scholarly journals A SURVEY ON METHODS FOR RECONSTRUCTING SURFACES FROM UNORGANIZED POINT SETS / PAVIRŠIŲ REKONSTRUKCIJOS IŠ NESTRUKTŪRIZUOTŲ TAŠKŲ RINKINIŲ METODŲ APŽVALGA

2011 ◽  
Vol 3 (1) ◽  
pp. 10-14 ◽  
Author(s):  
Vilius Matiukas
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computer Vision ◽  
Magnetic Resonance ◽  
Computer Graphics ◽  
Laser Scanning ◽  
Alternative Methods ◽  
3D Laser Scanning ◽  
Resonance Imaging ◽  
Point Sets ◽  
3D Surfaces

This paper addresses the issue of reconstructing and visualizing surfaces from unorganized point sets. These can be acquired using different techniques, such as 3D-laser scanning, computerized tomography, magnetic resonance imaging and multi-camera imaging. The problem of reconstructing surfaces from their unorganized point sets is common for many diverse areas, including computer graphics, computer vision, computational geometry or reverse engineering. The paper presents three alternative methods that all use variations in complementary cones to triangulate and reconstruct the tested 3D surfaces. The article evaluates and contrasts three alternatives.

scholarly journals MRI image analysis methods and applications: an algorithmic perspective using brain tumors as an exemplar

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Vachan Vadmal ◽  
Grant Junno ◽  
Chaitra Badve ◽  
William Huang ◽  
Kristin A Waite ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computer Vision ◽  
Image Analysis ◽  
Magnetic Resonance ◽  
Brain Tumors ◽  
Computational Techniques ◽  
Complex Nature ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Mri ◽  
Mri Image

Abstract The use of magnetic resonance imaging (MRI) in healthcare and the emergence of radiology as a practice are both relatively new compared with the classical specialties in medicine. Having its naissance in the 1970s and later adoption in the 1980s, the use of MRI has grown exponentially, consequently engendering exciting new areas of research. One such development is the use of computational techniques to analyze MRI images much like the way a radiologist would. With the advent of affordable, powerful computing hardware and parallel developments in computer vision, MRI image analysis has also witnessed unprecedented growth. Due to the interdisciplinary and complex nature of this subfield, it is important to survey the current landscape and examine the current approaches for analysis and trend trends moving forward.

Magnetic Resonance Imaging Versus 3-Dimensional Laser Scanning for Breast Volume Assessment After Breast Reconstruction

2017 ◽  
Vol 78 (4) ◽  
pp. 455-459 ◽  
Author(s):  
Benjamin H.L. Howes ◽  
David I. Watson ◽  
Beverley Fosh ◽  
Jia Miin Yip ◽  
Pakan Kleinig ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Breast Reconstruction ◽  
Laser Scanning ◽  
Breast Volume ◽  
Resonance Imaging ◽  
3 Dimensional ◽  
Volume Assessment

scholarly journals Decoding and encoding models reveal the role of mental simulation in the brain representation of meaning

2020 ◽  
Vol 7 (5) ◽  
pp. 192043 ◽  
Author(s):  
David Soto ◽  
Usman Ayub Sheikh ◽  
Ning Mei ◽  
Roberto Santana
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computer Vision ◽  
Magnetic Resonance ◽  
Semantic Network ◽  
Word Meaning ◽  
Mental Simulation ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Depth Of Processing ◽  
The Brain

How the brain representation of conceptual knowledge varies as a function of processing goals, strategies and task-factors remains a key unresolved question in cognitive neuroscience. In the present functional magnetic resonance imaging study, participants were presented with visual words during functional magnetic resonance imaging (fMRI). During shallow processing, participants had to read the items. During deep processing, they had to mentally simulate the features associated with the words. Multivariate classification, informational connectivity and encoding models were used to reveal how the depth of processing determines the brain representation of word meaning. Decoding accuracy in putative substrates of the semantic network was enhanced when the depth processing was high, and the brain representations were more generalizable in semantic space relative to shallow processing contexts. This pattern was observed even in association areas in inferior frontal and parietal cortex. Deep information processing during mental simulation also increased the informational connectivity within key substrates of the semantic network. To further examine the properties of the words encoded in brain activity, we compared computer vision models—associated with the image referents of the words—and word embedding. Computer vision models explained more variance of the brain responses across multiple areas of the semantic network. These results indicate that the brain representation of word meaning is highly malleable by the depth of processing imposed by the task, relies on access to visual representations and is highly distributed, including prefrontal areas previously implicated in semantic control.

The Role of Magnetic Resonance Imaging in the Evaluation of Neoplastic Lesions of the Breast

1989 ◽  
Vol 75 (1) ◽  
pp. 14-17
Author(s):  
Raffaele Petrillo ◽  
Luca Balzarini ◽  
Anna Bargellini ◽  
Cesare Bartoli ◽  
Errico Ceglia ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Low Cost ◽  
Cost Benefit ◽  
Needle Aspiration ◽  
Alternative Methods ◽  
Resonance Imaging ◽  
Cost Benefit Ratio ◽  
Magnetic Resonance Imaging Mri ◽  
The Moment

Thirty-seven patients were evaluated for suspected breast cancer by magnetic resonance imaging (MRI) using 0.5- and 1.5-Tesla. We esamined the patterns in breast images and the use of MRI in evaluating neoplasms. At the moment the cost/benefit ratio is unfavorable, mainly because of the availability of alternative methods of high accuracy and low cost, like mammography and ultrasonography. Furthermore fine needle aspiration biopsy is not possible with MRI. The widespread use of MRI for breast pathology seems not to be justified by the results obtained.

scholarly journals Recurrent pyogenic granuloma caused by intraosseous vessel: A case report

2020 ◽  
Vol 4 (2) ◽  
pp. 039-041
Author(s):  
Var Hale ◽  
Sivrikaya Efe Can
Keyword(s):  
Magnetic Resonance Imaging ◽  
Case Report ◽  
Magnetic Resonance ◽  
Surgical Excision ◽  
Pyogenic Granuloma ◽  
Alternative Methods ◽  
Hormonal Changes ◽  
Resonance Imaging ◽  
Feeder Vessel ◽  
Chronic Irritation

Pyogenic granuloma is a benign localized lesion of the skin and mucosa closely related to trauma, chronic irritation and hormonal changes. The method of treatment is surgical excision. But relapses can occur. For this reason, treatment with alternative methods such as cryotherapy, electrocautery and laser has been investigated in recent years. In this case, the cause of PG was a feeder vessel. The lesion was excised before and recurred within two weeks. An intraosseous feeder vessel was identified by a magnetic resonance imaging. This vessel was exposed and cauterized with electrocautery.

Monitoring the ripening process of Iberian ham by computer vision on magnetic resonance imaging

Meat Science ◽  
2007 ◽  
Vol 76 (3) ◽  
pp. 561-567 ◽  
Author(s):  
Teresa Antequera ◽  
Andrés Caro ◽  
Pablo G. Rodríguez ◽  
Trinidad Pérez
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computer Vision ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Ripening Process
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