Name
Title | ||
|---|---|---|
Soft tissue differentiation using multiband signatures of high resolution ultrasonic transmission tomography. |
Abstract | ||
|---|---|---|
In this paper, we are interested in soft tissue differentiation by multiband images obtained from the High-Resolution Ultrasonic Transmission Tomography (HUTT) system using a spectral target detection method based on constrained energy minimization (CEM). We have developed a new tissue differentiation method (called "CEM filter bank") consisting of multiple CEM filters specially designed for detecting multiple types of tissues. Statistical inference on the output of the CEM filter bank is used to make a decision based on the maximum statistical significance rather than the magnitude of each CEM filter output. We test and validate this method through three-dimensional interphantom/intraphantom soft tissue classification where target profiles obtained from an arbitrary single slice are used for differentiation over multiple other tomographic slices. The performance of the proposed classifier is assessed using receiver operating characteristic analysis. We also apply our method to classify tiny structures inside a bovine kidney and sheep kidneys. Using the proposed method we can detect physical objects and biological tissues such as styrofoam balls, chicken tissue, calyces, and vessel-duct successfully. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TMI.2004.843179 | IEEE Trans. Med. Imaging |
Keywords | Field | DocType |
filter bank,multiband images,high resolution ultrasonic transmission tomography,maximum statistical significance,statistical analysis,image resolution,bovine kidney,biomedical ultrasonics,constrained energy minimization (cem),spectral target detection,vessel-duct,three-dimensional interphantom/intraphantom soft tissue classification,calyces,constrained energy minimization,image classification,filters,sheep kidneys,high-resolution ultrasound transmission tomography (hutt),kidney,multiband signatures,biological tissues,soft tissue differentiation,receiver operating characteristic analysis,biological tissue detection,phantoms,medical image processing,chicken tissue,sensitivity analysis,styrofoam balls,receiver operator characteristic,high resolution,acoustic imaging,statistical inference,connective tissue,algorithms,ultrasound,chickens,statistical significance,ultrasonography,soft tissue,three dimensional,attenuation,tomography,frequency,biomedical engineering,artificial intelligence | Computer vision,Filter bank,Tomography,Artificial intelligence,Statistical inference,Classifier (linguistics),Soft tissue,Contextual image classification,Image resolution,Mathematics,Energy minimization | Journal |
Volume | Issue | ISSN |
24 | 3 | 0278-0062 |
Citations | PageRank | References |
4 | 0.51 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeong-Won Jeong | 1 | 17 | 5.64 |
| Tae-Seong Kim | 2 | 513 | 36.38 |
| Dae C Shin | 3 | 24 | 5.57 |
| Synho Do | 4 | 94 | 12.86 |
| Manbir Singh | 5 | 12 | 6.04 |
| vasilis z marmarelis | 6 | 219 | 29.17 |