Electronic colon cleansing using segmentation rays for virtual colonoscopy

Lakare, Sarang; Chen, Dongqing; Li, Lihong; Kaufman, Arie; Zhang, Liang

doi:10.1117/12.463608

Cited by 32 publications

(21 citation statements)

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“…These include a ray-based detection technique which utilized a predefined profile pattern to detect the interfaces [6], Morphological and linear filters [7], using image gradient information [8]. A Gaussian Mixture Model (GMM) optimized with EM using a MRF for spatial consistency is described in [5].…”

Section: Previous and Related Workmentioning

confidence: 99%

A Markov Random Field orientation prior for electronic cleansing in CT Colonography

Krishnan

Desai

2015

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Tagging of the bowel content with an oral contrast facilitates CT Colonography with limited bowel preparation. Electronic colon cleansing (ECC) reconstructs the colon lumen, devoid of feces from a CT scan acquired with fecal fluid tagging. A popular method to estimate the stool composition in an image (with the purpose of removing it) is the well-established Expectation Maximization (EM) method. The tagged fluid residue appears as a contrast enhanced region with a largely horizontal interface with air above it. One of the issues is the partial volume (PV) effect that creates voxels with attenuations similar to that of the colon wall at the boundary of air and tagged fluid. We present here, a novel orientation prior formulated as a Markov Random Field that is included as part of the EM tissue segmentation framework to mitigate this PV effect at the air and tagged fluid layer. We show quantitative results on a simple synthetic dataset and qualitative results on patient data that highlight improvements due to the inclusion of the orientation prior.

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Section: Previous and Related Workmentioning

confidence: 99%

A Markov Random Field orientation prior for electronic cleansing in CT Colonography

Krishnan

Desai

2015

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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“…After more than a decade of investigation, EC has reached a level of sophistication that allows for visualization of the entire colonic surface [11]. Various EC methods have been developed, including voxel classification [12], [13], gradient-based edge detection [7], [14], material transition [15], structure analysis [16], mosaic decomposition [17], and hybrid methods [18]- [20]. However, existing EC methods tend to generate artifacts and pitfalls in cleansed CTC images, which impair the diagnostic performance of cleansed CTC images [21], [22].…”

Section: Introductionmentioning

confidence: 99%

Electronic Cleansing in Fecal-Tagging Dual-Energy CT Colonography Based on Material Decomposition and Virtual Colon Tagging

Cai

Lee

Zhang

et al. 2015

IEEE Trans. Biomed. Eng.

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Dual-energy CT provides a promising solution to identify tagged fecal materials in electronic cleansing (EC) for fecal-tagging CT colonography (CTC). In this study, we developed a new EC method based on virtual colon tagging (VCT) for minimizing EC artifacts by use of the material decomposition ability in dual-energy CTC images. In our approach, a localized three-material decomposition model decomposes each voxel into a material mixture vector and the first partial derivatives of three base materials: luminal air, soft tissue, and iodine-tagged fecal material. A Poisson-based derivative smoothing algorithm smoothes the derivatives and implicitly smoothes the associated material mixture fields. VCT is a means for marking the entire colonic lumen by virtually elevating the CT value of luminal air as high as that of the tagged fecal materials to differentiate effectively soft-tissue structures from air-tagging mixtures. A dual-energy EC scheme based on VCT method, denoted as VCT-EC, was developed, in which the colonic lumen was first virtually tagged and then segmented by its high values in VCT images. The performance of the VCT-EC scheme was evaluated in a phantom study and a clinical study. Our results demonstrated that our VCT-EC scheme may provide a significant reduction of EC artifacts.

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“…Furthermore, it creates a great number of false positives, especially when a technique for computer aided detection of polyps is utilized. Sophisticated image segmentation algorithms, which consider the feature of the tagged colonic materials and the partial volume effect, are needed to achieve a successful electronic colon cleansing [18][19][20][21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

A feasibility study on laxative-free bowel preparation for virtual colonoscopy

et al. 2005

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Objective:To investigate the feasibility of laxative-free bowel preparation to relieve the patient stress in colon cleansing for virtual colonoscopy. Materials and Methods: Three different bowel-preparation protocols were investigated by 60 study cases from 35 healthy male volunteers. All the protocols utilize low-residue diet for two days and differ in diet for the third day -the day just prior to image acquisition in the fourth day morning. Protocol Diet-1 utilizes fluid or liquid diet in the third day, Diet-2 utilizes a food kit, and Diet-3 remains the low-residue diet. Oral contrast of barium sulfate (2.1%, 250 ml) was added respectively to the dinner in the second day and the three meals in the third day. Two doses of MD-Gastroview (60 ml) were ingested each in the evening of the third day and in the morning before image acquisition. Images were acquired by a single-slice detector spiral CT (computed tomography) scanner with 5 mm collimation, 1 mm reconstruction, 1.5-2.0:1.0 pitch, 100-150 mA, and 120 kVp after the colons were inflated by CO 2 . The contrasted colonic residue materials were electronically removed from the CT images by specialized computer-segmentation algorithms. Results: By assumptions that the healthy young volunteers have no polyp and the image resolution is approximately 4 mm, a successful electronic cleansing is defined as "no more than five false positives and no removal of a colon fold part greater than 4 mm" for each study case. The successful rate is 100% for protocol Diet-1, 77% for Diet-2 and 57% for Diet-3. Conclusion: A laxative-free bowel preparation is feasible for virtual colonoscopy.

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Electronic colon cleansing using segmentation rays for virtual colonoscopy

Cited by 32 publications

References 0 publications

A Markov Random Field orientation prior for electronic cleansing in CT Colonography

A Markov Random Field orientation prior for electronic cleansing in CT Colonography

Electronic Cleansing in Fecal-Tagging Dual-Energy CT Colonography Based on Material Decomposition and Virtual Colon Tagging

A feasibility study on laxative-free bowel preparation for virtual colonoscopy

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