Advances in Computing and Data Sciences by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9789811399398
Publisher: Springer Singapore

Intrinsic (Brain tissues)

Extrinsic (Image physical characteristics)

–Proton Density (PD)

–Magnetic Field Strength (MFS)

–Longitudinal Relaxation Tme (T1)

–Radio Frequency (RF)

–Transverse Relaxation Time (T2)

–Repetition Time (TR)

–Chemical Shift

–Echo Time (TE)

–Susceptibility

–Inversion Time (TI)

–RF pulse amplitude (Flip angle)

–b-value

2 MR Imaging and It’s Types

Irrespective of superiority of employed segmentation technique, segmentation quality depends greatly on contrast, amount of noise, and incomplete boundaries. In medical images good contrast supersedes all other basic requirements, as abnormal structure identification is completely based on certain contrast characteristics. However, image contrast is influenced by certain parameters listed in Table 1. These parameters are tuned for obtaining proper contrast to differentiate tumor from normal brain tissues (fat, gray matter, white matter, and CSF). Shape, size, and integrity of tumor tissues can be identified by keen analysis of MR images. Different compositions of tissue types result in varying MR image signals and hence various MR images like T1-weighted (T1W), T2-weighted (T2W), fluid attenuated inversion recovery (FLAIR), and proton density weighted (PDW) [5, 6]. Diffusion based MR images like diffusion weighted image (DWI) and apparent diffusion coefficient (ADC) are also used for early diagnosis and longitudinal evaluations. This study uses the two most common MR image types T1W and T2W.

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