Inventi Impact - Biomedical Imaging
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Journal Scope:
Quarterly published in print and online ‘Inventi Rapid/Impact: Biomedical Imaging’ publishes high quality unpublished as well as high impact pre-published research and reviews catering to the needs of researchers and professionals from medical as well as engineering fields. The journal covers fundamental and translational research focused on medical imaging yielding to early detection, diagnostics, and therapy of diseases, as well as of understanding the life sciences. Areas included are: Imaging physics, Tomographic reconstruction algorithms (e.g. CT and MRI), Image processing, Picture archiving and communications systems (PACS), Image perception and observer performance, Ultrasonic imaging, Image-guided procedures etc.
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AUTOMATED MEASUREMENT OF HETEROGENEITY IN CT IMAGES OF HEALTHY AND DISEASED RAT LUNGS USING VARIOGRAM ANALYSIS OF AN OCTREE DECOMPOSITION
Background: Assessing heterogeneity in lung images can be an important diagnosis tool. We present a novel and objective method for assessing lung damage in a rat model of emphysema. We combined a three-dimensional (3D) computer graphics method–octree decomposition–with a geostatistics-based approach for assessing spatial relationships–the variogram–to evaluate disease in 3D computed tomogr...
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ANIMAL STUDY ASSESSING SAFETY OF AN ACOUSTIC COUPLING FLUID THAT HOLDS THE POTENTIAL TO AVOID SURGICALLY INDUCED ARTIFACTS IN 3D ULTRASOUND GUIDED OPERATIONS
Background: Use of ultrasound in brain tumor surgery is common. The difference in attenuation between brain and isotonic saline may cause artifacts that degrade the ultrasound images, potentially affecting resection grades and safety. Our research group has developed an acoustic coupling fluid that attenuates ultrasound energy like the normal brain. We aimed to test in animals if the newly develop...
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MAMMOGRAPHIC IMAGES SEGMENTATION BASED ON CHAOTIC MAP CLUSTERING ALGORITHM
Background: This work investigates the applicability of a novel clustering approach to the segmentation of mammographic digital images. The chaotic map clustering algorithm is used to group together similar subsets of image pixels resulting in a medically meaningful partition of the mammography. Methods: The image is divided into pixels subsets characterized by a set of conveniently chosen feature...
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ASSESSMENT OF THE LEVEL OF AGREEMENT IN THE INTERPRETATION OF PLAIN RADIOGRAPHS OF LUMBAR SPONDYLOSIS AMONG CLINICAL PHYSIOTHERAPISTS IN GHANA
Background: Objective physical assessment of patients with lumbar spondylosis involves plain film radiographs (PFR) viewing and interpretation by the radiologists. Physiotherapists also routinely assess PFR within the scope of their practice. However, studies appraising the level of agreement of physiotherapists’ PFR interpretation with radiologists are not common in Ghana. Method: Forty-one (41...
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SPECIFIC CT 3D RENDERING OF THE TREATMENT ZONE AFTER IRREVERSIBLE ELECTROPORATION (IRE) IN A PIG LIVER MODEL: THE “CHEBYSHEV CENTER CONCEPT” TO DEFINE THE MAXIMUM TREATABLE TUMOR SIZE
Background: Size and shape of the treatment zone after Irreversible electroporation (IRE) can be difficult to depict due to the use of multiple applicators with complex spatial configuration. Exact geometrical definition of the treatment zone, however, is mandatory for acute treatment control since incomplete tumor coverage results in limited oncological outcome. In this study, the “Chebyshev Ce...
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INTELLIGENT NEONATAL MONITORING BASED ON A VIRTUAL THERMAL SENSOR
Background: Temperature measurement is a vital part of daily neonatal care. Accurate measurements are important for detecting deviations from normal values for both optimal incubator and radiant warmer functioning. The purpose of monitoring the temperature is to maintain the infant in a thermoneutral environmental zone. This physiological zone is defined as the narrow range of environmental temper...
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