Fast and flexible distance measures for treatment planning

Rössling, Ivo; Cyrus, Christian; Dornheim, Lars; Boehm, Andreas; Preim, Bernhard

doi:10.1007/s11548-010-0519-3

Cited by 11 publications

(8 citation statements)

References 15 publications

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“…They allow to determine anchor points on the surface of the pre-segmented anatomical structures. Rossling et al [6] proposed a method for the automatic determination of different distance−based measures (shortest distance, diameters and wall thickness) also on segmented anatomic structures. The necessity of this kind of tool is justified by the fact that manual distance calculation is tedious and imprecise in single 2D slices, and although it is possible to achieve an accurate result in 3D, it would also be tiresome.…”

Section: Related Workmentioning

confidence: 99%

“…However, completely automatic measurements are difficult to generalize due to the great variety of problems and anatomical structures. Notice that both previous approaches [5,6] work on triangle mesh representations, so a surface extraction process is needed previously to use them. Moreover, they always select the nearest visible point and they do not deal with semi-transparent models.…”

Section: Related Workmentioning

confidence: 99%

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Data-Aware Picking for Medical Models

Monclús

Vázquez

Navazo

2014

Communications in Computer and Information Science

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Abstract. Medical doctors are often faced with the problem of selecting anchoring points in 3D space. These points are commonly used for measurement tasks, such as lengths of bones, or dimensions of pathological structures (e. g. tumours). Since previous research indicates that measurement tasks can be usually carried out more efficiently in VR environments than in desktop-based systems, we have concentrated on the development of selection tools for medical models. These models have a set of particularities such as the presence of semi-transparencies, and there is a lack of tools for measurement support for such models in VR environments. Our VR-based interaction technique uses the data to automatically generate candidate anchor points, and it is specially focused on the efficient selection of 3D points in datasets rendered using methods with semi-transparency such as Direct Volume Rendering. We will show that our method is effective, precise, and reduces the time and amount of movements required to set the anchor points as compared with other classical techniques based on clipping planes. We also provide a couple of improvements tailored to reduce the inherent imprecision of 3D devices due to hand vibration, and the flexibility in transfer function selection for anchor point definition.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Data-Aware Picking for Medical Models

Monclús

Vázquez

Navazo

2014

Communications in Computer and Information Science

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“…Die messbaren Volumen sind bei Segmentierung mit der verwendeten Software genauer als die Messung der identischen Lymphknoten mit der Volumenanalyse über die Software der radiologischen Konsole [ 11 ] . Ebenso ist die Messung beliebiger Distanzen und Volumina anderer vorsegmentierter Strukturen, wie auch dem Primärtumor möglich [ 12 ] . Dies setzt eine präzise Segmentierung voraus, deren Evaluierung noch aussteht.…”

Section: Segmentierung Als Basis Für Assistenzsystemeunclassified

Computergestützte Assistenz zur Verbesserung der Therapie-Planung in der Kopf-Hals-Onkologie

Boehm

Müller

et al. 2011

Laryngo-Rhino-Otol

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The ongoing development in therapies of head and neck malignomas has led to a further differentiation of treatment options. Complex surgical procedures, a wide variety of multi modal therapy options, changing radiation technologies (IMRT - Intensity-modulated radiation therapy) and numerous "targeted therapies" emphasize the need for a precise treatment plan. Beside this, imaging has seen significant improvements beyond the technical ones, e. g. with the implementation of PET/CT scanners. This increase in pre-therapeutic data volume, together with a diversification of treatment options calls for a further discussion of the basics of therapeutic decisions. Planning relevant data processing by computer assisted systems can aid in these decisions. This work describes the current status of relevant computer assisted systems undergoing first testing for head and neck cancer therapy planning. Here, the integration of 3-dimensional patient data plays a central role. This planning tool forms the integrated base for a further development in the areas of radiation planning, documentation and study management.

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“…As can be seen, however, such visualizations fail in communicating contextual information that is required to effectively interpret distance. Regardless the specific distance measure used, such as shortest distances via distance transforms [5,7,12], spatial distance always 'connects' two reference points, and the human is used to interpret distance in the context of such references. Due to this observation, distance coding in still images via connecting structures such as lines or glyphs has been shown to be very effective.…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…Due to this observation, distance coding in still images via connecting structures such as lines or glyphs has been shown to be very effective. Pang et al [10] used line primitives of varying length to indicate distances between two surfaces, and in [11,12] point-to-point distances between two selected anatomical features were visualized via arrow glyphs accompanied by textual annotations. Without such connecting structures the user has difficulties to associate the points the color is referring to and to use her experience for interpretation.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Distance Visualization for Interactive 3D Implant Planning

Dick

Burgkart

Westermann

2011

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. Distance visualization for interactive (> 30 fps) preoperative implant planning using color coding on the implant surface (left), oriented distance glyphs (middle), and color coding on the implant surface and on a set of additional axial slices (right).Abstract-An instant and quantitative assessment of spatial distances between two objects plays an important role in interactive applications such as virtual model assembly, medical operation planning, or computational steering. While some research has been done on the development of distance-based measures between two objects, only very few attempts have been reported to visualize such measures in interactive scenarios. In this paper we present two different approaches for this purpose, and we investigate the effectiveness of these approaches for intuitive 3D implant positioning in a medical operation planning system. The first approach uses cylindrical glyphs to depict distances, which smoothly adapt their shape and color to changing distances when the objects are moved. This approach computes distances directly on the polygonal object representations by means of ray/triangle mesh intersection. The second approach introduces a set of slices as additional geometric structures, and uses color coding on surfaces to indicate distances. This approach obtains distances from a precomputed distance field of each object. The major findings of the performed user study indicate that a visualization that can facilitate an instant and quantitative analysis of distances between two objects in interactive 3D scenarios is demanding, yet can be achieved by including additional monocular cues into the visualization.

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Fast and flexible distance measures for treatment planning

Cited by 11 publications

References 15 publications

Data-Aware Picking for Medical Models

Data-Aware Picking for Medical Models

Computergestützte Assistenz zur Verbesserung der Therapie-Planung in der Kopf-Hals-Onkologie

Distance Visualization for Interactive 3D Implant Planning

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