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Computer-aided interpretation of med...

Paik, David Seungwon.

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Computer-aided interpretation of medical images.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computer-aided interpretation of medical images./
作者:	Paik, David Seungwon.
面頁冊數:	180 p.
附註:	Adviser: Sandy Napel.
Contained By:	Dissertation Abstracts International63-10B.
標題:	Biophysics, Medical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3067910
ISBN:	9780493875293

Computer-aided interpretation of medical images.
Paik, David Seungwon.

Computer-aided interpretation of medical images. - 180 p.

Adviser: Sandy Napel.

Thesis (Ph.D.)--Stanford University, 2002.

Diagnosis of disease from medical images is a difficult task. Both the information overload from modern high-resolution 3D scanners and the pressures on radiologists to read images more accurately and more efficiently add to the difficulty of unaided diagnosis.

ISBN: 9780493875293Subjects--Topical Terms:

1017681
Biophysics, Medical.

Computer-aided interpretation of medical images.
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502 $a Thesis (Ph.D.)--Stanford University, 2002.
520 $a Diagnosis of disease from medical images is a difficult task. Both the information overload from modern high-resolution 3D scanners and the pressures on radiologists to read images more accurately and more efficiently add to the difficulty of unaided diagnosis.
520 $a Computer aided interpretation describes the use of computer algorithms to facilitate the interpretation of medical images. In this dissertation, I present novel algorithms for computer aided interpretation in three categories: (1) data modeling, (2) volumetric visualization, and (3) computer aided detection (CAD). I evaluate these algorithms on a number of clinical applications, but primarily on CT colonography (virtual colonoscopy).
520 $a In the area of data modeling, I present a new algorithm for computing the 3D medial axis transform to find the centerline of various anatomic structures. I demonstrate its utility in automatic navigation of image volumes and quantitative analysis of anatomic structures. The evaluation includes several different applications: CT colonography, carotid artery stenosis detection from 4D ultrasound, and abdominal aortic stent graft planning. I also present novel evaluation methods for manual and automated lesion detection.
520 $a In the area of volumetric visualization, I present a number of novel visualization modes, with emphasis on a new visualization paradigm that I call map projection visualization. I empirically demonstrate how this paradigm solves the problems of conventional visualization and evaluate it for the detection of polyps from CT colonography.
520 $a In the area of CAD, I present two novel algorithms: the surface normal overlap algorithm and the lantern transform. These algorithms are both used for the detection of colonic polyps from CT colonography and for the detection of lung nodules from chest CT. I evaluate the accuracy of these algorithms as well as the gain in performance when radiologists utilize these algorithms.
520 $a Computer algorithms that analyze medical images have been described for many decades, but it is only recently that the need for computer aided interpretation has become irrefutable. This dissertation presents novel computer aided interpretation algorithms and demonstrates how they can be used to solve the information overload problem in several clinical imaging applications, with emphasis on CT colonography.
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