ADC Calculations Joshua Kim. I. Objective and Goals II. Current ADC Results III. Current Progress on MatLab Program Outline.

Slides:

Advertisements

Similar presentations

Linear Subspaces - Geometry. No Invariants, so Capture Variation Each image = a pt. in a high-dimensional space. –Image: Each pixel a dimension. –Point.

Advertisements

Wavelets Fast Multiresolution Image Querying Jacobs et.al. SIGGRAPH95.

Sorce: Suggestive Contours for Conveying Shape. (SIGGRAPH 2003) Doug DeCarlo, Adam Finkelstein, Szymon Rusinkiewicz, Anthony Santella. 1 Suggestive Contours.

Automatic determination of skeletal age from hand radiographs of children Image Science Institute Utrecht University C.A.Maas.

Observing users Chapter 12. Observation ● Why? Get information on.. – Context, technology, interaction ● Where? – Controlled environments – In the field.

Electronic Pitch Trainer Abstract: A baseball pitch has many properties that vary from pitch-to-pitch. Some of the more apparent properties are the release.

Solar Feature Catalogues S Zharkov, V V Zharkova, S S Ipson, A.Benkhalil, N.Fuller, J. Aboudarham.

Index Values NATIONAL STATISTICAL COORDINATION BOARD.

McDaniels – Sept 12, Outline Uncertainty in ADC value Correction Manuscript.

I) Methods of interpolation II) Cloud tracking III) Future Work : radar images & Flood modelling Maureen Coat ENSTA Paristech.

September 24, The ‘history’ program Yi Chih Liu Operation Group Taiwan Light Source.

Ahmed Awad Atsushi Takahash Satoshi Tanakay Chikaaki Kodamay ICCAD’14

Using Diffusion Weighted Magnetic Resonance Image (DWMRI) scans, it is possible to calculate an Apparent Diffusion Coefficient (ADC) for a Region of Interest.

Bimonthly Meeting on September 12, 2008 Uncertainty in Transcription of Lesion Contours to Diffusion Weighted Magnetic Resonance Images Amarjeet Bhullar.

1 Research Update LAE 9/26/08. 2 Uncertainty in Apparent Diffusion Coefficients Determined from Diffusion Weighted Magnetic Resonance Imaging

New method of staging of Neuropathic foot due to Hansen's disease using foot pressure image signal processing and early detection of foot at risk of plantar.

McDaniels – Oct 24, Outline MRI Image uncertainty Point uncertainty ADC uncertainty.

ADC Change with Pixel Shift Joshua Kim June 12, 2009.

1 Research Update LAE 8/22/08. 2 Uncertainty in Transcription of Lesion Contours to Diffusion Weighted Magnetic Resonance Images

McDaniels – Oct 10, Outline Geometric Uncertainty Uncertainty in average intensity due to lesion placement ADC uncertainty.

Inductive Local Correlation Tracking or, Getting from One Magnetogram to the Next Goal (MURI grant): Realistically simulate coronal magnetic field in eruptive.

McDaniels – Dec 19, Outline ADC Calculations – Estimation of placement uncertainty – Effect on Set 1 and Set 2 values.

McDaniels – Sept 26, Outline Patient 5 Exam 6 ADC uncertainty Manuscript.

I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=

DWMRI ADC Patient – Rhodes Four Exams. Rhodes 10 Contours 2 Lesions Exclusion Contour – Brain Stem.

1 Research Update LAE 12/5/08. 2 Variation of Lesion Intensity with Lesion Location Concerned about assumption stated in manuscript that uncertainty in.

McDaniels – Feb 29, Outline Patient 6 question Patient 11 ADC results Abstract for AAPM conference.

ENGR 3 rocks. Desktop-->Classes-->Matlab-Engineering-- >matlab_using_engineering_toolkits.bat.

McDaniels – April 25, Outline Patient 13 ADC Values Progress Update Patient 7 issues.

ADC Change with Pixel Shift Joshua Kim. I.Review II.Analysis Procedure III.ADC and Error Calculations IV.Current ADC Variation Results V.Future Work Outline.

I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=

McDaniels – Dec 5, Outline ADC Calculations – Estimation of placement uncertainty – Effect on Set 1 and Set 2 values.

McDaniels – Feb 8, Outline Patient 12 ADC results Whole lesion plots – Contour weighting factor.

Method for Determining Apparent Diffusion Coefficient Values for Cerebral Lesions from Diffusion Weighted Magnetic Resonance Imaging Examinations T.H.

Regression Approach To ANOVA

Face Detection using the Viola-Jones Method

Concussion Detection Research Tool Codi-Lee Hayes Samantha Mearns Rebecca Yaffe Dr. Thirimacho Bourlai Dr. Aaron Monseau.

ENDA MOLLOY, ELECTRONIC ENG. FINAL PRESENTATION, 31/03/09. Automated Image Analysis Techniques for Screening of Mammography Images.

Creating With Code.

Principal components were computed for normalized intensities from samples of the given tissue-chip combination. The first two principal components are.

Bibek Jang Karki. Outline Integral Image Representation of image in summation format AdaBoost Ranking of features Combining best features to form strong.

Temple University Summer Research Progress: Week 4 – GUI Development George Fava Department of Electrical and Computer Engineering Temple University URL:

Temple University Summer Research Progress: Week 2 – Extraction of Data George Fava Department of Electrical and Computer Engineering Temple University.

基督再來（一）. 經文： 1 你們心裡不要憂愁；你們信神，也當信我。 2 在我父的家裡有許多住處；若是沒有，我就早已告訴你們了。我去原是為你們預備地去。 3 我若去為你們預備了地方，就必再來接你們到我那裡去，我在那裡，叫你們也在那裡， ] ( 約 14 ： 1-3)

VUMC Soil Worm Activity Monitor Mohd Fakhrurrazi Mohd Salleh (EE) Suhaili Harun (EE) Amani Rafie (CompE) Saiful Azlan Adanan (BME)

CONTENTS:  Introduction.  Face recognition task.  Image preprocessing.  Template Extraction and Normalization.  Template Correlation with image database.

An Investigation of the Effect of Window and Level Controls on the accuracy of the ExacTrac Patient Repositioning System Dan Goldbaum and Russell Hamilton.

Images in Binary.

ФОНД ЗА РАЗВОЈ РЕПУБЛИКЕ СРБИЈЕ

SHAPE FROM SHADING (Calculus of Variations Approach)

Accuracy and Precision

محاسبات عددی و برنامه نویسی

Слайд-дәріс Қарағанды мемлекеттік техникалық университеті

.. -"""--..J '. / /I/I =---=-- -, _ --, _ = :;:.

II //II // \ Others Q.

'III \-\- I ', I ,, - -

I1I1 a 1·1,.,.,,I.,,I · I 1··n I J,-·

Objective - To graph ordered pairs on the coordinate plane.

Unit 3 Review (Calculator)

Presentation by: Lillian Lau

Supply Chain Management Strategy and Design

The Image The pixels in the image The mask The resulting image 255 X

The COORDINATE PLANE The COORDINATE PLANE is a plane that is divided into four regions (called quadrants) by a horizontal line called the x-axis and a.

Calculate 9 x 81 = x 3 3 x 3 x 3 x 3 3 x 3 x 3 x 3 x 3 x 3 x =

. '. '. I;.,, - - "!' - -·-·,Ii '.....,,......, -,

ADC imaging. ADC imaging. A, Delineation of the ROI (left, green limits), intensity versus b value graph of a representative pixel (right), and a parametric.

Types of Errors And Error Analysis.

Stream function in polar coordinate

Presentation transcript:

ADC Calculations Joshua Kim

I. Objective and Goals II. Current ADC Results III. Current Progress on MatLab Program Outline

Objective and Goals  Objective › To calculate ADC values for all patients  Goals › To study the pixel intensity variations with translation. › To calculate the combined effects of image statistical error with contour placement uncertainty. › To create a MatLab GUI program that can make the ADC analysis faster.

Current ADC Results (Meyers)

b = 0 b = 520 b = 850

MatLab Program  Problem: › Some lesions are very difficult to contour › Would like to study lesion pixel variation with translation. › Also: Want good organization of data and fast analysis

 MatLab: › User defined contours for b=0, 520 and 850. › Record coordinates (indices) of contour › Shift in 8 different directions by N pixels › Create ADC value plots as function of shift to study the pixel variations › Conclude effect of transcription uncertainty MatLab Program b = 0b = 520b = 850

Future Work  Complete transcription error component of MatLab  Write code for organizing data  Complete ADC calculations for all patients