Neuro Best Contrast Filter for Head CT

Slides:



Advertisements
Similar presentations
VBM Voxel-based morphometry
Advertisements

CT Scanning: Dosimetry and Artefacts
Computers and Computed Tomography
Image Reconstruction.
By Zach London. Goals Identify axial, sagittal, and coronal images Identify the following: –CT head without contrast –CT head with contrast –MRI brain.
Gordon Wright & Marie de Guzman 15 December 2010 Co-registration & Spatial Normalisation.
Improved Conspicuity of Abdominal Lesions with Single-Source Dual-Energy MDCT Hadassah Hebrew University Medical Center Jerusalem, Israel Ruth Eliahou.
Image Quality Bushong Chapter 7.
CS & CS Multimedia Processing Lecture 2. Intensity Transformation and Spatial Filtering Spring 2009.
1 Low-Dose Dual-Energy CT for PET Attenuation Correction with Statistical Sinogram Restoration Joonki Noh, Jeffrey A. Fessler EECS Department, The University.
IMAGE QUALITY.
Lower Dosage CT-guided Lung Biopsy Protocol Maintains Quality, Minimizes Exposure Jeremy Collins, MD Pegah E, Lewandowski RJ, Yaghmai V, Nemcek jr AA,
Advanced Biomedical Imaging Dr. Azza Helal A. Prof. of Medical Physics Faculty of Medicine Alexandria University Lecture 6 Basic physical principles of.
IMAGE QUALITY NOISE LINEARITY CROSS-FIELD UNIFORMITY IMAGE ARTIFACTS.
Surface Reconstruction from 3D Volume Data. Problem Definition Construct polyhedral surfaces from regularly-sampled 3D digital volumes.
Introduction to Image Quality Assessment
1 Vladimir Botchko Lecture 4. Image Enhancement Lappeenranta University of Technology (Finland)
tomos = slice, graphein = to write
3D CT Image Data Visualize Whole lung tissues Using VTK 8 mm
Lean Body Mass Assessment: Interpretations of Computed Tomography
Despeckle Filtering in Medical Ultrasound Imaging
Seeram Chapter 11: Image Quality
Digital Image Processing Chapter # 4 Image Enhancement in Frequency Domain Digital Image Processing Chapter # 4 Image Enhancement in Frequency Domain.
CS654: Digital Image Analysis Lecture 17: Image Enhancement.
THE DICOM 2013 INTERNATIONAL CONFERENCE & SEMINAR March 14-16Bangalore, India On handling low-dose CT images in the absence of reliable DICOM header information.
Reduction of effective and organ dose to the eye lens in cerebral MDCT scans using iterative image reconstruction Zizka J, Jandura J, Kvasnicka T, Klzo.
Beyond FLAIR: Expanding the Role of Inversion Recovery in MR Imaging of the Brain Ali Batouli 1 Michael Spearman 1 Michael Goldberg 1 Emmanuel Kanal 2.
CT QUALITY MANAGEMENT. SPATIAL RESOLUTION CONTRAST RESOLUTION NOISE IMAGE ARTIFACTS RADIATION DOSE.
Computer Graphics & Image Processing Chapter # 4 Image Enhancement in Frequency Domain 2/26/20161.
Characteristic Dynamic Enhancement Pattern of MR imaging for Malignant Thyroid Tumor XIX Symposium Neuroradiologicum Division of Head & Neck radiology.
TISSUE HARMONIC IMAGING (THI)
Introduction to Medical Imaging Week 2: X-ray and CT
iDose4: reduced noise, reduced artifacts, natural appearance
Spatial Filtering (Chapter 3) CS474/674 - Prof. Bebis.
Computed tomography. Formation of a CT image Data acquisitionImage reconstruction Image display, manipulation Storage, communication And recording.
IMAGE QUALITY. SPATIAL RESOLUTION CONTRAST RESOLUTION NOISE IMAGE ARTIFACTS RADIATION DOSE.
Chapter 10 Digital Signal and Image Processing
Computed Tomography Image Manipulation
Medical Image Analysis
Image Subtraction Mask mode radiography h(x,y) is the mask.
MAIN PROJECT IMAGE FUSION USING MATLAB
CT Scan vs MRI.
Computed Tomography Basics
Role of Adaptive Statistical Iterative Reconstruction (ASIR) in lowering radiation dose for pediatric head CT Electronic Poster-eP 140 Azadeh Tabari, MD.
Image quality and Performance Characteristics
MR Perfusion and Diffusion Values in Gliomas
Jeopardy Testing 1, 2, 3 She Has The Cancer Radiation or Chemo?
Ali Batouli1 Dennis Monks1 Sobia Mirza1 Michael Goldberg1
Shanzhou Niu1, Gaohang Yu2, Jianhua Ma2, and Jing Wang1
Fig. 1. Images of 43-year-old woman with metastatic lung nodule from rectal cancer show round pulmonary nodule measuring 5 mm (arrows) in left basal lung.
Authors: Prof. Joanna Wardlaw & Dr. Karen Ferguson
An avidly enhancing mass is seen in the left lobe on arterial-phase imaging. It is slightly hyperintense on portal-venous-phase imaging but overall isointense.
Medical Imaging Imagining Modalities.
CT BASICS AND CT BRAIN.
The Use of Wavelet Filters to De-noise µPET Data
Hu Li Moments for Low Resolution Thermal Face Recognition
Lecture 3 (2.5.07) Image Enhancement in Spatial Domain
Computed Tomography (CT)
MEDICAL IMAGING TECHNOLOGIES
CT images by texture analysis
Dual-Energy Computed Tomography
John H.L. Hansen & Taufiq Al Babba Hasan
Anatomical Measures John Ashburner
Roshan S Livingstone and Benedicta R Department of Radiology
Figure 1 Summary of patient-level SC-FC analysis pipeline
Advanced deconvolution techniques and medical radiography
VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
Case 10. Case 10. Organized hematoma of the maxillary sinus in a 76-year-old woman. A, Precontrast axial CT scan with bone window setting shows a large,
Review and Importance CS 111.
Computed Tomography (C.T)
Presentation transcript:

Neuro Best Contrast Filter for Head CT XIX Symposium Neuroradiologicum Evaluation of Neuro Best Contrast Filter for Head CT Z. Rumboldt, S. Tipnis, D. Vincent, M.V. Spampinato, G. Goldsberry, W. Huda Medical University of South Carolina Charleston, SC, USA

Background CT images traditionally reconstructed using filtered back projection techniques (FBP) FBP limitations: geometry, data completeness, radiation dose Increased spatial resolution is directly correlated with increased image noise

Facts Analysis Diagnostic value of CT images is limited by the available contrast-to-noise ratio (CNR) CNR is small particularly for soft tissue (with low contrast) CNR improvement by higher dose is undesirable Analysis Image noise is dominated by high spatial frequencies Soft tissue representation (low contrast detectability) mainly depends on medium/low frequencies  Image enhancement by frequency band-selective processing

noise divided by contrast spatial frequency noise divided by contrast high freq. band low freq. band details with high contrast (vessels, bone, …) soft tissue contrast

Decomposition into Frequency Bands high pass sharp details and major part of noise complementary filters low pass smooth content, but little noise

Multiband Image Enhancement (MBE) I small details high pass complementary filters + low pass non-linear look-up original image enhanced image contrast enhancement without substantial increase of noise

original image NBC image

MBE improves CNR of specific image features Head: gray/white matter differentiation (CNR gain up to ~40%) CNR improvement can be translated into radiation dose reduction 30% less dose demonstrated in example realistic in general: 20% (further clinical studies needed)

Background

Purpose NBC Evaluation in a Clinical Setting Novel Methodology for lesion detection Comparison with normal scans with the same filter, not the same scan with different filters side by side

Materials and Methods Part 1 5 consecutive Head CT scans with FBP 7 consecutive Head CT scans with NBC HU measurements – circular ROI Part 2 Novel Methodology for lesion detection

Materials and Methods Total screened 228 Age range selected 25 through 85 Both genders 24 abnormal subjects - 30 lesions: 21 hypointense 7 hyperintense 1 mixed 1 isointense 12 normal subjects selected to match

Materials and Methods In house software (MUSC, Matthew Daniels, website accessible on campus network) Displayed pairs of single slice CT - Abnormal on Left Location and description of lesion given Rating scale 1 to 10 1 = Barely discernable 10 = Definitely see lesion PATHOLOGY COMPARED TO THE NORMAL 3 sets for each pair: FBP, NBC, IRIS

Materials and Methods Analysis Ratios of obtained values: NBC/FBP Every reader trained on practice set prior to study Individual randomization for every reader Every reader trained on practice set prior to study Individual randomization for every reader Materials and Methods Every reader trained on practice set prior to study   Individual randomization for every reader Analysis Ratios of obtained values: NBC/FBP IRIS/FBP

Materials and Methods FBP IRIS NBC

Materials and Methods FBP

Materials and Methods IRIS

Materials and Methods NBC

Results FBP Part 1 CSF FAT BONE GM WM 39.83 32.30 42.71 34.62 40.49 10.72 -91.52 1166 39.83 32.30 11.7 -2.6 1158 42.71 34.62 10.14 -73.01 1124 40.49 32.41 8.511 -62.14 938 38.55 31.97 10.85 -98 734 39.68 33.37 8.45 -101 1005 37.28 32.73 6.68 -80.71 849.9 38.15 32.45 9.5787 -72.7114 996.4143 39.5271 32.8357 1.7583 33.8746 165.8116 1.7829 0.8987

Results NBC CSF FAT BONE GM WM 5.1 -107 901 37.00 26.00 4.3 -81.9 1009 37.42 26.62 0.05 -99.33 963.4 34.13 24.61 5.2 -84.98 917 38.46 30.80 4.9 -90.66 1019 36.90 27.80 2.8 -76 1219 37.40 24.11 1.53 -64.48 869 33.54 21.61 5.9 -82 763 37.69 26.48 3.77 -105 738.2 36.71 26.21

Results GM WM 39.53 32.84 FBP 36.58 26.03 NBC CSF FAT BONE 9.5787 -72.7114 996.4143 39.53 32.84 1.7583 33.8746 165.8116 1.7829 0.8987 FBP 3.7277 -87.9278 933.1778 36.58 26.03 1.8162 13.1863 136.6727 1.5522 2.3969 NBC

Results mean difference in HU between GM and WM: 6.69 with standard FBP 10.55 using NBC Avg. increase 3.86 HU NBC FBP

NBC/FBP lesion detection ratio Part 2 NBC/FBP lesion detection ratio AVG. HYPO RATIO 1.34 1.69 1.07 SD HYPO RATIO 0.77 2.13 0.43 AVG. HYPER RATIO 1.51 1.12 1.02 SD HYPER RATIO 0.72 0.48 0.18 AVG. RATIO 1.45 1.54 1.09 SD RATIO 0.82 1.82 0.41 Rater 1 Rater 2 Rater 3

Pooled Results – all 3 raters NBC/FBP Pooled Avg. Hypo 1.37 Pooled Std.Dev. Hypo 1.34 Pooled Avg. Hyper 1.22 Pooled Std.Dev. Hyper 0.53 Pooled Average 1.36 Pooled Std. Dev 1.18

Conclusion NBC filter provides increased contrast between GM and WM on Head CT scans, which seems to improve lesion detection Alternatively, it may allow for a decrease in radiation dose