2014.06.20 CSED451 Term Project Jaeyong Jeong 20130906 Minsung Sung 20120335 3D Reconstruction of realistic cardiac geometry from medical images.

Slides:

Advertisements

Similar presentations

Reconstruction from Voxels (GATE-540)

Advertisements

Patient specific reconstruction of vascular network for hemodynamic modeling Yury Ivanov (INM RAS), Roman Pryamonosov (MSU), 2014, Moscow.

3D Head Mesh Data Stereo Vision Active Stereo 3D Reconstruction 3dMD System 1.

Text Scaffolds for Effective Surface Labeling Gregory Cipriano and Michael Gleicher.

20 10 School of Electrical Engineering &Telecommunications UNSW UNSW 10 Nicholas Webb (Author), David Taubman (Supervisor) 15 October 2010.

Trans-rectal near-infrared optical tomography reconstruction of a regressing experimental tumor in a canine prostate by using the prostate shape profile.

CLASS 9 ADVANCE RENDERING RAY TRACING RADIOSITY LIGHT FIELD CS770/870.

Piecewise Convex Contouring of Implicit Functions Tao Ju Scott Schaefer Joe Warren Computer Science Department Rice University.

CSE554ContouringSlide 1 CSE 554 Lecture 4: Contouring Fall 2013.

lecture 4 : Isosurface Extraction

Surface Reconstruction from 3D Volume Data. Problem Definition Construct polyhedral surfaces from regularly-sampled 3D digital volumes.

Stockman CSE/MSU Fall 2005 Models and Matching Methods of modeling objects and their environments; Methods of matching models to sensed data for recogniton.

ENGN 2500 Medical Image Analysis Project Progress Presentation Extraction and Visualization of Humerus, Radius and Ulna of Dogs “Subvoxel Polygonization.

Abstract: This poster presents technical details to generate an adaptive and quality tetrahedral finite element mesh of a human heart. An educational model.

Implicit Representations of Surfaces and Polygonalization Algorithms Dr. Scott Schaefer.

Geometry Image-based Shadow Volume Algorithm for Subdivision Surfaces Min Tang, Jin-Xiang Dong College of Computer Science, Zhejiang University {tang_m,

Fluid Surface Rendering in CUDA Andrei Monteiro Marcelo Gattass Assignment 4 June 2010.

ITUppsala universitet Data representation and fundamental algorithms Filip Malmberg

Marching Cubes A High Resolution 3D Surface Construction Algorithm.

Right Lung Left Lung.

CSE 8031 Models and Matching Methods of modeling objects and their environments; Methods of matching models to sensed data for recogniton.

Marching Cubes: A High Resolution 3D Surface Construction Algorithm

Volumetric and Blobby Objects Lecture 8 (Modelling)

1 Course 21: Manifolds and Modeling Monday 8:30-12:15 Cindy Grimm Media and Machines Lab Department of Computer Science and Engineering Washington University.

Volume Graphics (graduate course) Bong-Soo Sohn School of Computer Science and Engineering Chung-Ang University.

Statistical analysis of pore space geometry Stefano Favretto Supervisor : Prof. Martin Blunt Petroleum Engineering and Rock Mechanics Research Group Department.

Fast volumetric rendering of NURBS-based surfaces Andreas Maier Chair of Pattern Recognition (Computer Science 5) Friedrich-Alexander-University Erlangen-Nuremberg.

DIGITAL HIGH-RESOLUTION HEART PHANTOMS Abstract Background:X-ray based imaging modalities employ ionizing radiation with the potential for causing harmful.

Structures of the Heart. Valves Valves are structures that allow blood to flow through only one way (in one direction) when the heart contracts. They.

19/18/ :34 Graphics II Volume Rendering Session 10.

University of Coimbra Reconstruction of Voxels from Sensor Data Ricardo Martins Coimbra, 19 th January 2010 Doctoral Programme in Electrical Engineering.

Surface Modeling Visualization using BrainVISA Bill Rogers UTHSCSA – Research Imaging Center.

Reporter: Zhonggui Chen

Marching Cubes: A High Resolution 3D Surface Construction Algorithm William E. Lorenson Harvey E. Cline General Electric Company Corporate Research and.

Segmentation & Modeling ImagesSegmented Images Models.

A Registration-Based Atlas Propagation Framework for Automatic Whole Heart Segmentation Xiahai Zhuang (PhD) Centre for Medical Image Computing University.

An Automated Method for Geometric Reconstruction of Vertebrae from Clinical CT Scans Yifei Dai 10/19/2006.

3D Volume Visualization. Volume Graphics  Maintains a 3D image representation that is close to the underlying fully-3D object (but discrete)  경계표면 (Boundary.

Volume Visualization Presented by Zhao, hai. What’ volume visualization Volume visualization is the creation of graphical representations of data sets.

CSE554ContouringSlide 1 CSE 554 Lecture 4: Contouring Fall 2015.

Blood Flow Through the Heart. Right Lung Left Lung.

CHAPTER 5 CONTOURING. 5.3 CONTOURING Fig 5.7. Relationship between color banding and contouring Contour line (isoline): the same scalar value, or isovalue.

Geometry Synthesis Ares Lagae Olivier Dumont Philip Dutré Department of Computer Science Katholieke Universiteit Leuven 10 August, 2004.

Complete Distance Field Representation 報告者：陳陸剛. Outline Introduction Generate Volume Data Compute Distance Method Complete Distance Definition Distance.

M R I O f H e a r t referred to as magnetic resonance tomograph y (MRT) or, in chemistry, nuclear Magnetic resonance (NMR), is a method used to render.

Patient-specific Cardiovascular Modeling System using Immersed Boundary Technique Wee-Beng Tay a, Yu-Heng Tseng a, Liang-Yu Lin b, Wen-Yih Tseng c a High.

Advisor : Ku-Yaw Chang Speaker : Ren-Li Shen /6/12.

Author :J. Carballido-Gamio J.S. Bauer Keh-YangLeeJ. Carballido-GamioJ.S. BauerKeh-YangLee S. Krause S. MajumdarS. KrauseS. Majumdar Source : 27th Annual.

CDS 301 Fall, 2008 Domain-Modeling Techniques Chap. 8 November 04, 2008 Jie Zhang Copyright ©

Reducing Artifacts in Surface Meshes Extracted from Binary Volumes R. Bade, O. Konrad and B. Preim efficient smoothing of iso-surface meshes Plzen - WSCG.

ABSTRACT Background: Although 2D strain imaging has shown promise to define myocardial dysfunction, it provides only subjective assessment about the extent.

Date of download: 11/14/2017 Copyright © ASME. All rights reserved.

Flow of the Blood Through the Heart

CSc4730/6730 Scientific Visualization

ATCM 6317 Procedural Animation

Domain-Modeling Techniques

Reconstruction of Blood Vessel Trees from Visible Human Data Zhenrong Qian and Linda Shapiro Computer Science & Engineering.

Lecture 3 : Isosurface Extraction

Volume Graphics (lecture 4 : Isosurface Extraction)

Measurement of abdominal aortic aneurysms with three-dimensional ultrasound imaging: Preliminary report Daniel F. Leotta, PhD, Marla Paun, BS, Kirk W.

From Voxels to 3D Uri Mike.

Fast Marching and Level Set for Shape Recovery

Blood Vessels and The Heart

Procedural Animation Lecture 10: Volume simulation

Measurement accuracy of focal cartilage defects from MRI and correlation of MRI graded lesions with histology: a preliminary study Chris A McGibbon,

Visualization CSE 694L Roger Crawfis The Ohio State University.

Three Step Geometric Pipeline

Iso-Surface extraction from red and green samples on a regular lattice

Cardiac magnetic resonance imaging of the heart in a patient with pulmonary arterial hypertension. a) Short axis image. #: dilated right ventricle; ¶:

Presentation transcript:

CSED451 Term Project Jaeyong Jeong Minsung Sung D Reconstruction of realistic cardiac geometry from medical images

Background Set of 2D slices 3D model 3D reconstruction Image-based diagnosis for the heart has been done with selected 2D slices of the medical image. - This method has difficulty in making morphological diagnosis. Utility of the medical image is improved. - Accuracy of diagnosis and surgical planning is improved.

Heart Modeling STEP 1: Acquisition of MR images Resolution: 1.36mm (in plane) 8.00mm (between slices) Higher resolution on a longitudinal axis is required (Sunnybrook Health Science Centre, Toronto, 2009)

Heart Modeling STEP 1: Acquisition of MR images Resolution: 1.36mm (in plane) 8.00mm (between slices) Higher resolution on a longitudinal axis is required (Sunnybrook Health Science Centre, Toronto, 2009)

Heart Modeling STEP 2: Segmentation of MR images Left ventricle Right ventricle

Heart Modeling STEP 3: Define signed distance function Distance function, d Signed distance function, φ if

Heart Modeling STEP 3: Define signed distance function - Assign a signed distance to every grid points on every slices.

Heart Modeling STEP 4: Contour interpolation - Signed distances on neighbor slices are interpolated to refine resolution between slices. - Catmull-Rom spline method is used. Slice 1 Slice N Slice 2 Interpolation -(1/2) (E. Catmull and R. Rom, “A Class of Local Interpolating Splines” CAGD, 1974)

Heart Modeling STEP 4: Contour interpolation A sagittal plane A stack of slices without contour interpolation A stack of slices with contour interpolation -(2/2)

Heart Modeling STEP 5: Mesh generation - Mesh is generated from voxel data for rendering. - Marching cube algorithm is used. (W. E. Lorensen and H. E. Cline, “Marching Cubes: A high resolution 3D surface construction algorithm” SIGGRAPH, 1987)

Heart Modeling STEP 6: Visualization Aorta Left ventricle

Heart Modeling STEP 6: Visualization Pulmonary artery Right ventricle

Heart Modeling STEP 7: animation

Future work - Temporal interpolation - Semi-automated segmentation

Q&A

Thank you