A5076595110- Medical Imaging and Analysis
- Ultrasound Imaging and Elastography
- Medical Image Segmentation Techniques
- Cell Image Analysis Techniques
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Image Processing Techniques and Applications
- Advanced Fluorescence Microscopy Techniques
- Photoacoustic and Ultrasonic Imaging
- Radiomics and Machine Learning in Medical Imaging
- Biomedical and Engineering Education
- Glaucoma and retinal disorders
- Digital Imaging for Blood Diseases
- Dental Radiography and Imaging
- Clusterin in disease pathology
- Retinal Imaging and Analysis
- Advanced X-ray and CT Imaging
- Spinal Fractures and Fixation Techniques
- Morphological variations and asymmetry
- Prostate Cancer Diagnosis and Treatment
- Scoliosis diagnosis and treatment
Universidad Nacional Autónoma de México
2008-2025
We developed NeuronGrowth, a software for the automatic quantification of extension and retraction neurites filopodia, from time-lapse sequences two-dimensional digital micrographs. NeuronGrowth requires semiautomatic characterization individual in reference frame, which is then used tracking measurement every neurite over whole image sequence. Modules sequence alignment, background subtraction, flat field correction, light normalization, cropping have been integrated to improve quality...
We present a method for semi-automatic tracing and measuring of neurite outgrowth from time-lapse sequences digital Nomarski micrographs. The algorithm is based on ridge extraction characterization single frame, followed by an automatic tracking measurement along the image sequence. Our was tested with two one containing 29 other 77 frames taken at intervals 2 min. rendered comparable length measurements but better time performance than made use certain public software.
The intraoperative registration of preoperative CT volumes is a key process most computer-assisted orthopedic surgery (CAOS) systems. In this work, reported new method for automatic long bones, based on the segmentation bone cortical in 3D ultrasound images. A classifier was developed features, obtained from principal component analysis Hessian matrix, every voxel an volume. freehand used acquisition volumes. Corresponding surface segmentations and imaging were registration. Validation...
X-ray imaging is currently the gold standard for assessment of spinal deformities. The purpose this study to evaluate a freehand 3D ultrasound system volumetric reconstruction spine. A setup consisting an scanner with linear transducer, electromagnetic measuring and workstation was used. We conducted 64 acquisitions US images 8 adults in natural standing position, we tested three setups: 1) Subjects are constrained be close wall, 2) unconstrained, 3) performing fast slow acquisitions....
Image-guided interventions allow the physician to have a better planning and visualization of procedure. 3D freehand ultrasound is non-invasive low-cost imaging tool that can be used assist medical procedures. This in diagnosis treatment breast cancer. There are common practices involve large needles obtain an accurate In this study we propose use for guiding such procedures as core needle biopsy radiofrequency ablation. The proposed system will help identify lesion area, using...
Computer Assisted Orthopedic Surgery (CAOS) requires a correct registration between the patient in operating room and virtual models representing computer. In order to increase precision accuracy of set new techniques that eliminated need use fiducial markers have been developed. The majority these newly developed systems are based on costly intraoperative imaging like Computed Tomography (CT scan) or Magnetic resonance (MRI). An alternative methods is an Ultrasound (US) system for...
Ultrasound (US) bone segmentation is an important component of US-guided or- thopaedic procedures. While there are many published techniques, no direct way to compare their performance. We present a solution this, by curating multi-institutional set US images and corresponding segmentations, systematically evaluating six previously-published algorithms using consistent metric definitions. find that learning-based methods outperform traditional al- gorithms rely on hand-crafted image...
In recent years it has been more common to see 3D visualization of objects applied in many different areas. neuroscience research, neurons acquired at depth views (i.e. image stacks) by means confocal microscopy are increase use. However the best case, these visualizations only help have a qualitative description neuron shape. Since is well know that neuronal function intimately related its morphology. Having precise characterization structures such as axons and dendrites critical perform...
Accurate automatic segmentation of the prostate in ultrasound images is still a challenging research problem. In this work, we propose use gray level images, constructed with sample profiles perpendicular to contour prostate. A two dimensional principal component analysis (2D PCA) was performed on set training images. The reconstruction error from 2D PCA used as an objective function for adjustment point distribution model Our method validated 9 and compared optimization based mean...