This document provides instructions for automatically registering two structural MR datasets using a mutual information algorithm in 3D Slicer. It describes loading the datasets, visualizing the initial misalignment, defining an initial manual transformation, running the automatic registration using mutual information to maximize similarity, optionally refining the registration interactively, and applying the final transformation to spatially align the datasets. The goal is to demonstrate how to register a pre-operative MR with an intra-operative MR acquired with different scanners.
Registers - Serial in serial out, Serial in Parallel out, Parallel in serial out, Parallel in Parallel
out registers, Bidirectional shift registers, universal shift registers.
Counters - Synchronous and asynchronous counters, UP/DOWN counters, Modulo-N
Counters, Cascaded counter, Programmable counter, Counters using shift registers, application
of counters.
References1. HCS 2010 online manuals.2. Data Data provi.docxdebishakespeare
References:
1. HCS 2010 online manuals.
2. Data: Data provided for Lab 6
3. Software: HCS 2010
Objectives: The objective of this exercise is to become familiar with operational-level signal timing software. The software you will use is the implementation of the Highway Capacity Manual 2010. General notes regarding this lab:
· The intersection you will be using for analysis is Lake Mary Rd. and High Country Trail. Take a look at this intersection on Google Maps. Draw a rough sketch of the intersection, showing lane usage. Be sure to include a North Arrow, as well as movements (with numbers….use movement 2 for Northbound through). (2)
· Operational data for this intersection is provided in the file ‘Lab6data.xlsx’ open this file.
· The timing data given is for pretimed 2-phase operation. What is the cycle length given? (1)
Background: The HCS2010 software does not exactly duplicate the HCM 2010 methods but it is reasonably close. One difference is in the optimization algorithms, which are specific to the software and are not specified in the HCM 2010.
The software will not design your timing plan for you (It can, but we will not be using that option). It is used as a calculation tool to help you determine which combination of green interval lengths and cycle length provide the best LOS (or lowest delay) with safe operation.
A proper phase plan is a critical aspect of signal timing design. Once the phase plan has been developed, most of the signal timing can be systematically treated in a deterministic fashion. There are several important considerations you need to keep in mind when establishing a phase plan for your intersection:
1. Safety: Phasing can be used to minimize accident risks by separating the competing movement. A traffic signal always eliminates the basic through crossing conflicts present at the intersections.
2. Lost time per cycle: In addition, left-turn protection can also be used to eliminate the conflicts between left-turning movements and the opposing through movement. However, additional phasing can also lead to more lost time per cycle and therefore additional delay.
3. Sat flow rates for LTs: While increasing the number of phases also increases the total lost time in the cycle, a benefit is that this also increases the affected left-turn saturation flow rates. This in turn can lead to less delay.
Lab Steps:
1. Open the HCS2010 software on a PC in Rm. 114 or 113. Open the traffic signals module.
2. When you start a new traffic signal file, a dialog box will appear asking you to verify settings of the intersection. The only setting you need to adjust is that of the forward direction, which is used for arterial analysis. Even though we will only be working with one intersection, you should still choose NB for this. All other settings can be left at their default.
3. You will be entering data in the following sections:
a. Primary Input Data (All Sections), shown in Figure 1
b. Detailed I ...
Feature selection is the fundamental step in image
registration. Various tasks such as feature extraction, detection
are based on feature based approach. In the current paper we are
going to discuss about our technique that is hybrid of Local affine
and thin plate spline. An automatic edge detection method to
achieve the correct edge map is put forward to dealing with
image registration with affine transformation for the better
image registration. Registration algorithms compute
transformations to set correspondence between the two images.
The purpose of this paper is to provide a comprehensive
comparison of the existing literature available on Image
registration methods with proposed technique
Registers - Serial in serial out, Serial in Parallel out, Parallel in serial out, Parallel in Parallel
out registers, Bidirectional shift registers, universal shift registers.
Counters - Synchronous and asynchronous counters, UP/DOWN counters, Modulo-N
Counters, Cascaded counter, Programmable counter, Counters using shift registers, application
of counters.
References1. HCS 2010 online manuals.2. Data Data provi.docxdebishakespeare
References:
1. HCS 2010 online manuals.
2. Data: Data provided for Lab 6
3. Software: HCS 2010
Objectives: The objective of this exercise is to become familiar with operational-level signal timing software. The software you will use is the implementation of the Highway Capacity Manual 2010. General notes regarding this lab:
· The intersection you will be using for analysis is Lake Mary Rd. and High Country Trail. Take a look at this intersection on Google Maps. Draw a rough sketch of the intersection, showing lane usage. Be sure to include a North Arrow, as well as movements (with numbers….use movement 2 for Northbound through). (2)
· Operational data for this intersection is provided in the file ‘Lab6data.xlsx’ open this file.
· The timing data given is for pretimed 2-phase operation. What is the cycle length given? (1)
Background: The HCS2010 software does not exactly duplicate the HCM 2010 methods but it is reasonably close. One difference is in the optimization algorithms, which are specific to the software and are not specified in the HCM 2010.
The software will not design your timing plan for you (It can, but we will not be using that option). It is used as a calculation tool to help you determine which combination of green interval lengths and cycle length provide the best LOS (or lowest delay) with safe operation.
A proper phase plan is a critical aspect of signal timing design. Once the phase plan has been developed, most of the signal timing can be systematically treated in a deterministic fashion. There are several important considerations you need to keep in mind when establishing a phase plan for your intersection:
1. Safety: Phasing can be used to minimize accident risks by separating the competing movement. A traffic signal always eliminates the basic through crossing conflicts present at the intersections.
2. Lost time per cycle: In addition, left-turn protection can also be used to eliminate the conflicts between left-turning movements and the opposing through movement. However, additional phasing can also lead to more lost time per cycle and therefore additional delay.
3. Sat flow rates for LTs: While increasing the number of phases also increases the total lost time in the cycle, a benefit is that this also increases the affected left-turn saturation flow rates. This in turn can lead to less delay.
Lab Steps:
1. Open the HCS2010 software on a PC in Rm. 114 or 113. Open the traffic signals module.
2. When you start a new traffic signal file, a dialog box will appear asking you to verify settings of the intersection. The only setting you need to adjust is that of the forward direction, which is used for arterial analysis. Even though we will only be working with one intersection, you should still choose NB for this. All other settings can be left at their default.
3. You will be entering data in the following sections:
a. Primary Input Data (All Sections), shown in Figure 1
b. Detailed I ...
Feature selection is the fundamental step in image
registration. Various tasks such as feature extraction, detection
are based on feature based approach. In the current paper we are
going to discuss about our technique that is hybrid of Local affine
and thin plate spline. An automatic edge detection method to
achieve the correct edge map is put forward to dealing with
image registration with affine transformation for the better
image registration. Registration algorithms compute
transformations to set correspondence between the two images.
The purpose of this paper is to provide a comprehensive
comparison of the existing literature available on Image
registration methods with proposed technique
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
Follow us on: Pinterest
Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
Muktapishti is a traditional Ayurvedic preparation made from Shoditha Mukta (Purified Pearl), is believed to help regulate thyroid function and reduce symptoms of hyperthyroidism due to its cooling and balancing properties. Clinical evidence on its efficacy remains limited, necessitating further research to validate its therapeutic benefits.
Here is the updated list of Top Best Ayurvedic medicine for Gas and Indigestion and those are Gas-O-Go Syp for Dyspepsia | Lavizyme Syrup for Acidity | Yumzyme Hepatoprotective Capsules etc
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Integrating Ayurveda into Parkinson’s Management: A Holistic ApproachAyurveda ForAll
Explore the benefits of combining Ayurveda with conventional Parkinson's treatments. Learn how a holistic approach can manage symptoms, enhance well-being, and balance body energies. Discover the steps to safely integrate Ayurvedic practices into your Parkinson’s care plan, including expert guidance on diet, herbal remedies, and lifestyle modifications.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
Triangles of Neck and Clinical Correlation by Dr. RIG.pptx
Registration-3771
1. Slicer Advanced Training 11: Registration Sonia Pujol, Ph.D. Surgical Planning Laboratory Radiology, Brigham and Women’s Hospital Harvard Medical School Randy Gollub, M.D., Ph.D. Athinoula A. Martinos Center Psychiatry, Massachusetts General Hospital Harvard Medical School
2.
3.
4.
5. Goal of the tutorial Guiding you step-by-step through the process of automatically registering two structural MR datasets using a mutual information algorithm. In this tutorial, an example of registration of a pre-operative MR dataset with an intra-operative MR dataset is used.
6.
7. Processing pipeline Automatic registration Final Transform Semi-automatic refinement of the registration no yes Manual registration Initial transform Result OK ? (Step 2) (Step 3) (Step 4) Data loading (Step 1)
24. Rigid Transform By applying the registration transform to the initial volume I 1, we’ll generate a new volume spatially aligned with the volume I 2. This allows the extraction of complementary information from the two volumes. Image Space 1 Image Space 2 I 2 I 1
25. Adding a transformation To perform an initial manual registration between the two volumes, select the volume reg-nhdr and click on Add Transform. You will manually define the parameters of the initial registration matrix by using the mouse to superimpose the two volumes.
26. Adding a transformation Slicer adds the transform transform0 defined by the Identity matrix manual0. Double-click on manual0 to display the translation and rotation elements.
27. Adding a transformation Slicer displays the three translation parameters and the three rotation angles of the matrix manual0 (identity). The six degrees of freedom are defined in the anatomical directions Left-Right (LR), Posterior-Anterior (PA) and Inferior-Superior (IS).
28. Processing pipeline Automatic registration Final Transform Semi-automatic refinement of the registration no yes Manual registration Initial transform Result OK ? (Step 2) (Step 3) (Step 4) Data loading (Step 1)
29. Defining an initial transformation Click on Local and set the Mouse Action to Translate
30. Defining an initial transformation Hold the left mouse button down while clicking in the in the Axial view, and translate the slice in the anterior direction by 10 mm.
31. Defining an initial transformation Slicer displays the value of the applied manual translation in the PA direction.
32. Defining an initial transformation Click on Rotate to define the rotation component of the initial transformation.
33. Defining an initial transformation Hold the left mouse button down while clicking in the coronal view. Use the mouse to rotate the slice until you see the value of 3 degrees (counterclockwise) in the coronal view.
34. Defining an initial transformation Slicer displays the value of the applied manual rotation.
35.
36. Similarity Measure I 2 T(I 1 ) The registration algorithm computes the parameters of the transformation T that optimizes a measure of similarity between the target image I 2 and the initial image that has been manually transformed T(I 1 ). T
37.
38. Processing pipeline Final Transform Semi-automatic refinement of the registration no yes Manual registration Initial transform Result OK ? (Step 2) (Step 3) (Step 4) Data loading (Step 1) Automatic registration
39. Automatic registration Select the panel Auto in the module Alignments. Set the Volume to Move to reg-nhdr (I 1 ) and the Reference Volume to I (I 2 ). Select the Registration Mode to Intensity
51. Registration result Click on the Props tab to display the parameters of the resulting rigid transformation T between the two datasets.
52.
53. Registration result Note a tilt and a misalignment in the Inferior-Superior direction: observe the difference in shape of the ventricles in T(I1) and I2. I2 T(I1)
54. Registration result Note a misalignment in the Inferior-Superior direction: observe the difference in white matter localization on the middle line in T(I1) and I2. I2 T(I1)
55. Processing pipeline Automatic registration Final Transform Semi-automatic refinement of the registration no yes Manual registration Initial transform Result OK ? (Step 2) (Step 3) (Step 4) Data loading (Step 1)
56. Refine the registration Click on the tab Auto and select the mode Coarse to refine the result of the registration. Click on Start to launch the algorithm.
57. Refine the registration Left-click in the sagittal view, and slightly move the slice with the mouse to correct the tilt.
58. Refine the registration Left-click in the saggital view and slightly move the slice down with the mouse to correct the vertical misalignment
59. Refine the registration Observe Slicer iterating the registration algorithm, and updating the position of the volume in the three anatomical views. Iterate the process until you are satisfied with the alignment of the two volumes.
60. Refine the registration Click on Stop to terminate the semi-automatic registration process Information on details and performances of the registration algorithm are available at http://www.itk.org/HTML/MutualInfo.htm
61. Example of registration result Before registration After automatic registration The results might differ very slightly: these pictures show an example of a good outcome. After semi-automatic refinement
62. Processing pipeline Automatic registration Final Transform Semi-automatic refinement of the registration no yes Manual registration Initial transform Result OK ? (Step 2) (Step 3) (Step 4) Data loading (Step 1)
63.
64. Apply the registration transform By applying the registration transform to the initial volume I 1, we’ll generate a new volume spatially aligned with the volume I 2. This allows the extraction of complementary information from the two volumes. Image Space 1 Image Space 2 I 2 I 1
65. Apply the registration transform Click on Modules Examples and select the module TransformVolume. In the following section, we’ll use the transform Volume module to resample the initial volume reg-nhdr through the transform transform0 calculated by the registration.
66. Apply the registration transform Select the Reference Volume reg-nhdr and the Resample Mode ReferenceVolume Choose the Interpolation Mode Cubic Click on Show Preview to visualize a preview of the transformed volume.
67. Apply the registration transform A pop-up window displays a preview of the resampled volume, after applying transform0 . Click on DoTransform to apply the final transform calculated through the registration to the volume reg-nhdr.
68. Apply the registration transform Slicer generates the final volume xformed-reg-nhdr, which has the same orientation and spacing as the volume reg-nhdr . (See ‘ SlicerTraining7: Saving Data ’ to save the volume on disk.)
69.
70. Appendix: TransformVolume The TransformVolume module offers the possibility to resample several volumes using the same transform. All the volumes will then be aligned to the same voxel space.