A hybrid method for traumatic brain injury lesion segmentation

<span>Traumatic brain injuries are significant effects of disability and loss of life. Physicians employ computed tomography (CT) images to observe the trauma and measure its severity for diagnosis and treatment. Due to the overlap of hemorrhage and normal brain tissues, segmentation methods sometimes lead to false results. The study is more challenging to unitize the AI field to collect brain hemorrhage by involving patient datasets employing CT scans images. We propose a novel technique free-form object model for brain injury CT image segmentation based on superpixel image processing that uses CT to analyzing brain injuries, quite challenging to create a high outstanding simple linear iterative clustering (SLIC) method. The maintains a strategic distance of the segmentation image to reduced intensity boundaries. The segmentation image contains marked red hemorrhage to modify the free-form object model. The contour labelled by the red mark is the output from our free-form object model. We proposed a hybrid image segmentation approach based on the combined edge detection and dilation technique features. The approach diminishes computational costs, and the show accomplished 96.68% accuracy. The segmenting brain hemorrhage images are achieved in the clustered region to construct a free-form object model. The study also presents further directions on future research in this domain.</span>

Region Detection and Segmentation of Brain Hemorrhage using Algorithmic Approach of Image Processing

Brain is one of the most important part of the body. Brain Hemorrhage is a severe head injury that deteriorates the performance and function of an individual. Brain Hemorrhage can be detected through CT (Computer Tomography) scan of the brain. CT scan uses narrow X-ray beam which rotates around the part of the body and provides a set of images from different angles and the computer creates a cross-sectional view. It is challenging to detect and segment the region of the brain having Hemorrhage. Hence an automated system would be handy at those times. In the proposed work an attempt has been made to segment and identify the hemorrhaged region of the brain in the CT scan slices of the image. Brain hemorrhage segmentation helps to identify the region of brain hemorrhage which in turn helps to treat the patients at an early stage. The region of brain hemorrhage is appropriately identified from the proposed algorithm.

The impact of perindopril and metformin on the markers of endothelial dysfunction in rats with acute intracerebral hemorrhage and type 2 diabetes mellitus

This comparative research is aimed to study the effect of perindopril and metformin on the levels of biochemical markers of endothelial dysfunction in rats with type 2 diabetes mellitus (T2DM) complicated by a brain hemorrhage. The study was carried out on 30 white male Wistar rats. T2DM was simulated by a single intraperitoneal injection of nicotinamide and streptozotocin (NA/STZ). Intracerebral hemorrhage (ICH) was induced by microinjection of 1 μL of bacterial collagenase 0.2 IU/μL into the striatum on the 60th day of the experiment. Animals were randomized into 5 groups: A – negative control (intact, n=6); B – positive control 1 (NA/STZ, n=6); C – positive control 2 (NA/STZ+ICH, n=6); D – perindopril (“Prestarium”, 2 mg/kg+NA/STZ+ICH, n=6); E – metformin (“Siofor”, 250 mg/kg+NA/STZ+ICH, n=6). The studied drugs were administered intragastrically for 20 days, starting from the 50th day after the induction of T2DM. Endothelial function was assessed by the content of homocysteine (Hcy), advanced glycation end products (AGEs), endothelin-1 (ET-1), and von Willebrand factor (vWF) in blood serum. It was found that long-term separate T2DM is accompanied by hyperhomocysteinemia, as well as an increase in AGEs, ET-1, and vWF levels, indicating dysregulation of the hemostasis system and vascular tone. It should be noted that brain hemorrhage in T2DM can enhance these manifestations, although the obtained differences were characterized only by a persistent trend. At the same time, the effect of perindopril was limited only by a significant decrease in AGEs levels by 31.2% (p<0.05). In turn, the action of metformin was characterized by a positive glycemic control, as well as an effect on the state of the vascular endothelium, namely, a significant decrease in AGEs, ET-1 and vWF levels by 37.6% (p<0.05); 5.5% (p<0.05) and 9.5% (p<0.05), respectively. It was also found that the endotheliotropic properties of the studied drugs were not associated with an effect on homocysteine levels. Thus, metformin in conditions of diabetes mellitus complicated by acute intracerebral hemorrhage has advantages over perindopril in relation to endothelial dysfunction.

Loss of iqgap1 (IQ Motif Containing GTPase Activating Protein 1) in Zebrafish Leads to Intracerebellar Hemorrhage, Morphological Abnormalities and Activates Hematopoietic Response

Defects in multiple cell signaling molecules lead to disruptions of vascular integrity given the need for fine-tuned regulation of the cell adhesion complexes. These genetic defects have been linked to the development of intracerebral hemorrhage (ICH). There is genetic evidence in humans for ICH due to some genetic variants, while other variants have been identified in preclinical animal models. Signaling adaptor proteins play a crucial role in cell signaling by promoting interactions between effector proteins and even enabling integration of different pathways. IQGAP1 is a conserved signaling adaptor known for its roles in cell adhesion, cancer and for other cell biological effects. We engineered a zebrafish null mutant in the zebrafish iqgap1 gene by introducing an 11-bp deletion using a CRISPR/Cas9 genome editing method and characterized its phenotype. Homozygous mutants exhibit severe brain hemorrhage and morphological abnormalities, which are ultimately lethal, in about 30-40% of cases, whereas the other embryos survive to adulthood. We visualized the expression pattern of iqgap1 relative to the established fli1a vascular marker and found that iqgap1 strongly overlapped with fli1a expression, but was expressed much more broadly in tissues, such as muscle, branchial arches, and the caudal hematopoietic tissue (equivalent to the mammalian fetal liver). Critically, iqgap1 exhibited co-localization with fli1a in the blood vessels of the central nervous system, whose disruption is likely responsible for the brain hemorrhage. Whole embryo RNA sequencing-based comparison of hemorrhage-positive iqgap1-/- embryo pools with wild-type embryos at 52 hours post-fertilization (hpf) shortly after the onset of hemorrhage identified approximately 800 differentially regulated genes. The most striking feature of this dataset was up-regulation of hematopoietic markers especially those of erythrocytes, neutrophils, mast cells and HSPCs (hematopoietic stem and progenitor cells), but not macrophages. We have confirmed by in situ hybridization with marker gene probes that erythrocyte and neutrophil production is up-regulated most strongly in iqgap1-/- embryos undergoing some level of hemorrhage. By contrast, fli1a endothelial and stem cell marker was downregulated. This animal model provides a compelling genotype-phenotype correlation, implicating IQGAP1 as a new player in vascular disorders such as ICH and identifying a previously unrecognized relationship between IQGAP and regulation of hematopoiesis. Furthermore, this model is now poised to identify ameliorating and exacerbating modifier lesions and potential therapeutic agents that restore normal vascular integrity and prevent ICH. Disclosures Robitaille: Novartis: Consultancy. Berman: Oxford Immune Algorithmics: Membership on an entity's Board of Directors or advisory committees.