding to eliminate fatty tissues and slowly enhancing normal parenchyma and a convolution and filtering process to minimize artefacts from moderately enhanced normal parenchyma and blood vessels. Finally, suspicious lesions are identified through a volumetric sixfold neighbourhood connectivity search and calculation of two morphological features: volume and volumetric eccentricity, to exclude highly enhanced blood vessels, nipples and normal parenchyma and to localize lesions. This provides satisfactory lesion localization. For a detection sensitivity of 100%, the overall false-positive detection rate of the system is 1.02/lesion, 1.17/case and 0.08/slice, comparing favourably with previous studies. This approach may facilitate detection of lesions in multi-centre and multi-instrument dynamic contrast-enhanced breast MR data.

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“…8г). Дальнейшая разработка этих методик позволит в 3D-режиме изображать артериальную и венозную систему в разном цвете и даже визулизировать внутрипросветные структуры, такие как венозные клапаны или атеросклеротические бляшки [84][85][86][87][88]. Не вдаваясь в подробности, можно заключить, что в основе всех этих методов визуализации сосудистой системы лежит создание нового программного обеспечения считывания MRI-сиг на лов, их постобработки и построения на этой основе качественно нового и даже цветовго 3D-изображения.…”

Section: заключениеunclassified

MRI and CT venography in the diagnosis of hemodynamic disorders in patients suffering from the lower extremities veins chronic diseases Part I. Possibilities of MRI in visualization of the vascular blood flow of the lower extremities

Shajdakov

Sannikov

Emelyanenko

et al. 2020

Medicinskaâ vizualizaciâ

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Despite the fact that most vascular surgeons in Russia rarely use magnetic resonance imaging (MRI) in their daily practice, today interest in this method of imaging among specialists in the world is steadily increasing. This is due to the desire of clinicians to have another non – invasive method for diagnosing hemodynamic disorders of both the arterial (Magnetic Resonance Angiography – MRA) and venous vascular bed (Magnetic Resonance Venography – VRA). The development of these methods today is associated with the solution of many technical problems, the development of special pulse sequences and post-processing methods for the resulting image. This literature review analyzes published scientific data on the methodology of MRI in relation to the vascular system and the choice of optimal scanning modes. Taking into consideration the fact that this material is intended primarily for vascular surgeons and phlebologists, and not radiologists, the first part summarizes the basic understanding of the physical phenomena underlying the MRI image, without which a thoughtful analysis of the advantages and disadvantages of MR-Angiography and the search for the most optimal scanning mode for MR-Venography is not possible. Based on the constant desire of clinicians to be self-educated, it seems that this part of the presented material will not be difficult to understand. When describing the developed contrast-free and contrast-free MRA methods, attention is paid to the traditional methods of image processing in 2D mode (TOF, PC) using pulse sequences: spin echo (SE), multi-echo (SE T2), turbo spin echo (TSE), fast Advanced Spin Echo (fast Advanced Spin Echo-FASE), gradient echo (Gradient Echo-GE, GRE) and inversion recovery (Inversion Recovery-IR). In addition, the focus is on the most modern solu tions, including: multiplantar reformatting (MPR), maximum intensity projection (MIP), subvolume maximum intensity, surface rendering (SR), volume rendering (VR) and virtual intraluminal endoscopy (VIE). For all the methods used today, MR-Angiography is shown to be specific and informative, with a detailed analysis of the advantages and disadvantages. The nuances of understanding the resulting angiographic image in T1 and T2-weighted images and the phenomena of “bright blood” and “black blood” are shown. Since the absence of information or a brief mention only about the possibilities of using MRI in the diagnosis of hemodynamic disorders in patients with vascular pathology in Russian scientific literature it seems that this material is relevant and will arouse some interest from various specialists. Of particular interest is the potential use of contrast-free and contrast – free MR Angiography in the study of venous pathology of the lower extremities and pelvis, especially with regard to timely and accurate diagnosis of deep venous thrombosis (deep Vein Thrombosis-DVT) and venous thromboembolism (Venous Thrombosis – Embolism – VTE), which occupy a special position in the structure of patients with chronic venous Disorders of the lower extremities (Chronic Venous Disorders-CVD).

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Automatic Segmentation of Blood Vessels from Dynamic MRI Datasets

Cited by 4 publications

References 18 publications

Automation process for morphometric analysis of volumetric CT data from pulmonary vasculature in rats

Automation process for morphometric analysis of volumetric CT data from pulmonary vasculature in rats

Computerized detection of breast lesions in multi-centre and multi-instrument DCE-MR data using 3D principal component maps and template matching

MRI and CT venography in the diagnosis of hemodynamic disorders in patients suffering from the lower extremities veins chronic diseases Part I. Possibilities of MRI in visualization of the vascular blood flow of the lower extremities

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