Visualization Modes for CT Colonography Using Cylindrical and Planar Map Projections

Ds, Paik; Cf, Beaulieu; Rb, Jeffrey; Ca, Karadi; Napel, Sandy

doi:10.1097/00004728-200003000-00001

Cited by 83 publications

(51 citation statements)

References 24 publications

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“…Several studies demonstrated, however, that alternative, comprehensive 3D review methods result in considerable shorter interpretation times than conventional fly-through virtual endoscopy review [12,13]. To our knowledge, at the present moment the literature on methods to review CT colonography [5][6][7][8][9][10][11][12][13] does not comprise reports on a comparison of a primary 3D review method with a primary 2D review method. Such a comparison is, however, entirely relevant as review methods are being debated for their potential role in the explanation of discrepant results in four large studies on CT colonography in low polyp prevalence patient groups [1][2][3][4].…”

Section: Discussionmentioning

confidence: 99%

“…As yet many investigators have developed methods to review CT colonography and tested these in small patient groups or phabtoms [5][6][7][8][9][10][11][12][13]. Despite the small body of evidence, the majority of CT colonography researchers use primary 2D reviews, probably based on practical grounds such as long review time and high computer requirements associated with 3D review.…”

Section: Introductionmentioning

confidence: 99%

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A comparison of primary two- and three-dimensional methods to review CT colonography

et al. 2006

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The aim of our study was to compare primary three-dimensional (3D) and primary two-dimensional (2D) review methods for CT colonography with regard to polyp detection and perceptive errors. CT colonography studies of 77 patients were read twice by three reviewers, first with a primary 3D method and then with a primary 2D method. Mean numbers of true and false positives, patient sensitivity and specificity and perceptive errors were calculated with colonoscopy as a reference standard. A perceptive error was made if a polyp was not detected by all reviewers. Mean sensitivity for large (≥10 mm) polyps for primary 3D and 2D review was 81% (14.7/18) and 70% (12.7/18), respectively (p-values ≥0.25). Mean numbers of large false positives for primary 3D and 2D were 8.3 and 5.3, respectively. With primary 3D and 2D review 1 and 6 perceptive errors, respectively, were made in 18 large polyps (p=0.06). For mediumsized (6-9 mm) polyps these values were for primary 3D and 2D, respectively: mean sensitivity: 67%(11.3/17) and 61%(10.3/17; p-values≥ 0.45), number of false positives: 33.3 and 15.6, and perceptive errors : 4 and 6 (p= 0.53). No significant differences were found in the detection of large and medium-sized polyps between primary 3D and 2D review.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A comparison of primary two- and three-dimensional methods to review CT colonography

et al. 2006

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“…Flattened versions of the colon surface may be a good complement for CT colonography or virtual colonoscopy; see [12,7] and the references therein.…”

Section: Introductionmentioning

confidence: 99%

Area-Preserving Mappings for the Visualization of Medical Structures

Zhu

Haker

Tannenbaum

2003

Lecture Notes in Computer Science

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Abstract. In this note, we present a method for flattening anatomical surfaces such as branched vessels and intestinal tracts in an areapreserving way. This method is based on the theory of optimal mass transport and conformal mapping of surfaces. The flattened representations differ minimally from conformality in a certain precise sense. Potential applications include the detection and visualization of pathologies such as stenoses and polyps.

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“…In almost all studies, CTC was based on the examination of CT images by an expert radiologist, using either the 2D images, 3D virtual colonoscopic views or both. Thus, until recently most efforts were directed towards developing better visualization and navigation techniques [4,[11][12][13][14][15][16][17][18][19]. Lately, more effort has been put into computer aided detection (CAD), whose ultimate goal is to identify polyps in a 3D CT data efficiently, and with high sensitivity and specificity.…”

Section: Introductionmentioning

confidence: 99%

Using Optical Flow Fields for Polyp Detection in Virtual Colonoscopy

Açar

Napel

Paik

et al. 2001

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001

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Abstract. Since the introduction of Computed Tomographic Colonography (CTC), research has mainly focused on visualization and navigation techniques. Recently, efforts have shifted towards computer aided detection (CAD) of polyps. We propose a new approach to CAD in CT images that attempts to model the way a radiologist recognizes a polyp using optical flow fields (OFF). Features extracted from OFFs are used by a linear classifier for polyp detection. An initial validation of our technique resulted in an average of 75% specificity at 100% sensitivity in a 10-fold cross validation study on a set of 220 polyp-like structures, 20 of which were true polyps.

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Visualization Modes for CT Colonography Using Cylindrical and Planar Map Projections

Abstract: The sensitivity of conventional CT colonography is limited by the percentage of the mucosal surface seen. Map projection CT colonography overcomes this problem and provides a more sensitive method with a high PPV for detecting polyps than other methods currently being investigated.

Cited by 83 publications

References 24 publications

A comparison of primary two- and three-dimensional methods to review CT colonography

A comparison of primary two- and three-dimensional methods to review CT colonography

Area-Preserving Mappings for the Visualization of Medical Structures

Using Optical Flow Fields for Polyp Detection in Virtual Colonoscopy

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